Bibliography
Published online by Cambridge University Press: 07 May 2021
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Publisher: Cambridge University PressPrint publication year: 2021
References
Abel, Andrew B., Bernanke, Ben S., and Croushore, Dean. 2012. Macroeconomics. Boston, MA: Pearson.Google Scholar
Achen, Christopher H. 2002. “Toward a New Political Methodology: Microfoundations and ART.” Annual Review of Political Science 5 (1): 423–450.Google Scholar
Achen, Christopher H. 2005. “Let’s Put Garbage-Can Regressions and Garbage-Can Probits Where They Belong.” Conflict Management and Peace Science 22 (4): 327–339.CrossRefGoogle Scholar
Achen, Christopher H. 2006. “Expressive Bayesian Voters, Their Turnout Decisions, and Double Probit: Empirical Implications of a Theoretical Model.” Working Paper. Princeton University, Typescript.Google Scholar
Achen, Christopher H. 2012. “When Is Myopic Retrospection Rational?” Typescript. Princeton University.Google Scholar
Achen, Christopher H., and Phillips Shively, W.. 1995. Cross-Level Inference. University of Chicago Press.Google Scholar
Adams, James, and Merrill, Samuel. 2006. “Why Small, Centrist Third Parties Motivate Policy Divergence by Major Parties.” The American Political Science Review 100 (3): 403–417.Google Scholar
Aidt, Toke S. 2000. “Economic Voting and Information.” Electoral Studies 19 (2): 349–362.Google Scholar
Akerlof, George A. 2002. “Behavioral Macroeconomics and Macroeconomic Behavior.” The American Economic Review 92 (3): 411–433.Google Scholar
Alcañiz, Isabella, and Hellwig, Timothy. 2011. “Who’s to Blame? The Distribution of Responsibility in Developing Democracies.” British Journal of Political Science 41 (2): 389–411.Google Scholar
Aldrich, John H. 1980. Before the Convention: Strategies and Choices in Presidential Nomination Campaigns. Chicago: University of Chicago Press.Google Scholar
Aldrich, John H. 1993. “Rational Choice and Turnout.” American Journal of Political Science 37 (1): 246–278.Google Scholar
Aldrich, John H., Alt, James E., and Lupia, Arthur. 2008. “The EITM Approach: Origins and Interpretations.” In The Oxford Handbook of Political Methodology, edited by Box-Steffensmeier, J. M., Brady, H. E., and Collier, D., 828–843. New York: Oxford University Press.Google Scholar
Alesina, Alberto, and Rosenthal, Howard. 1995. Partisan Politics, Divided Government, and the Economy. Cambridge, MA: Cambridge University Press.Google Scholar
Amadae, Sm, and de Mesquita, Bruce Bueno. 1999. “The Rochester School: The Origins of Positive Political Theory.” Annual Review of Political Science 2: 269–295.Google Scholar
Andreasen, Eugenia, Sandleris, Guido, and Van der Ghote, Alejandro. 2018. “The Political Economy of Sovereign Defaults.” Journal of Monetary Economics, September.Google Scholar
Ansolabehere, Stephen D., Iyengar, Shanto, and Simon, Adam. 1999. “Replicating Experiments Using Aggregate and Survey Data: The Case of Negative Advertising and Turnout.” The American Political Science Review 93 (4): 901–909.Google Scholar
Ansolabehere, Stephen D., Iyengar, Shanto, Simon, Adam, and Valentino, Nicholas. 1994. “Does Attack Advertising Demobilize the Electorate?” The American Political Science Review 88 (4): 829–838.CrossRefGoogle Scholar
Arifovic, Jasmina. 1991. “Learning by Genetic Algorithms in Economic Environments.” Doctoral Dissertation. Department of Economics, University of Arizona.Google Scholar
Arifovic, Jasmina. 1994. “Genetic Algorithm Learning and the Cobweb Model.” Journal of Economic Dynamics and Control, Special Issue on Computer Science and Economics, 18 (1): 3–28.Google Scholar
Arifovic, Jasmina. 1995. “Genetic Algorithms and Inflationary Economies.” Journal of Monetary Economics 36 (1): 219–243.CrossRefGoogle Scholar
Arifovic, Jasmina. 1996. “The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies.” Journal of Political Economy 104 (3): 510–541.Google Scholar
Arifovic, Jasmina. 1998. “Stability of Equilibria under Genetic Algorithm Adaption: An Analysis.” Macroeconomic Dynamics 2 (1): 1–21.Google Scholar
Arifovic, Jasmina, Bullard, James, and Duffy, John. 1997. “The Transition from Stagnation to Growth: An Adaptive Learning Approach.” Journal of Economic Growth 2 (2): 185–209.Google Scholar
Arifovic, Jasmina, and Maschek, Michael K.. 2006. “Currency Crisis : Evolution of Beliefs , Experiments with Human Subjects and Real World Data.” Working Paper.Google Scholar
Arnason, Ragnar, Baldursson, Fridrik M., and Sturluson, Jon Thor. 2006. “Experiments in Natural Resource Economics.” Journal of Economic Behavior & Organization 61 (2): 145–148.Google Scholar
Arrow, Kenneth J. 1948. “Mathematical Models in the Social Sciences.” In Advances in Experimental Psychology, edited by Lerner, D. and Lasswell, H. D.. Stanford, CA: Stanford University Press.Google Scholar
Aytaç, Selim Erdem. 2018. “Relative Economic Performance and the Incumbent Vote: A Reference Point Theory.” The Journal of Politics 80 (1): 16–29.Google Scholar
Bamber, Donald, and van Santen, Jan P. H.. 1985. “How Many Parameters Can a Model Have and Still Be Testable.” Journal of Mathematical Psychology 29 (4): 443–473.CrossRefGoogle Scholar
Bamber, Donald, and van Santen, Jan P. H.. 2000. “How to Assess a Model’s Testability and Identifiability.” Journal of Mathematical Psychology 44 (1): 20–40.Google Scholar
Bapat, Navin A., and Kwon, Bo Ram. 2015. “When Are Sanctions Effective? A Bargaining and Enforcement Framework.” International Organization 69 (1): 131–162.Google Scholar
Bargsted, Matias A., and Kedar, Orit. 2009. “Coalition-Targeted Duvergerian Voting: How Expectations Affect Voter Choice under Proportional Representation.” American Journal of Political Science 53 (2): 307–323.Google Scholar
Barnett, William A. 1980. “Economic Monetary Aggregates an Application of Index Number and Aggregation Theory.” Journal of Econometrics 14 (1): 11–48.Google Scholar
Barnett, William A. 1982. “The Optimal Level of Monetary Aggregation.” Journal of Money, Credit and Banking 14 (4): 687–710.Google Scholar
Barnett, William A. 1984. “Recent Monetary Policy and the Divisia Monetary Aggregates.” The American Statistician 38 (3): 165–172.Google Scholar
Barnett, William A. 1987. “The Microeconomic Theory of Monetary Aggregation.” In New Approaches to Monetary Economics, edited by Barnett, William A. and Singleton, Kenneth J., 115–168. New York: Cambridge University Press.Google Scholar
Barnett, William A., Offenbacher, Edward K., and Spindt, Paul A.. 1984. “The New Divisia Monetary Aggregates.” Journal of Political Economy 92 (6): 1049–1085.Google Scholar
Barro, Robert J., and Sala-i-Martin, Xavier. 1992. “Convergence.” Journal of Political Economy 100 (2): 223–251.Google Scholar
Bartels, Larry M., and Brady, Henry E.. 1993. “The State of Quantitative Political Methodology.” In Political Science: The State of the Discipline II, edited by Finifter, A. W., 121–159. Washington, DC: American Political Science Association.Google Scholar
Bas, Muhammet A., Signorino, Curtis S., and Walker, Robert W.. 2008. “Statistical Backwards Induction: A Simple Method for Estimating Recursive Strategic Models.” Political Analysis 16 (December): 21–40.Google Scholar
Basak, Gopal K., Ghosh, Mrinal K., and Mukherjee, Diganta. 2019. “A Stochastic Model with Inflation, Growth and Technology for the Political Business Cycle.” Computational Economics 53 (1): 125–140.Google Scholar
Bendor, Jonathan, Diermeier, Daniel, and Ting, Michael. 2003. “A Behavioral Model of Turnout.” American Political Science Review 97 (2): 261–280.Google Scholar
Bernanke, Ben S., and Woodford, Michael. 1997. “Inflation Forecasts and Monetary Policy.” Journal of Money, Credit and Banking 29 (4): 653–684.Google Scholar
Bernanke, Ben S., Laubach, Thomas, Mishkin, Frederic S., and Posen, Adam S.. 2001. Inflation Targeting: Lessons from the International Experience. Princeton, NJ: Princeton University Press.Google Scholar
Black, Duncan. 1948. “On the Rationale of Group Decision-Making.” Journal of Political Economy 56 (1): 23–34.Google Scholar
Black, Duncan. 1958. The Theory of Committees and Elections. Cambridge: Cambridge University Press.Google Scholar
Blais, André. 2000. To Vote or Not to Vote: The Merits and Limits of Rational Choice Theory. Pittsburgh: University of Pittsburgh Press.Google Scholar
Blais, André. 2006. “What Affects Voter Turnout?” Annual Review of Political Science 9: 111–125.Google Scholar
Blalock, Hubert M. 1967. “Status Inconsistency, Social Mobility, Status Integration and Structural Effects.” American Sociological Review 32 (5): 790–801.Google Scholar
Blau, Peter M. 1960. “Structural Effects.” American Sociological Review 25 (2): 178–193.Google Scholar
Blau, Peter M. 1964. Exchange and Power in Social Life. New Brunswick: Transaction Publishers.Google Scholar
