Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-pftt2 Total loading time: 0 Render date: 2024-05-06T02:59:48.071Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  05 March 2019

Richard Thomas Curtin
Affiliation:
University of Michigan, Ann Arbor
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Consumer Expectations
Micro Foundations and Macro Impact
, pp. 327 - 340
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akerlof, G., Dickens, W., & Perry, G. (2001). Options for stabilization policy. The Brookings Institution Policy Brief, 69.Google Scholar
Akerlof, G., & Shiller, R. J. (2010). Animal spirits: How human psychology drives the economy, and why it matters for global capitalism (new edition). Princeton, NJ: Princeton University Press.Google Scholar
Allen, R., & Reber, A. (1980). Very long term memory for tacit knowledge. Cognition, 8(2), 175185.CrossRefGoogle ScholarPubMed
Aslin, R. N., Saffran, J. R., & Newport, E. L. (1998). Computation of conditional probability statistics by 8-month-old infants. Psychological Science, 9(4), 321324.CrossRefGoogle Scholar
Bacchetta, P., & van Wincoop, E. (2005). Rational inattention: A solution to the forward discount puzzle. NBER Working Paper Series, 11633.CrossRefGoogle Scholar
Baghestani, H. (1992). Survey evidence on the Muthian rationality of the inflation forecasts of US consumers. Oxford Bulletin of Economics and Statistics, 54(2), 173186.CrossRefGoogle Scholar
Baker, M. (1992). Digit preference in CPS unemployment data. Toronto, Ontario: University of Toronto Press.CrossRefGoogle Scholar
Bargh, J. A., & Chartrand, T. L. (1999). The unbearable automaticity of being. American Psychologist, 54(7), 462479.CrossRefGoogle Scholar
Bargh, J. A., & Ferguson, M. J. (2000). Beyond behaviorism: On the automaticity of higher mental processes. Psychological Bulletin, 126(6), 925945.CrossRefGoogle ScholarPubMed
Bargh, J. A., & Morsella, E. (2008). The unconscious mind. Perspectives on Psychological Science, 3(1), 7379.CrossRefGoogle ScholarPubMed
Bargh, J. A., & Williams, E. L. (2006). The automaticity of social life. Current Directions in Psychological Science, 15(1), 14.CrossRefGoogle ScholarPubMed
Barsky, R. B., & Sims, E. R. (2012). Information, animal spirits, and the meaning of innovations in consumer confidence. American Economic Review, 102(4), 13431377.CrossRefGoogle Scholar
Batchelor, R., & Dua, P. (1989). Household versus economists’ forecasts of inflation: A reassessment. Journal of Money, Credit and Banking, 21(2), 252257.CrossRefGoogle Scholar
Baumeister, R. F., & Vohs, K. D. (2004). Handbook of self-regulation: Research, theory, and applications. New York, NY: Guilford.Google Scholar
Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5), 12521265.CrossRefGoogle Scholar
Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275(5304), 12931295.CrossRefGoogle ScholarPubMed
Bernanke, B. S. (1983). Irreversibility, uncertainty, and cyclical investment. Quarterly Journal of Economics, 97(1), 85106.CrossRefGoogle Scholar
Bernheim, B., & Rangel, A. (2004). Addiction and cue-triggered decision processes. The American Economic Review, 94(5), 15581590.CrossRefGoogle ScholarPubMed
Berridge, K. C., & Robinson, T. E. (1998). What is the role of dopamine in reward: Hedonic impact, reward learning, or incentive salience? Brain Research Reviews, 28(3), 309369.CrossRefGoogle ScholarPubMed
Berry, D. C., & Broadbent, D. (1984). On the relationship between task performance and associated verbalizable knowledge. The Quarterly Journal of Experimental Psychology Section A, 36(2), 209231.CrossRefGoogle Scholar
Berry, D. C., (1988). Interactive tasks and the implicit–explicit distinction. British Journal of Psychology, 79(2), 251272.CrossRefGoogle Scholar