Blomberg, S. Brock, and Hess, Gregory D.. 2003. “Is the Political Business Cycle for Real?” Journal of Public Economics 87 (5): 1091–1121.Google Scholar
Blonigen, Bruce, and Wang, Miao. 2005. “Inappropriate Pooling of Wealthy and Poor Countries in Empirical FDI Studies.” In Does Foreign Direct Investment Promote Development?” Institute for International Economics, 221–244. Washington, DC: Peterson Institute.Google Scholar
Blydenburgh, John C. 1971. “The Closed Rule and the Paradox of Voting.” The Journal of Politics 33 (1): 57–71.Google Scholar
Bolton, Gary E., and Ockenfels, Axel. 2000. “ERC: A Theory of Equity, Reciprocity, and Competition.” The American Economic Review 90 (1): 166–193.Google Scholar
Boussard, Jean-Marc. 1971. “A Model of the Behavior of Farmers and Its Application to Agricultural Policies.” European Economic Review 2 (4): 436–461.Google Scholar
Bowles, Samuel. 2008. “Policies Designed for Self-Interested Citizens May Undermine ‘The Moral Sentiments’: Evidence from Economic Experiments.” Science 320 (5883): 1605–1609.Google Scholar
Box, George E. P., and Jenkins, Gwilym M.. 1970. Time Series Analysis: Forecasting and Control. San Francisco: Holden-Day.Google Scholar
Box-Steffensmeier, Janet M., Brady, Henry E., and Collier, David. 2008. The Oxford Handbook of Political Methodology. Oxford University Press.Google Scholar
Boyd, Richard N. 1973. “Realism, Underdetermination, and a Causal Theory of Evidence.” Noûs 7 (1): 1–12.Google Scholar
Brady, Henry E. 2008. “Causation and Explanation in the Social Science.” In The Oxford Handbook of Political Methodology, edited by Box-Steffensmeier, J. M., Brady, H. E., and Collier, D.. New York: Oxford University Press.Google Scholar
Brady, Henry E., and Collier, David. 2004. Rethinking Social Inquiry: Diverse Tools, Shared Standards. Second edition. Lanham, MD: Rowman & Littlefield Publishers.Google Scholar
Branch, William A., and Evans, George W.. 2006. “A Simple Recursive Forecasting Model.” Economics Letters 91 (2): 158–166.Google Scholar
Brandt, Patrick T., and Freeman, John R.. 2009. “Modeling Macro-Political Dynamics.” Political Analysis 17 (2): 113–142.Google Scholar
Bray, Margaret M. 1982. “Learning, Estimation, and the Stability of Rational Expectations.” Journal of Economic Theory 26 (2): 318–339.Google Scholar
Bray, Margaret M., and Savin, Nathan E.. 1986. “Rational Expectations Equilibria, Learning, and Model Specification.” Econometrica 54 (5): 1129–1160.Google Scholar
Brians, Craig Leonard, and Grofman, Bernard. 1999. “When Registration Barriers Fall, Who Votes?: An Empirical Test of a Rational Choice Model.” Public Choice 99 (1): 161–176.Google Scholar
Brock, William A., and Hommes, Cars H.. 1997. “A Rational Route to Randomness.” Econometrica 65 (5): 1059–1160.Google Scholar
Bronowski, Jacob. 1978. The Common Sense of Science. Cambridge, MA: Harvard University Press.Google Scholar
Bullard, James, and Duffy, John. 1998a. “Learning and the Stability Of Cycles.” Macroeconomic Dynamics 2 (1): 22–48.Google Scholar
Bullard, James, and Duffy, John. 1998b. “A Model of Learning and Emulation With Artificial Adaptive Agents.” Journal of Economic Dynamics and Control 22 (2): 179–207.Google Scholar
Bullard, James, and Duffy, John. 1999. “Using Genetic Algorithms to Model the Evolution of Heterogeneous Beliefs.” Computational Economics 13 (1): 41–60.Google Scholar
Bullard, James, and Mitra, Kaushik. 2002. “Learning about Monetary Policy Rules.” Journal of Monetary Economics 49 (6): 1105–1129.Google Scholar
Bullard, James, and Mitra, Kaushik. 2007. “Determinacy, Learnability, and Monetary Policy Inertia.” Journal of Money, Credit and Banking 39 (5): 1177–1212.Google Scholar
Bush, Robert R., and Mosteller, Frederick. 1955. Stochastic Models for Learning. New York: John Wiley & Sons.CrossRefGoogle Scholar
Cagan, Phillip. 1956. “The Monetary Dynamics of Hyperinflation.” In Studies in the Quantity Theory of Money, edited by Milton, Friedman, 25–117. Chicago: University of Chicago Press.Google Scholar
Calvo, Ernesto, and Hellwig, Timothy. 2011. “Centripetal and Centrifugal Incentives under Different Electoral Systems.” American Journal of Political Science 55 (1): 27–41.Google Scholar
Camerer, Colin F. 2003. Behavioral Game Theory: Experiments in Strategic Interaction. First Edition edition. New York: Princeton, NJ: Princeton University Press.Google Scholar
Camerer, Colin F., and Fehr, Ernst. 2006. “When Does ‘Economic Man’ Dominate Social Behavior?” Science 311 (5757): 47–52.Google Scholar
Campbell, Angus, Converse, Philip E., Miller, Warren E., and Stokes, Donald E.. 1960. The American Voter. New York: John Wiley & Sons, Inc.Google Scholar
Campello, Daniela. 2018. “Retrospective Voting and Democratic Accountability.” In Routledge Handbook of Brazilian Politics, Ed. Ames, Barry. New York: Routledge.Google Scholar
Campello, Daniela, and Zucco, Cesar. 2015. “Presidential Success and the World Economy.” The Journal of Politics 78 (2): 589–602.Google Scholar
Carlson, John A. 1968. “An Invariably Stable Cobweb Model.”The Review of Economic Studies 35 (3): 360–362.Google Scholar
Carlson, John A., and Valev, Neven. 2001. “Credibility of a New Monetary Regime: The Currency Board in Bulgaria.” Journal of Monetary Economics 47 (June): 581–594.Google Scholar
Carson, Jamie L. 2003. “Strategic Interaction and Candidate Competition in U.S. House Elections: Empirical Applications of Probit and Strategic Probit Models.” Political Analysis 11 (4): 368–380.CrossRefGoogle Scholar
Carter, David B. 2010. “The Strategy of Territorial Conflict.” American Journal of Political Science 54 (4): 969–987.Google Scholar
Carter, David B., and Stone, Randall W.. 2015. “Democracy and Multilateralism: The Case of Vote Buying in the UN General Assembly.” International Organization 69 (1): 1–33.Google Scholar
Cass, David. 1965. “Optimum Growth in an Aggregative Model of Capital Accumulation.” Review of Economic Studies 32 (3): 233–240.Google Scholar
Chakravartty, Anjan. 2017. “Scientific Realism.” In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta, Summer 2017. Metaphysics Research Lab, Stanford University.Google Scholar
Chamley, Christophe P. 2004. Rational Herds: Economic Models of Social Learning. Cambridge: Cambridge University Press.Google Scholar
Chappell, Henry W., and Keech, William R.. 1983. “Welfare Consequences of the Six-Year Presidential Term Evaluated in the Context of a Model of the U.S. Economy.” American Political Science Review 77 (1): 75–91.Google Scholar
Chatterjee, Sankhadeep, Nag, Rhitaban, Dey, Nilanjan, and Ashour, Amira S.. 2017. “Efficient Economic Profit Maximization: Genetic Algorithm Based Approach.” In Smart Trends in Systems, Security and Sustainability, 307. London: Springer Proceedings Book.Google Scholar
Chaudoin, Stephen, and Woon, Jonathan. 2018. “How Hard to Fight? Cross-Player Effects and Strategic Sophistication in an Asymmetric Contest Experiment.” The Journal of Politics 80 (2): 585–600.Google Scholar
Chen, Shu-Heng, and Venkatachalam, Ragupathy. 2017. “Agent-Based Models and Their Development through the Lens of Networks.” In Economic Foundations for Social Complexity Science: Theory, Sentiments, and Empirical Laws, 89–106. Singapore: Springer.Google Scholar
Chen, Shu-Heng, and Yeh, Chia-Hsuan. 1997. “Modeling Speculators with Genetic Programming.” In Lecture Notes in Computer Science, 1213: 137–147. Berlin: Springer.Google Scholar
Cheung, Yin-Wong, and Lai, Kon S.. 1995. “Lag Order and Critical Values of the Augmented Dickey-Fuller Test.” Journal of Business & Economic Statistics 13 (3): 277–280.Google Scholar
Christ, Carl F. 1951. “A Test of an Econometric Model for the United States, 1921– 1947.” In Proceedings of the Conference on Business Cycles. New York: National Bureau of Economic Research.Google Scholar
Christ, Carl F. 1952. “Economic Theory and Measurement: A Twenty Year Research Report 1932– 1952.” Cowles Commission for Research in Economics. Baltimore, MD: The University of Chicago.Google Scholar
Christ, Carl F. 1994. “The Cowles Commission’s Contributions to Econometrics at Chicago, 1939– 1955.” Journal of Economic Literature 32 (1): 30–59.Google Scholar
Clarida, Richard, Gali, Jordi, and Gertler, Mark. 2000. “Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory.” The Quarterly Journal of Economics 115 (1): 147–180.Google Scholar
Clarke, Harold D., and Granato, Jim. 2004. “Time Series Analysis in Political Science.” In Encyclopedia of Social Measurement, edited by Kempf-Leonard, Kimberly, 829– 837. New York: Elsevier.Google Scholar
Clarke, Harold D., Sanders, David, Stewart, Marianne C., and Whiteley, Paul. 2004. Political Choice in Britain. Oxford University Press.Google Scholar
Clarke, Kevin A., and Primo, David M.. 2007. “Modernizing Political Science: A Model-Based Approach.” Perspectives on Politics 5 (4): 741–753.Google Scholar
Clarke, Kevin A., and Primo, David M.. 2012. A Model Discipline: Political Science and the Logic of Representations. New York: Oxford University Press.Google Scholar
Coase, Ronald H. 1994. “How Should Economists Choose.” In Essays on Economics and Economists, edited by Ronald H. Coase. Chicago: University of Chicago Press.Google Scholar
Cobb, Charles W., and Douglas, Paul H.. 1928. “A Theory of Production.” The American Economic Review 18 (1): 139–165.Google Scholar
Colucci, Domenico, and Valori, Vincenzo. 2011. “Adaptive Expectations and Cobweb Phenomena: Does Heterogeneity Matter?” Journal of Economic Dynamics and Control 35 (8): 1307–1321.Google Scholar
Converse, Philip E. 1964. “The Nature of Belief Systems in Mass Publics.” In Ideology and Discontent, edited by Apter, D. E., 206–261. New York: The Free Press of Glencoe.Google Scholar
Converse, Philip E. 1969. “Of Time and Partisan Stability.” Comparative Political Studies 2 (2): 139–171.Google Scholar
Converse, Philip E. 1970. “Attitudes and Non-Attitudes: Continuation of a Dialogue.” In The Quantitative Analysis of Social Problems, edited by Tufte, E. R.. Reading, MA: Addison-Wesley.Google Scholar
Converse, Philip E. 2000. “Assessing the Capacity of Mass Electorates.” Annual Review of Political Science 3 (January): 331–353.Google Scholar
Cooper, Gershon. 1948. “The Role of Econometric Models in Economic Research.” American Journal of Agricultural Economics 30 (1): 101–116.Google Scholar
Cox, Gary W. 1984. “Strategic Electoral Choice in Multi-Member Districts: Approval Voting in Practice?” American Journal of Political Science 28 (4): 722–738.Google Scholar
Cox, Gary W. 1997. Making Votes Count: Strategic Coordination in the World’s Electoral Systems. Cambridge: Cambridge University Press.Google Scholar
Cox, Gary W. 2004. “Lies, Damned Lies, and Rational Choice Analyses.” In Problems and Methods in the Study of Politics, edited by Ian Shapiro, 167–185. Cambridge ; New York: Cambridge University Press.Google Scholar
Cox, James C., and Deck, Cary A.. 2005. “On the Nature of Reciprocal Motives.” Economic Inquiry 43 (3): 623–635.Google Scholar
Cox, James C., Friedman, Daniel, and Gjerstad, Steven. 2007. “A Tractable Model of Reciprocity and Fairness.” Games and Economic Behavior 59 (1): 17–45.Google Scholar
Crawford, Sue E. S., and Ostrom, Elinor. 1995. “A Grammar of Institutions.” The American Political Science Review 89 (3): 582–600.Google Scholar
Cyert, Richard M., and March, James G.. 1963. A Behavioral Theory of the Firm. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Deaton, Angus. 1985. “Panel Data from Time Series of Cross-Sections.” Journal of Econometrics 30 (1): 109–126.Google Scholar
Devenow, Andrea, and Welch, Ivo. 1996. “Rational Herding in Financial Economics.” European Economic Review, Papers and Proceedings of the Tenth Annual Congress of the European Economic Association, 40 (3): 603–615.Google Scholar
Devitt, Michael. 2008. “Realism/Anti-Realism.” In The Routledge Companion to Philosophy of Science, edited by Stathis Psillos and Martin Curd, 224–235. London: Routledge.Google Scholar
Dickey, David A., and Fuller, Wayne A.. 1979. “Distribution of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association 74 (366): 427–431.Google Scholar
Diewert, Walter E. 1976. “Exact and Superlative Index Numbers.” Journal of Econometrics 4 (2): 115–145.Google Scholar
Drazen, Allan. 2000a. Political Economy in Macroeconomics. Princeton, NJ: Princeton University Press.Google Scholar
Drazen, Allan. 2000b. “Interest-Rate and Borrowing Defense against Speculative Attack.” Carnegie-Rochester Conference Series on Public Policy 53 (1): 303–348.Google Scholar
Druckman, James N., Green, Donald P., Kuklinski, James H., and Lupia, Arthur, eds. 2011. Cambridge Handbook of Experimental Political Science. Cambridge: Cambridge University Press.Google Scholar
Duch, Raymond M., and Stevenson, Randolph T.. 2008. The Economic Vote: How Political and Economic Institutions Condition Election Results. New York: Cambridge University Press.Google Scholar
Duch, Raymond M., and Stevenson, Randy. 2010. “The Global Economy, Competency, and the Economic Vote.” The Journal of Politics 72 (1): 105–123.Google Scholar
Duhem, Pierre Maurice Marie. 1954. The Aim and Structure of Physical Theory. Princeton, NJ: Princeton University Press.Google Scholar
Duo, Qin. 1993. The Formation of Econometrics: A Historical Perspective. New York: Oxford University Press.Google Scholar
Eichengreen, Barry, Rose, Andrew, and Wyplosz, Charles. 1996. “Contagious Currency Crises: First Tests.” The Scandinavian Journal of Economics 98 (4): 463–484.Google Scholar
Elliott, Graham, Rothenberg, Thomas J., and Stock, James H.. 1996. “Efficient Tests for an Autoregressive Unit Root.” Econometrica 64 (4): 813–836.Google Scholar
Engle, Robert F., and Granger, Clive W. J.. 1987. “Co-Integration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55 (2): 251–276.Google Scholar
Engle, Robert F., Hendry, David F., and Richard, Jean-Francois. 1983. “Exogeneity.” Econometrica 51 (2): 277–304.Google Scholar
Erikson, Robert S., MacKuen, Michael B., and Stimson, James A.. 2002. The Macro Polity. Cambridge: Cambridge University Press.Google Scholar
Evans, George W. 1985. “Expectational Stability and the Multiple Equilibria Problem in Linear Rational Expectations Models.” The Quarterly Journal of Economics 100 (4): 1217–1233.Google Scholar
Evans, George W. 1989. “The Fragility of Sunspots and Bubbles.” Journal of Monetary Economics 23 (2): 297–317.Google Scholar
Evans, George W., and Honkapohja, Seppo. 1992. “On the Robustness of Bubbles in Linear RE Models.” International Economic Review 33 (1): 1–14.Google Scholar
Evans, George W., and Honkapohja, Seppo. 1995. “Adaptive Learning and Expectational Stability: An Introduction.” In Learning and Rationality in Economics, edited by Kirman, A. and Salmon, M.. Oxford: Blackwell Pub.Google Scholar
Evans, George W., and Honkapohja, Seppo. 1996. “Least Squares Learning with Heterogeneous Expectations.”Economics Letters 53 (2): 197–201.Google Scholar
Evans, George W., and Honkapohja, Seppo. 2001. Learning and Expectations in Macroeconomics. Princeton, NJ: Princeton University Press.Google Scholar
Evans, George W., and Honkapohja, Seppo. 2003a. “Adaptive Learning and Monetary Policy Design.” Journal of Money, Credit and Banking 35 (6): 1045–1072.Google Scholar
Evans, George W., and Honkapohja, Seppo. 2003b. “Expectations and the Stability Problem for Optimal Monetary Policies.” The Review of Economic Studies 70 (4): 807–824.Google Scholar
Evans, George W., and McGough, Bruce. 2018. “Interest-Rate Pegs in New Keynesian Models.” Journal of Money, Credit and Banking 50 (5): 939–965.CrossRefGoogle Scholar
Ezekiel, Mordecai. 1938. “The Cobweb Theorem.” The Quarterly Journal of Economics 52 (2): 255–280.Google Scholar
Farmer, J. Doyne, and Foley, Duncan. 2009. “The Economy Needs Agent-Based Modeling.” Nature 460 (August): 685–686.Google Scholar
Fehr, Ernst, Fischbacher, Usr, and Kosfeld, Michael. 2005. “Neuroeconomic Foundations of Trust and Social Preferences: Initial Evidence.” The American Economic Review 95 (2): 346–351.Google Scholar
Fehr, Ernst, and Schmidt, Klaus M.. 1999. “A Theory of Fairness, Competition, and Cooperation.” The Quarterly Journal of Economics 114 (3): 817–868.Google Scholar
Femenia, Fabienne, and Gohin, Alexandre. 2011. “Dynamic Modelling of Agricultural Policies: The Role of Expectation Schemes.” Economic Modelling 28 (4): 1950–1958.Google Scholar
Fiorina, Morris P. 1978. “Economic Retrospective Voting in American National Elections: A Micro-Analysis.” American Journal of Political Science 22 (2): 426–443.Google Scholar
Fiorina, Morris P. 1981. Retrospective Voting in American National Elections. New Haven, CT: Yale University Press.Google Scholar
Fiorina, Morris P. 1990. “Information and Rationality in Elections.” In Information and Democratic Processes, edited by Ferejohn, John A., James H Kuklinski, 329–342. Chicago: University of Illinois Press.Google Scholar
Fisher, Franklin M. 1966. The Identification Problem in Econometrics. New York: McGraw-Hill.Google Scholar
Fisher, Ronald A. 1922. “The Goodness of Fit of Regression Formulae, and the Distribution of Regression Coefficients.” Journal of the Royal Statistical Society 85 (4): 597–612.Google Scholar
Forsythe, Robert, Nelson, Forrest, Neumann, George R., and Wright, Jack. 1992. “Anatomy of an Experimental Political Stock Market.” The American Economic Review 82 (5): 1142–1161.Google Scholar
Fowler, James H. 2006. “Habitual Voting and Behavioral Turnout.” Journal of Politics 68 (2): 335–344.Google Scholar