Berry, D. C., & Dienes, Z. P. (1993). Implicit learning: Theoretical and empirical issues. East Sussex, UK: Lawrence Erlbaum Associates.Google Scholar
Betsch, T., Plessner, H., Schwieren, C., & Gutig, R. (2001). I like it but I don’t know why: A value-account approach to implicit attitude formation. Personality Social Psychology Bulletin, 27(2), 242253.CrossRefGoogle Scholar
Beyth-Marom, R. (1982). How probable is probable? Numerical translations of verbal probability expressions. Journal of Forecasting, 1, 257269.CrossRefGoogle Scholar
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. The Journal of Political Economy, 100(5), 9921026.CrossRefGoogle Scholar
Blanchard, O. (1993). Consumption and the recession of 1990–1991. American Economic Review, 83(2), 270274.Google Scholar
Blendon, R. J., Benson, J. M., Brodie, M., Morin, R., Altman, D. E., Gitterman, D., et al. (1997). Bridging the gap between the public’s and economists’ views of the economy. Journal of Economic Perspectives, 11(3), 105118.CrossRefGoogle Scholar
Bless, H., Schwarz, N., Clore, G. L., Golisano, V., Rabe, C., & Wölk, M. (1996). Mood and the use of scripts: Does a happy mood really lead to mindlessness? Journal of Personality and Social Psychology, 71(4), 665679.CrossRefGoogle ScholarPubMed
Blinder, A. S., & Krueger, A. B. (2004). What does the public know about economic policy, and how does it know it? Brookings Papers on Economic Activity, 2004(1), 327397.CrossRefGoogle Scholar
Branch, W. A. (2007). Sticky information and model uncertainty in survey data on inflation expectations. Journal of Economic Dynamics and Control, 31(1), 245276.CrossRefGoogle Scholar
Brase, G. L., Cosmides, L., & Tooby, J. (1998). Individuation, counting, and statistical inference: The role of frequency and whole-object representations in judgment under uncertainty. Journal of Experimental Psychology: General, 127(1), 321.CrossRefGoogle Scholar
Bryan, M. F., & Gavin, W. T. (1986). Models of inflation expectations formation: A comparison of household and economist forecasts. Journal of Money, Credit and Banking, 18(4), 539544.CrossRefGoogle Scholar
Bryan, M. F., & Venkatu, G. (2001). The demographics of inflation opinion surveys. Federal Reserve Bank of Cleveland, Economic Commentary.Google Scholar
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116131.CrossRefGoogle Scholar
Cagan, P. (1956). The monetary dynamics of hyperinflation. In Friedman, M. (Ed.), Studies in the quantity theory of money (pp. 25117). Chicago, IL: University of Chicago Press.Google Scholar
Camerer, C. F., & Hogarth, R. M. (1999). The effects of financial incentives in experiments: A review and capital-labor-production framework. Journal of Risk and Uncertainty, 19(1), 742.CrossRefGoogle Scholar
Camerer, C. F., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: How neuroscience can inform economics. Journal of Economic Literature, 43, 964.CrossRefGoogle Scholar
Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5(4), 325370.CrossRefGoogle Scholar
Campbell, J. Y., & Mankiw, N. G. (1989). Consumption, income, and interest rates: Reinterpreting the time series evidence. In Fischer, S., & Blanchard, O. (Eds.), NBER macroeconomics annual 1989 (volume 4, pp. 185246). Cambridge, MA: MIT Press.Google Scholar
Caplin, A., & Dean, M. (2008). Dopamine, reward prediction error, and economics. The Quarterly Journal of Economics, 123(2), 663701.CrossRefGoogle Scholar
Carey, S. (2001). Bridging the gap between cognition and developmental neuroscience: The example of number representation. In Nelson, C. A., & Luciana, M. (Eds.), The handbook of developmental cognitive neuroscience (pp. 413432). Cambridge, MA: MIT Press.Google Scholar