Fox, Justin, and Shotts, Kenneth W.. 2009. “Delegates or Trustees? A Theory of Political Accountability.” The Journal of Politics 71 (4): 1225–1237.Google Scholar
Franklin, Charles H., and Jackson, John E.. 1983. “The Dynamics of Party Identification.” The American Political Science Review 77 (4): 957–973.Google Scholar
Freedman, David, Pisani, Robert, and Purves, Roger. 1998. Statistics. New York: W.W. Norton & Company.Google Scholar
Freeman, John R. 1983. “Granger Causality and the Times Series Analysis of Political Relationships.” American Journal of Political Science 27 (2): 327–358.Google Scholar
Freeman, John R., and Houser, Daniel. 1998. “A Computable Equilibrium Model for the Study of Political Economy.” American Journal of Political Science 42 (2): 628–660.Google Scholar
Freeman, John R., Lin, Tse-Min, and Williams, John T.. 1989. “Vector Autoregression and the Study of Politics.” American Journal of Political Science 33 (4): 842–877.Google Scholar
Friedman, Milton. 1953. Essays in Positive Economics. Chicago: University of Chicago Press.Google Scholar
Friedman, Milton. 1957a. A Theory of the Consumption Function. Princeton, NJ: Princeton University Press.Google Scholar
Friedman, Milton. 1957b. “The Permanent Income Hypothesis.” NBER Chapters. National Bureau of Economic Research, Inc.Google Scholar
Friedman, Milton, and Schwartz, Anna J.. 1963. A Monetary History of the United States, 1867–1960. Princeton, NJ: Princeton University Press.Google Scholar
Friedman, Milton, and Schwartz, Anna J.. 1991. “Alternative Approaches Analyzing Economic Data.” American Economic Review 81 (February): 39–49.Google Scholar
Fuller, Wayne A. 1976. Introduction to Statistical Time Series. New York: Wiley-Interscience.Google Scholar
Gabaix, Xavier, and Laibson, David. 2008. “The Seven Properties of Good Models.” In The Foundations of Positive and Normative Economics: A Handbook, edited by Caplin, A. and Schotter, A.. New York: Oxford University Press.Google Scholar
Gatti, Domenico Delli, Desiderio, Saul, Gaffeo, Edoardo, Cirillo, Pasquale, and Gallegati, Mauro. 2011. Macroeconomics from the Bottom-Up. Milan: Springer Science & Business Media.Google Scholar
Gawrońska-Nowak, Bogna, and Grabowski, Wojciech. 2016. “Using Genetic Algorithm in Dynamic Model of Speculative Attack.” Equilibrium. Quarterly Journal of Economics and Economic Policy 11 (2): 287–306.Google Scholar
Geisendorf, Sylvie. 2011. “Internal Selection and Market Selection in Economic Genetic Algorithms.” Journal of Evolutionary Economics 21 (5): 817–841.Google Scholar
Gerber, Elizabeth. 2003. “What Is Political Economy?” The Political Economist 11: 1–4.Google Scholar
Geys, Benny. 2006. “‘Rational’ Theories of Voter Turnout: A Review.” Political Studies Review 4 (1): 16–35.Google Scholar
Goldberg, David E. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning. Boston: Addison Wesley.Google Scholar
Gosnell, Harold F. 1926. “An Experiment in the Stimulation of Voting.” The American Political Science Review 20 (4): 869–874.Google Scholar
Gow, David J. 1985. “Quantification and Statistics in the Early Years of American Political Science, 1880–1922.” Political Methodology 11 (1/2): 1–18.Google Scholar
Grafstein, Robert. 2002. “The Political Economy of Postmaterialism: Material Explanations of Changing Values.” Economics & Politics 14 (2): 163–190.Google Scholar
Granato, Jim. 2005. “Scientific Progress in Quantitative Political Economy.” The Political Economist 12 (4): 11–13.Google Scholar
Granato, Jim, Guse, Eran A., and Sunny Wong, M. C.. 2008. “Learning from the Expectations of Others.” Macroeconomic Dynamics 12 (3): 345–377.Google Scholar
Granato, Jim, Huang, Cong, Wan, Kwok Wai, Wang, Ching-Hsing, and Sunny Wong, M. C.. 2015. “EITM: An Assessment with an Application to Economic Voting.” Electoral Studies 40 (December): 372–393.Google Scholar
Granato, Jim, and Krause, George A.. 2000. “Information Diffusion within the Electorate: The Asymmetric Transmission of Political–Economic Information.” Electoral Studies 19 (4): 519–537.Google Scholar
Granato, Jim, Lo, Melody, and Sunny Wong, M. C.. 2010a. “A Framework for Unifying Formal and Empirical Analysis.” American Journal of Political Science 54 (3): 783–797.Google Scholar
Granato, Jim, Lo, Melody, and Sunny Wong, M. C.. 2010b. “The Empirical Implications of Theoretical Models (EITM): A Framework for Methodological Unification.” Politica y Gobierno 17 (1): 25–57.Google Scholar
Granato, Jim, Lo, Melody, and Sunny Wong, M. C.. 2011. “Modeling and Testing the Diffusion of Expectations: An EITM Approach.” Electoral Studies, Special Symposium on the Politics of Economic Crisis 30 (3): 389–398.Google Scholar
Granato, Jim, and Scioli, Frank. 2004. “Puzzles, Proverbs, and Omega Matrices: The Scientific and Social Significance of Empirical Implications of Theoretical Models (EITM).” Perspectives on Politics 2 (2): 313–323.Google Scholar
Granato, Jim, and Sunny Wong, M. C.. 2004. “Political Campaign Advertising Dynamics.” Political Research Quarterly 57 (September): 349–361.Google Scholar
Granato, Jim, and Sunny Wong, M. C.. 2006. The Role of Policymakers in Business Cycle Fluctuations. New York: Cambridge University Press.Google Scholar
Granger, Clive W. J. 1969. “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37 (3): 424–438.Google Scholar
Green, H. A. John, . 1964. Aggregation in Economic Analysis. Princeton, NJ: Princeton University Press.Google Scholar
Grier, Kevin, and Lin, Shu. 2010. “Do High Interest Rates Deter Speculative Attacks? – Evidence and Some Theory.” Journal of International Money and Finance 29 (5): 938–950.Google Scholar
Guala, Francesco. 2005. The Methodology of Experimental Economics. New York: Cambridge University Press.Google Scholar
Guse, Eran A. 2005. “Stability Properties for Learning with Heterogeneous Expectations and Multiple Equilibria.” Journal of Economic Dynamics and Control 29 (10): 1623–1642.Google Scholar
Guse, Eran A. 2010. “Heterogeneous Expectations, Adaptive Learning, and Evolutionary Dynamics.” Journal of Economic Behavior & Organization 74 (1): 42–57.Google Scholar
Guse, Eran A. 2014. “Adaptive Learning, Endogenous Uncertainty, and Asymmetric Dynamics.” Journal of Economic Dynamics and Control 40 (March): 355–373.Google Scholar
Haavelmo, Trygve. 1943. “The Statistical Implications of a System of Simultaneous Equations.” Econometrica 11 (1): 1–12.Google Scholar
Haavelmo, Trygve. 1944. “The Probability Approach in Econometrics.” Econometrica 12: 3–115.Google Scholar
Hamilton, James D. 1994. Time Series Analysis. 1st edition. Princeton, NJ: Princeton University Press.Google Scholar
Hardin, Russell. 1982. Collective Action. First Edition. Baltimore: Johns Hopkins University Press.Google Scholar
Hausman, Daniel M. 1998. “Problems with Realism in Economics.” Economics & Philosophy 14 (2): 185–213. https://doi.org/10.1017/S0266267100003837.Google Scholar
Hausman, Jerry. 2001. “Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left.” The Journal of Economic Perspectives 15 (4): 57–67.Google Scholar
Heckman, James J. 2000. “Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective.” The Quarterly Journal of Economics 115 (1): 45–97.Google Scholar
Heinemann, Maik. 2000. “Adaptive Learning of Rational Expectations Using Neural Networks.” Journal of Economic Dynamics and Control 24 (5): 1007–1026.Google Scholar
Helmke, Gretchen. 2010. “The Origins of Institutional Crises in Latin America.” American Journal of Political Science 54 (3): 737–750.Google Scholar
Hibbs, Douglas A. 1977. “Political Parties and Macroeconomic Policy.” American Political Science Review 71 (4): 1467–1487.Google Scholar
Highton, Benjamin. 2004. “Voter Registration and Turnout in the United States.” Perspectives on Politics 2 (3): 507–515.Google Scholar
Hildreth, Clifford. 1986. The Cowles Commission in Chicago, 1939–1955. Lecture Notes in Economics and Mathematical Systems. Berlin; Heidelberg: Springer-Verlag.Google Scholar
Hinich, Melvin J. 1981. “Voting as an Act of Contribution.” Public Choice 36 (1): 135–140.Google Scholar
Hodrick, Robert, and Prescott, Edward C.. 1981. “Postwar U.S. Business Cycles: An Empirical Investigation.” Working Paper, Northwestern University.Google Scholar
Hodrick, Robert, and Prescott, Edward C.. 1997. “Postwar U.S. Business Cycles: An Empirical Investigation.” Journal of Money, Credit and Banking 29 (1): 1–16.Google Scholar
Holland, John H. 1970. “Robust Algorithms for Adaptation Set in a General Formal Framework.” In 1970 IEEE Symposium on Adaptive Processes (9th) Decision and Control, 175.Google Scholar
Holland, John H. 1975. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Ann Arbor, MI: University of Michigan Press.Google Scholar
Holt, Charles, and Villamil, Anne. 1986. “A Laboratory Experiment with a Single-Person Cobweb.” Atlantic Economic Journal 14 (July): 51–54.Google Scholar
Hommes, Cars, Sonnemans, Joep, Tuinstra, Jan, and van de Velden, Henk. 2007. “Learning in Cobweb Experiments.” Macroeconomic Dynamics 11 (November): 8–33.Google Scholar
Hood, William C., and Koopmans, Tjalling C.. 1953. “Studies in Econometric Method.” In Cowles Commission Monograph No. 14. New York: John Wiley and Sons.Google Scholar
Hoover, Kevin D. 2001a. Causality in Macroeconomics. New York: Cambridge University Press.Google Scholar
Hoover, Kevin D. 2001b. The Methodology of Empirical Macroeconomics. New York: Cambridge University Press.Google Scholar
Hotelling, Harold. 1929. “Stability in Competition.” The Economic Journal 39 (153): 41–57.Google Scholar
Houser, Daniel, and Freeman, John. 2001. “Economic Consequences of Political Approval Management in Comparative Perspective.” Journal of Comparative Economics 29 (4): 692–721.Google Scholar
Huckfeldt, Robert, and Sprague, John. 1985. Presidential Election Campaign Study, 1984. South Bend, IN: Indiana University, Center for Survey Research.Google Scholar
Jasso, Guillermina. 1999. “How Much Injustice Is There in the World? Two New Justice Indexes.” American Sociological Review 64 (1): 133–168.Google Scholar
Jasso, Guillermina. 2002. “Formal Theory.” In Handbook of Sociological Theory, edited by Turner, Jonathan H., 37–68. New York: Springer Science & Business Media.Google Scholar
Jasso, Guillermina. 2004. “The Tripartite Structure of Social Science Analysis.” Sociological Theory 22 (3): 401–431.Google Scholar
Jasso, Guillermina. 2008. “A New Unified Theory of Sociobehavioral Forces.” European Sociological Review 24 (4): 411–434.Google Scholar
Jasso, Guillermina. 2010. “Linking Individuals and SocietiesJournal of Mathematical Sociology.” Journal of Mathematical Sociology 34 (1): 1–158.Google Scholar
Johansen, Søren. 1988. “Statistical Analysis of Cointegration Vectors.” Journal of Economic Dynamics and Control 12 (2): 231–254.Google Scholar
Johansen, Søren. 1992. “Determination of Cointegration Rank in the Presence of a Linear Trend.” Oxford Bulletin of Economics and Statistics 54 (February): 383–397.Google Scholar
Johansen, Søren. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. New York: Oxford University Press.Google Scholar
Johansen, Søren, and Juselius, Katarina. 1990. “Maximum Likelihood Estimation and Inference on Cointegration–with Applications to the Demand for Money.” Oxford Bulletin of Economics and Statistics 52 (May): 169–210.Google Scholar
Johnston, Jack, and DiNardo, John. 1997. Econometric Methods. New York: McGraw Hill Higher Education.Google Scholar
Kagel, John H., and Roth, Alvin E.. 1995. The Handbook of Experimental Economics. Princeton, NJ: Princeton University Press.Google Scholar
Kagel, John H., and Roth, Alvin E.. 2015. The Handbook of Experimental Economics, Volume 2. Princeton, NJ: Princeton University Press.Google Scholar
Kaldor, Nicholas. 1934. “A Classificatory Note on the Determinateness of Equilibrium.” The Review of Economic Studies 1 (2): 122–136.Google Scholar
Kandel, Eugene, and Zilberfarb, Ben-Zion. 1999. “Differential Interpretation of Information in Inflation Forecasts.” The Review of Economics and Statistics 81 (2): 217–226.Google Scholar
Kedar, Orit. 2005. “When Moderate Voters Prefer Extreme Parties: Policy Balancing in Parliamentary Elections.” The American Political Science Review 99 (2): 185–199.Google Scholar
Keister, Todd. 2009. “Expectations and Contagion in Self-Fulfilling Currency Attacks.” International Economic Review 50 (3): 991–1012.Google Scholar
Kellstedt, Paul M., and Whitten, Guy D.. 2009. The Fundamentals of Political Science Research. New York: Cambridge University Press.Google Scholar
Kenkel, Brenton, and Signorino, Curtis S.. 2014. “Estimating Extensive Form Games in R.” Journal of Statistical Software 56 (8): 1–27.CrossRefGoogle Scholar
Key, Valdimer O., Jr. 1966. The Responsible Electorate: Rationality in Presidential Voting, 1936–1960. Cambridge, MA: Belknap Press.Google Scholar
Keynes, John M. 1940. “On a Method of Statistical Business-Cycle Research. A Comment.” The Economic Journal 50 (197): 154–156.Google Scholar
Kiewiet, D. Roderick, and Rivers, Douglas. 1984. “A Retrospective on Retrospective Voting.” Political Behavior 6 (4): 369–393.Google Scholar
Kinder, Donald R., and Roderick Kiewiet, D.. 1979. “Economic Discontent and Political Behavior: The Role of Personal Grievances and Collective Economic Judgments in Congressional Voting.” American Journal of Political Science 23 (3): 495–527.Google Scholar
Kinder, Donald R., and Roderick Kiewiet, D.. 1981. “Sociotropic Politics: The American Case.” British Journal of Political Science 11 (2): 129–161.Google Scholar
Kitcher, Philip. 2001. “Real Realism: The Galilean Strategy.” The Philosophical Review 110 (2): 151–197.Google Scholar
Kittel, Bernhard, Luhan, Wolfgang J., and Morton, Rebecca B.. 2012. Experimental Political Science: Principles and Practices. Basingstoke: Palgrave Macmillan.Google Scholar
Kleijnen, Jack P. C. 1995a. “Verification and Validation of Simulation Models.” European Journal of Operational Research 82 (1): 145–162.Google Scholar
Kleijnen, Jack P. C. 1995b. “Statistical Validation of Simulation Models.” European Journal of Operational Research 87 (1): 21–34.Google Scholar
Klein, Lawrence R. 1947. “The Use of Econometric Models as a Guide to Economic Policy.” Econometrica 15 (2): 111–151.Google Scholar
Koopmans, Tjalling C. 1945. “Statistical Estimation of Simultaneous Economic Relations.” Journal of the American Statistical Association 40 (232): 448–466.Google Scholar
Koopmans, Tjalling C. 1949a. “Identification Problems in Economic Model Construction.” Econometrica 17 (2): 125–44.Google Scholar
Koopmans, Tjalling C. 1949b. “Koopmans on the Choice of Variables to Be Studies and the Methods of Measurement: A Reply.” The Review of Economics and Statistics 31 (2): 86–91.Google Scholar
Koopmans, Tjalling C. 1950. Statistical Inference in Dynamic Economic Models. New York: Wiley.Google Scholar
Koopmans, Tjalling C. 1965. “On the Concept of Optimal Economic Growth.” In The Econometric Approach to Development Planning, 225–287. Chicago: Rand McNally College Pub. Co.Google Scholar
Koopmans, Tjalling C., and Reiersol, Olav. 1950. “The Identification of Structural Characteristics.” The Annals of Mathematical Statistics 21 (2): 165–181.Google Scholar
Kramer, Gerald H. 1983. “The Ecological Fallacy Revisited: Aggregate-versus Individual-Level Findings on Economics and Elections, and Sociotropic Voting.” The American Political Science Review 77 (1): 92–111.Google Scholar
Kremer, Jana, Lombardo, Giovanni, von Thadden, Leopold, and Werner, Thomas. 2006. “Dynamic Stochastic General Equilibrium Models as a Tool for Policy Analysis.” CESifo Economic Studies 52 (4): 640–665.Google Scholar
Krugman, Paul. 1979. “A Model of Balance-of-Payments Crises.” Journal of Money, Credit and Banking 11 (3): 311–325.Google Scholar
Krugman, Paul. 1994. “The Rise and Fall of Development Economics.” In Rethinking The Development Experience: Essays Provoked by the Work of Albert O. Hirschman, edited by L. Rodwin and D. A. Schön. Washington, DC: The Brookings Institution and Cambridge: The Lincoln Institute of Land Policy.Google Scholar
Krugman, Paul. 1998. “Two Cheers for Formalism.” The Economic Journal 108 (451): 1829–1836.Google Scholar
Kuhn, Thomas S. 1979. The Essential Tension: Selected Studies in Scientific Tradition and Change. Chicago: University of Chicago Press.Google Scholar
Kyburg, Henry E. 1988. “The Justification of Deduction in Science.” In The Limitations of Deductivism, edited by Grünbaum, Adolf and Salmon, Wesley C., 61–94. Berkeley, CA: University of California Press.Google Scholar
Kydland, Finn E., and Prescott, Edward C.. 1982. “Time to Build and Aggregate Fluctuations.” Econometrica 50 (6): 1345–1370.Google Scholar
Kydland, Finn E., and Prescott, Edward C.. 1990. “Business Cycles: Real Facts and a Monetary Myth.” Quarterly Review, no. Spring: 3–18.Google Scholar
Kydland, Finn E., and Prescott, Edward C.. 1996. “The Computational Experiment: An Econometric Tool.” Journal of Economic Perspectives 10 (February): 69–85.Google Scholar
Ladyman, James, and Ross, Don, with Spurrett, David and Collier, John. 2007. Every Thing Must Go: Metaphysics Naturalized. New York: Clarendon Press.Google Scholar
Lakatos, Imre. 1970. “Falsification and the Methodology of Scientific Research Programme.” In Criticism and the Growth of Knowledge, edited by Imre Lakatos and Alan Musgrave, 1:91–196. Cambridge: Cambridge University Press.Google Scholar
Landreth, Harry, and Colander, David C.. 2002. History of Economic Thought. Boston: Houghton Mifflin.Google Scholar
Laver, Michael, and Sergenti, Ernest. 2012. Party Competition: An Agent-Based Model. Princeton, NJ: Princeton University Press.Google Scholar
Lazarsfeld, Paul F., Berelson, Bernard, and Gaudet, Hazel. 1944. The People’s Choice: How the Voter Makes Up His Mind in a Presidential Campaign. New York: Columbia University Press.Google Scholar
Leamer, Edward E. 1983. “Let’s Take the Con Out of Econometrics.” The American Economic Review 73 (1): 31–43.Google Scholar
Leamer, Edward E. 2010. “Tantalus on the Road to Asymptopia.” Journal of Economic Perspectives 24 (2): 31–46.Google Scholar
LeBaron, Blake, and Tesfatsion, Leigh. 2008. “Modeling Macroeconomies As Open-Ended Dynamic Systems of Interacting Agents.” The American Economic Review 98 (2): 246–250.Google Scholar
Leblang, David. 2003. “To Devalue or to Defend? The Political Economy of Exchange Rate Policy.” International Studies Quarterly 47 (4): 533–559.Google Scholar
Levine, David K., and Palfrey, Thomas R.. 2007. “The Paradox of Voter Participation? A Laboratory Study.” The American Political Science Review 101 (1): 143–158.Google Scholar
Lewis, Jeffrey B., and Schultz, Kenneth A.. 2003. “Revealing Preferences: Empirical Estimation of a Crisis Bargaining Game with Incomplete Information.” Political Analysis 11 (4): 345–367.Google Scholar
Lewis-Beck, Michael S. 2008. “Forty Years of Publishing in Quantitative Methodology.” The Oxford Handbook of Political Methodology, August.Google Scholar
Lijphart, Arend. 1984. Democracies: Patterns of Majoritarian and Consensus Government in Twenty-One Countries. New Haven, CT: Yale University Press.Google Scholar
Lin, Tse-Min. 1999. “The Historical Significance of Economic Voting, 1872–1996.” Social Science History 23 (4): 561–591.Google Scholar
List, John, Sadoff, Sally, and Wagner, Mathis. 2011. “So You Want to Run an Experiment, Now What? Some Simple Rules of Thumb for Optimal Experimental Design.” Experimental Economics 14 (4): 439–457.Google Scholar
Lopez, Maria C., Murphy, James J., Spraggon, John M., and Stranlund, John K.. 2009. “Comparing the Effectiveness of Regulation and Pro-Social Emotions to Enhance Cooperation: Experimental Evidence from Fishing Communities in Colombia.” Typescript. University of Massachusetts Amherst Dept. of Resource Economics.Google Scholar
Lovell, Michael C. 1983. “Data Mining.” Review of Economics and Statistics 65 (1): 1–12.Google Scholar
Lubik, Thomas A., and Matthes, Christian. 2016. “Indeterminacy and Learning: An Analysis of Monetary Policy in the Great Inflation.” Journal of Monetary Economics 82 (September): 85–106.Google Scholar
Lucas, Robert E. 1972. “Expectations and the Neutrality of Money.” Journal of Economic Theory 4 (2): 103–124.Google Scholar
Lucas, Robert E. 1973. “Some International Evidence on Output-Inflation Tradeoffs.” American Economic Review 63 (3): 326–334.Google Scholar
Lucas, Robert E. 1976. “Econometric Policy Evaluation: A Critique.” Carnegie-Rochester Conference Series on Public Policy 1 (January): 19–46.Google Scholar
Lucas, Robert E. 1988. “On the Mechanics of Economic Development.” Journal of Monetary Economics 22 (1): 3–42.Google Scholar
Lupia, Arthur, and McCubbins, Mathew D.. 1998. The Democratic Dilemma. Cambridge: Cambridge University Press.Google Scholar
MacKinnon, James. 1991. “Critical Values for Cointegration Tests.” In Long-Run Economic Relationships, edited by Engle, R. F. and Granger, C. W. J.. New York: Oxford University Press.Google Scholar
Mankiw, N. Gregory, Romer, David, and Weil, David N.. 1992. “A Contribution to the Empirics of Economic Growth.” The Quarterly Journal of Economics 107 (2): 407–437.Google Scholar
Manski, Charles F. 1995. Identification Problems in the Social Sciences. Cambridge, MA: Harvard University Press.Google Scholar
Manski, Charles F. 2001. “Daniel McFadden and the Econometric Analysis of Discrete Choice.” The Scandinavian Journal of Economics 103 (2): 217–229.Google Scholar
Marcet, Albert, and Sargent, Thomas J.. 1989a. “Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information.” Journal of Political Economy 97 (6): 1306–1322.Google Scholar
Marcet, Albert, and Sargent, Thomas J.. 1989b. “Convergence of Least Squares Learning Mechanisms in Self-Referential Linear Stochastic Models.” Journal of Economic Theory 48 (2): 337–368.Google Scholar
Marchi, Scott de. 2005. Computational and Mathematical Modeling in the Social Sciences. New York: Cambridge University Press.Google Scholar
Marschak, Jacob. 1947. “Economic Structure, Path, Policy, and Prediction.” The American Economic Review 37 (2): 81–84.Google Scholar
Marschak, Jacob. 1953. “Economic Measurements for Policy and Prediction.”In Studies in Econometric Method, edited by W. C. Hood and T. C. Koopmans, 293–322. Theory and Decision Library. New York: John Wiley and Sons.Google Scholar
Mayo-Smith, Richmond. 1890. “On Census Methods.” Political Science Quarterly 5 (2): 259–268.Google Scholar
McCabe, Kevin A., and Smith, Vernon L.. 2001. “Goodwill Accounting and the Process of Exchange.” In Bounded Rationality: The Adaptive Toolbox, edited by Gerd Gigerenzer and Reinhard Selten. Cambridge, MA: MIT Press.Google Scholar
McCall, John J. 1965. “The Economics of Information and Optimal Stopping Rules.” The Journal of Business 38 (3): 300–317.Google Scholar
McCallum, Bennett T. 1983. “On Non-Uniqueness in Rational Expectations Models: An Attempt at Perspective.” Journal of Monetary Economics 11 (2): 134–168.Google Scholar
McCallum, Bennett T. 1989. Monetary Economics: Theory and Policy. Facsimile edition. New York: Macmillan Pub Co.Google Scholar
McCallum, Bennett T. 2003. “Multiple-Solution Indeterminacies in Monetary Policy Analysis.” Journal of Monetary Economics 50 (5): 1153–1175.Google Scholar
McCallum, Bennett T., and Nelson, Edward. 1999. “An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis.” Journal of Money, Credit and Banking 31 (3): 296–316.Google Scholar
McDermott, Rose. 2002. “Experimental Methodology in Political Science.” Political Analysis 10 (4): 325–342.Google Scholar
McDermott, Rose. 2014. “Experimental Political Science.” In Laboratory Experiments in the Social Sciences, edited by Webster, Murray and Sell, Jane, 295–309. Amsterdam: Academic Press/Elsevier.Google Scholar
McFadden, Daniel L. 1973. “Conditional Logit Analysis of Qualitative Choice Behavior.” In Frontiers in Econometrics, edited by Zarembka, P. New York: Wiley.Google Scholar
McFadden, Daniel L. 1974. “The Measurement of Urban Travel Demand.” Journal of Public Economics 3 (4): 303–328.Google Scholar
McKelvey, Richard D., and Ordeshook, Peter C.. 1976. “Symmetric Spatial Games without Majority Rule Equilibria*.” American Political Science Review 70 (4): 1172–1184.Google Scholar
McKelvey, Richard D., and Palfrey, Thomas R.. 1995. “Quantal Response Equilibria for Normal Form Games.” Games and Economic Behavior 10 (1): 6–38.Google Scholar
McKelvey, Richard D., and Palfrey, Thomas R.. 1996. “A Statistical Theory of Equilibrium in Games*.” The Japanese Economic Review 47 (2): 186–209.Google Scholar
McKelvey, Richard D., and Palfrey, Thomas R.. 1998. “Quantal Response Equilibria for Extensive Form Games.” Experimental Economics 1 (1): 9–41.Google Scholar
McLean, Elena V., and Whang, Taehee. 2010. “Friends or Foes? Major Trading Partners and the Success of Economic Sanctions.” International Studies Quarterly 54 (2): 427–447.Google Scholar
Mebane, Walter R. 2000. “Coordination, Moderation, and Institutional Balancing in American Presidential and House Elections.” American Political Science Review 94 (1): 37–57.Google Scholar
Meredith, Marc. 2009. “Persistence in Political Participation.” Quarterly Journal of Political Science 4 (3): 187–209.Google Scholar
Merriam, Charles E. 1921. “The Present State of the Study of Politics.” The American Political Science Review 15 (2): 173–185.Google Scholar
Merriam, Charles E. 1923. “I. Recent Advances in Political Methods.” American Political Science Review 17 (2): 275–295.Google Scholar
Merriam, Charles E. 1924. “Round Table I. Psychology and Political Science.” American Political Science Review 18 (1): 122–125.Google Scholar
Merriam, Charles E., Crane, Robert T., Fairlie, John A., and King, Clyde L.. 1923. “III. Recommendations.” The American Political Science Review 17 (2): 311–312.Google Scholar
Merriam, Charles E., and Gosnell, Harold F.. 1924. Non-Voting: Causes and Methods of Control. Chicago: The University of Chicago Press.Google Scholar
Milani, Fabio. 2007. “Expectations, Learning and Macroeconomic Persistence.” Journal of Monetary Economics 54 (7): 2065–2082.Google Scholar
Milbrath, Lester W. 1965. Political Participation: How and Why Do People Get Involved in Politics? Chicago: Rand McNally College Pub. Co.Google Scholar
Miller, John H. 1986. “A Genetic Model of Adaptive Economic Behavior.” Working Paper. University of Michigan.Google Scholar
Miller, John H., and Page, Scott E.. 2007. Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton, NJ: Princeton University Press.Google Scholar
Minford, Patrick. 1992. Rational Expectations Macroeconomics: An Introductory Handbook. Subsequent edition. Oxford; Cambridge, MA: Blackwell Pub.Google Scholar
Mitchell, Wesley C. 1930. The Backward Art of Spending Money. New Brunswick, NJ: Transaction Publishers.Google Scholar
Mitchell, Wesley C. 1937. “Institutes for Research in the Social Sciences.” In The Backward Art of Spending. New York: McGraw-Hill Book Co.Google Scholar
Mitra, Sophie, and Boussard, Jean-Marc. 2012. “A Simple Model of Endogenous Agricultural Commodity Price Fluctuations with Storage.” Agricultural Economics 43 (1): 1–15.Google Scholar
Mizon, Grayham E. 1995. “Progressive Modelling of Macroeconomic Time Series: The LSE Methodology.” In Macroeconometrics: Developments, Tensions, and Prospects, edited by Hoover, K. D., 107–170. The Netherlands: Kluwer Publications.Google Scholar
Monton, Bradley, and Mohler, Chad. 2017. “Constructive Empiricism.” In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta, Summer 2017. Metaphysics Research Lab, Stanford University.Google Scholar
Morgan, Mary S. 1990. The History of Econometric Ideas. New York: Cambridge University Press.Google Scholar
Morgan, Stephen L., and Winship, Christopher. 2007. Counterfactuals and Causal Inference. New York: Cambridge University Press.Google Scholar
Morton, Rebecca B. 1991. “Groups in Rational Turnout Models.” American Journal of Political Science 35 (3): 758–776.Google Scholar
Morton, Rebecca B. 1999. Methods and Models: A Guide to the Empirical Analysis of Formal Models in Political Science. New York: Cambridge University Press.Google Scholar
Morton, Rebecca B., and Williams, Kenneth C.. 2010. Experimental Political Science and the Study of Causality: From Nature to the Lab. New York: Cambridge University Press.Google Scholar
Musgrave, Alan. 1988. “The Ultimate Argument for Scientific Realism.” In Relativism and Realism in Science, edited by Robert Nola, 229–252. Australasian Studies in History and Philosophy of Science. Dordrecht: Springer Netherlands.Google Scholar
Muth, John F. 1961. “Rational Expectations and the Theory of Price Movements.” Econometrica 29 (3): 315–335.Google Scholar
Myerson, Roger B. 1999. “Theoretical Comparisons of Electoral Systems.” European Economic Review 43 (4): 671–697.Google Scholar
Nakosteen, Robert A., and Zimmer, Michael. 1980. “Migration and Income: The Question of Self-Selection.” Southern Economic Journal 46 (3): 840–851.Google Scholar
Namatame, Akira, and Chen, Shu-Heng. 2016. Agent-Based Modeling and Network Dynamics. Oxford: Oxford University Press.Google Scholar
National Science Foundation. 2001. “Transcripts (7/9/01 & 7/10/01) of the Empirical Implications of Theoretical Models (EITM) Workshop.”Google Scholar
Foundation, National Science. 2002. “Empirical Implications of Theoretical Models.” Political Science Program, Directorate For Social, Behavioral and Economic Sciences.Google Scholar
Nelson, Phillip. 1970. “Information and Consumer Behavior.” Journal of Political Economy 78 (2): 311–329.Google Scholar
Nerlove, Marc. 1958. “Adaptive Expectations and Cobweb Phenomena.” The Quarterly Journal of Economics 72 (2): 227–240.Google Scholar
Niemi, Richard G., and Hammer, Michael J.. 2010. “Voter Turnout among College Students: New Data and a Rethinking of Traditional Theories.” Social Science Quarterly 91 (2): 301–323.Google Scholar
Oberschall, Anthony. 1980. “Loosely Structured Collective Conflict: A Theory and an Application.” In Research in Social Movements, Conflicts and Change, edited by Kriesberg, Louis, 45–68.Google Scholar
Obstfeld, Maurice. 1994. “The Logic of Currency Crises.” Cahiers Economiques et Monetaires 43 (October): 189–213.Google Scholar
Ogburn, William F., and Goltra, Inez. 1919. “How Women Vote.” Political Science Quarterly 34 (3): 413–433.Google Scholar
Ogburn, William F., and Peterson, Delvin. 1916. “Political Thought of Social Classes.” Political Science Quarterly 31 (2): 300–317.Google Scholar
Okasha, Samir. 2002. Philosophy of Science: A Very Short Introduction. Oxford: Oxford University Press.Google Scholar
Olson, Mancur. 1965. The Logic of Collective Action: Public Goods and the Theory of Groups. Cambridge, MA: Harvard University Press.Google Scholar
Osterwald-Lenum, Michael. 1992. “A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics.” Oxford Bulletin of Economics and Statistics 54: 461–472.Google Scholar
Ostrom, Elinor. 2009. “A General Framework for Analyzing Sustainability of Social-Ecological Systems.” Science 325 (5939): 419–422.Google Scholar
Ostrom, Elinor. 2010. “Revising Theory in Light of Experimental Findings.” Journal of Economic Behavior & Organization 73 (1): 68–72.Google Scholar
Ostrom, Elinor, and Walker, James. 1991. “Communication in a Commons: Cooperation without External Enforcement,” January.Google Scholar
Ostrom, Elinor, Walker, James, and Garden, Roy. 1992. “Covenants with and without a Sword: Self-Governance Is Possible.” The American Political Science Review 86 (2): 404–417.Google Scholar
Ostrom, Elinor, Walker, James, and Gardner, Roy. 1994. Rules, Games, and CommonPool Resources. University of Michigan Press.Google Scholar
Pal, Manoranjan. 1980. “Consistent Moment Estimators of Regression Coefficients in the Presence of Errors in Variables.” Journal of Econometrics 14 (3): 349–364.Google Scholar
Palfrey, Thomas R., and Rosenthal, Howard. 1985. “Voter Participation and Strategic Uncertainty.” The American Political Science Review 79 (1): 62–78.Google Scholar
Pearl, Judea. 2000. Causality: Models, Reasoning and Inference. Cambridge; New York: Cambridge University Press.Google Scholar
Persson, Torsten, and Tabellini, Guido Enrico. 2002. Political Economics: Explaining Economic Policy. Cambridge, MA: MIT Press.Google Scholar
Pfajfar, Damjan. 2013. “Formation of Rationally Heterogeneous Expectations.” Journal of Economic Dynamics and Control 37 (8): 1434–1452.Google Scholar
Pfajfar, Damjan, and Žakelj, Blaž. 2016. “Uncertainty in Forecasting Inflation and Monetary Policy Design: Evidence from the Laboratory.” International Journal of Forecasting 32 (3): 849–864.Google Scholar
Pfleiderer, Paul. 2014. “Chameleons: The Misuse of Theoretical Models in Finance and Economics.” SSRN Electronic Journal 16 (July).Google Scholar
Plott, Charles, and Smith, Vernon, eds. 2008. Handbook of Experimental Economics Results. Vol. 1. Amsterdam: Elsevier/North Holland.Google Scholar
Poteete, Amy R., Janssen, Marco A., and Ostrom, Elinor. 2010. Working Together: Collective Action, the Commons, and Multiple Methods in Practice. Princeton, NJ: Princeton University Press.Google Scholar
Powell, G. Bingham. 2000. Elections as Instruments of Democracy: Majoritarian and Proportional Visions. New Haven, CT: Yale University Press.Google Scholar
Prescott, Edward C. 1986. “Theory Ahead of Business-Cycle Measurement.” Carnegie-Rochester Conference Series on Public Policy 25 (Fall): 11–44.Google Scholar
Preston, Bruce. 2005. “Learning about Monetary Policy Rules When Long-Horizon Expectations Matter.” International Journal of Central Banking 1 (2).Google Scholar
Pruitt, Seth. 2012. “Uncertainty Over Models and Data: The Rise and Fall of American Inflation.” Journal of Money, Credit and Banking 44 (2–4): 341–365.Google Scholar
Putnam, Hilary. 1975. Philosophical Papers: Volume 2, Mind, Language and Reality. Cambridge: Cambridge University Press.Google Scholar
Ramsey, Frank P. 1928. “A Mathematical Theory of Saving.” The Economic Journal 38 (152): 543–559.Google Scholar
Raub, Werner, Buskens, Vincent W., and van Assen, Marcel. 2011. “Micro-Macro Links and Microfoundations in Sociology.” Physiology & Behavior 35 (January): 1–25.Google Scholar
Ravn, Morten O., and Uhlig, Harald. 2002. “On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations.” The Review of Economics and Statistics 84 (2): 371–376.Google Scholar
Reichenbach, Hans. 1951. The Rise of Scientific Philosophy. Berkeley: University of California Press.Google Scholar
Riechmann, Thomas. 1999. “Learning and Behavioral Stability: An Economic Interpretation of Genetic Algorithms.” Journal of Evolutionary Economics 9 (May): 225–242.Google Scholar
Riechmann, Thomas. 2001. Learning in Economics: Analysis and Application of Genetic Algorithms. Heldelberg: Physica-Verlag.Google Scholar
Rigden, John S. 2005. “The Mystique of Physics: Relumine the Enlightenment.” American Journal of Physics 73 (12): 1094–1098.Google Scholar
Riker, William H. 1958. “The Paradox of Voting and Congressional Rules for Voting on Amendments.” The American Political Science Review 52 (2): 349–366.Google Scholar
Riker, William H. 1986. The Art of Political Manipulation. New Haven, CT: Yale University Press.Google Scholar
Riker, William H., and Ordeshook, Peter C.. 1968. “A Theory of the Calculus of Voting.” The American Political Science Review 62 (1): 25–42.Google Scholar
Rilling, James K., Gutman, David A., Zeh, Thorsten R., Pagnoni, Giuseppe, Berns, Gregory S., and Kilts, Clinton D.. 2002. “A Neural Basis for Social Cooperation.” Neuron 35 (2): 395–405.Google Scholar
Roth, Alvin E. 1993. “The Early History of Experimental Economics.” Journal of the History of Economic Thought 15 (2): 184–209.Google Scholar
Sally, David. 1995. “Conversation and Cooperation in Social Dilemmas: A Meta-Analysis of Experiments from 1958 to 1992.” Rationality and Society - RATION SOC 7 (January): 58–92.Google Scholar
Salmon, Wesley C. 1988. “Introduction.” In The Limitations of Deductivism, edited by Grünbaum, A. and Salmon, Wesley C., 1–18. Berkeley, CA: University of California Press.Google Scholar
Sargent, Robert G. 2013. “Verification and Validation of Simulation Models.” Journal of Simulation 7 (1): 12–24.Google Scholar
Sargent, Thomas J. 1976. “The Observational Equivalence of Natural and Unnatural Rate Theories of Macroeconomics.” Journal of Political Economy 84 (3): 631–640.Google Scholar
Sargent, Thomas J. 1993. Bounded Rationality in Macroeconomics: The Arne Ryde Memorial Lectures. New York: Oxford University Press.Google Scholar
Sargent, Thomas J., and Wallace, Neil. 1975. “‘Rational’ Expectations, the Optimal Monetary Instrument, and the Optimal Money Supply Rule.” Journal of Political Economy 83 (2): 241–254.Google Scholar
Sbordone, Argia M., Tambalotti, Andrea, Rao, Krishna, and Walsh, Kieran. 2010. “Policy Analysis Using DSGE Models: An Introduction - FEDERAL RESERVE BANK of NEW YORK.” FRBNY Economic Policy Review 16 (2): 23–43.Google Scholar
Schmitt, Pamela, Swope, Kurtis, and Walker, James. 2000. “Collective Action with Incomplete Commitment: Experimental Evidence.” Southern Economic Journal 66 (4): 829–854.Google Scholar
Shachar, Ron. 2003. “Party Loyalty as Habit Formation.” Journal of Applied Econometrics 18 (3): 251–269.Google Scholar
Shaw, Jamie. 2018. “Why the Realism Debate Matters for Science Policy: The Case of the Human Brain Project.” Spontaneous Generations: A Journal for the History and Philosophy of Science 9 (1): 82–98.Google Scholar
Sheffrin, Steven M. 1988. “Have Economic Fluctuations Been Dampened? A Look at Evidence Outside the United States.”Journal of Monetary Economics 21 (1): 73–83.Google Scholar
Shively, W. Phillips. 2017. The Craft of Political Research. Abingdon-on-Thames: Routledge.Google Scholar
Signorino, Curtis S. 1999. “Strategic Interaction and the Statistical Analysis of International Conflict.” The American Political Science Review 93 (2): 279–297.Google Scholar
Signorino, Curtis S. 2002. “Strategy and Selection in International Relations.” International Interactions 28 (January): 93–115.Google Scholar
Signorino, Curtis S. 2003. “Structure and Uncertainty in Discrete Choice Models.” Political Analysis 11 (4): 316–344.Google Scholar
Signorino, Curtis S., and Tarar, Ahmer. 2006. “A Unified Theory and Test of Extended Immediate Deterrence.” American Journal of Political Science 50 (3): 586–605.Google Scholar
Signorino, Curtis S., and Yilmaz, Kuzey. 2003. “Strategic Misspecification in Regression Models.” American Journal of Political Science 47 (July): 551–566.Google Scholar
Sims, Christopher A. 1996. “Macroeconomics and Methodology.” The Journal of Economic Perspectives 10 (1): 105–120.Google Scholar
Smith, Vernon L. 1962. “An Experimental Study of Competitive Market Behavior.” Journal of Political Economy 70 (2): 111–137.Google Scholar
Solow, Robert M. 1956. “A Contribution to the Theory of Economic Growth.” The Quarterly Journal of Economics 70 (1): 65–94.Google Scholar
Sowell, Thomas. 1974. Classical Economics Reconsidered. Princeton, NJ: Princeton University Press.Google Scholar
Stadler, George W. 1994. “Real Business Cycles.” Journal of Economic Literature 32 (4): 1750–1783.Google Scholar
Stigler, George J. 1961. “The Economics of Information.” Journal of Political Economy 69 (3): 213–225.Google Scholar
Stigler, George J. 1962. “Information in the Labor Market.” Journal of Political Economy 70 (5): 94–105.Google Scholar
Stokes, Donald E. 1963. “Spatial Models of Party Competition.” The American Political Science Review 57 (2): 368–377.Google Scholar
Suzuki, Motoshi, and Chappell, Henry W.. 1996. “The Rationality of Economic Voting Revisited.” The Journal of Politics 58 (1): 224–236.Google Scholar
Szmatka, Jacek, and Lovaglia, Michael J.. 1996. “The Significance of Method.” Sociological Perspectives 39 (3): 393–415.Google Scholar
Taylor, John B. 1993. “Discretion versus Policy Rules in Practice.” Carnegie-Rochester Conference Series on Public Policy 39 (December): 195–214.Google Scholar
Taylor, John B. ed. 1999. Monetary Policy Rules. Chicago: University of Chicago Press.Google Scholar
Tullock, Gordon. 1967. “The Welfare Costs of Tariffs, Monopolies, and Theft.” Western Economic Journal 5 (3): 224.Google Scholar
Turner, John. 1987. “Demand and Supply in the Political Market.” Studies in Economics and Finance 11 (1): 3–17.Google Scholar
van Fraassen, Bas C. 2007. “From a View of Science to a New Empiricism.” In Images of Empiricism: Essays on Science and Stances, with a Reply From Bas C. Van Fraassen, edited by Bradley John Monton. Oxford: Oxford University Press.Google Scholar
Vining, Rutledge. 1949. “Koopmans on the Choice of Variables to Be Studies and the Methods of Measurement.” The Review of Economics and Statistics 31 (2): 77–86.Google Scholar
Voinea, Camelia F. 2016. Political Attitudes: Computational and Simulation Modelling. Chichester: John Wiley & Sons.Google Scholar
Neumann, Von, John, Oskar Morgenstern, and Rubinstein, Ariel. 1944. Theory of Games and Economic Behavior (60th Anniversary Commemorative Edition). Princeton, NJ: Princeton University Press.Google Scholar
Wagner, Markus. 2012. “When Do Parties Emphasise Extreme Positions? How Strategic Incentives for Policy Differentiation Influence Issue Importance?”European Journal of Political Research 51 (January): 64–88.Google Scholar
Wagner, R. Harrison. 2001. “Who’s Afraid of ‘Rational Choice Theory’?” Typescript. University of Texas at Austin.Google Scholar
Wagner, R. Harrison. 2007. War and the State: The Theory of International Politics. Ann Arbor: University of Michigan Press.Google Scholar
Wang, Miao, and Sunny Wong, M. C.. 2005. “Learning Dynamics in Monetary Policy: The Robustness of an Aggressive Inflation Stabilizing Policy.” Journal of Macroeconomics 27 (1): 143–151.Google Scholar
Weintraub, E. Roy. 2002. How Economics Became a Mathematical Science. Durham, NC ; London: Duke University Press Books.Google Scholar
Wellford, Charissa P. 1989. “A Laboratory Analysis of Price Dynamics and Expectations in the Cobweb Model.” Discussion Paper No. 89-15. Department of Economics, University of Arizona.Google Scholar
Weschle, Simon. 2014. “Two Types of Economic Voting: How Economic Conditions Jointly Affect Vote Choice and Turnout.” Electoral Studies 34 (June): 39–53.Google Scholar
Whang, Taehee, McLean, Elena V., and Kuberski, Douglas W.. 2013. “Coercion, Information, and the Success of Sanction Threats.” American Journal of Political Science 57 (1): 65–81.Google Scholar
Whittle, Peter. 1963. Prediction and Regulation by Linear Least-Square Methods. London: English Universities Press.Google Scholar
Whittle, Peter. 1983. Prediction and Regulation by Linear Least-Square Methods. Minneapolis: University of Minnesota Press.Google Scholar
Wilensky, Uri, and Rand, William. 2015. An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. Cambridge, MA: MIT Press.Google Scholar
Wilson, Rick K. 2014. “Voting and Agenda Setting in Political Science and Economics.” In Laboratory Experiments in the Social Sciences, edited by Webster, Murray and Sell, Jane, 433–458. Amsterdam: Academic Press/Elsevier.Google Scholar
Wolpin, Kenneth I. 2013. The Limits of Inference without Theory. Cambridge, MA: MIT Press.Google Scholar
Wooldridge, Jeffrey M. 2015. Introductory Econometrics: A Modern Approach. 4th edition. Mason, OH: South Western Cengage Learning.Google Scholar
Woon, Jonathan. 2012. “Democratic Accountability and Retrospective Voting: A Laboratory Experiment.” American Journal of Political Science 56 (4): 913–930.Google Scholar
Worcester, Kenton W. 2001. Social Science Research Council, 1923–1998. New York: Social Science Research Council.Google Scholar
Wray, K. Brad. 2008. “The Argument from Underconsideration as Grounds for Anti-realism: A Defence.” International Studies in the Philosophy of Science 22 (3): 317–326.Google Scholar
Wray, K. Brad. 2013. “Success and Truth in the Realism/Anti-Realism Debate.” Synthese 190 (9): 1719–1729.Google Scholar
Zellner, Arnold. 1984. Basic Issues in Econometrics. Chicago: University of Chicago Press.Google Scholar