Carlson, J. A., & Parkin, M. (1975). Inflationary expectations. Economica, 42, 123138.CrossRefGoogle Scholar
Carroll, C. D. (1994). How does future income affect current consumption. Quarterly Journal of Economics, 109(1), 111147.CrossRefGoogle Scholar
Carroll, C. D. (2001). The epidemiology of macroeconomic expectations. NBER Working Paper Series, 8695.CrossRefGoogle Scholar
Carroll, C. D. (2003). Macroeconomic expectations of households and professional forecasters. The Quarterly Journal of Economics, 118(1), 269298.CrossRefGoogle Scholar
Carter, R., & Frith, C. D. (1998). Mapping the mind. Berkeley and Los Angeles, CA: University of California Press.Google Scholar
Cass, D., & Shell, K. (1983). Do sunspots matter? Journal of Political Economy, 91(2), 193227.CrossRefGoogle Scholar
Ceci, S. J. (1991). How much does schooling influence general intelligence and its cognitive components? A reassessment of the evidence. Developmental Psychology, 27(5), 703722.CrossRefGoogle Scholar
Chaiken, S., & Trope, Y. (1999). Dual-process theories in social psychology. New York, NY: Guilford Press.Google Scholar
Christiano, L. J., & Fitzgerald, T. J. (1999). The business cycle: It’s still a puzzle. Economic Perspectives, Federal Reserve Bank of Chicago, 22(4), 5683.Google Scholar
Cleeremans, A., Destrebecqz, A., & Boyer, M. (1998). Implicit learning: News from the front. Trends in Cognitive Science, 2(10), 406416.CrossRefGoogle ScholarPubMed
Cochrane, J. H. (1994). Shocks. Carnegie-Rochester Conference Series on Public Policy, 41, 295364.CrossRefGoogle Scholar
Conlisk, J. (1996). Why bounded rationality? Journal of Economic Literature, 34, 669700.Google Scholar
Cosmides, L., & Tooby, J. (1996). Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition, 58, 173.CrossRefGoogle Scholar
Croushore, D. (1998). Evaluating inflation expectations. Federal Reserve Bank of Philadelphia, Working Paper 98-14.CrossRefGoogle Scholar
Cukierman, A., & Meltzer, A. (1986). A theory of ambiguity, credibility, and inflation under discretion and asymmetric information. Econmetrica, 54(5), 10991128.CrossRefGoogle Scholar
Curtin, R. T. (1983). Curtin on Katona. In Spiegel, H. W. & Samuels, W. J. (Eds.), Contemporary economists in perspective (pp. 495522). New York, NY: Jai Press.Google Scholar
Curtin, R. T. (1999). The outlook for consumption in 2000. In Hymans, S. (Ed.), The economic outlook for 2000. Ann Arbor, MI: University of Michigan.Google Scholar
Curtin, R. T. (2003). Unemployment expectations: The impact of private information on income uncertainty. Review of Income and Wealth, 49(4), 539554.CrossRefGoogle Scholar
Curtin, R. T. (2004). Psychology and macroeconomics. In Kahn, R., Juster, F. T., House, J., & Singer, E. (Eds.), A telescope on society: Survey research and social science at the University of Michigan (pp. 131155). Ann Arbor, MI: University of Michigan Press.Google Scholar
Curtin, R. T. (2007). Consumer sentiment surveys: Worldwide review and assessment. Journal of Business Cycle Measurement and Analysis, 3(1) 742.CrossRefGoogle Scholar
Curtin, R. T. (2008). What US consumers know about economic conditions. In Giovannini, E. (Ed.), Statistics, knowledge and policy 2007: Measuring and fostering the progress of societies. Paris: OECD.Google Scholar
Curtin, R. T. (2010). Inflation expectations and empirical tests: Theoretical models and empirical tests. In Sinclair, P. (Ed.), Inflation expectations, Routledge International Studies in Money and Banking 56 (pp. 3461). London: Routledge.Google Scholar
Curtin, R. T. (2013). Consumer behavior adapts to fundamental changes in expectations. In Fulton, G. (Ed.), The economic outlook for 2014. Ann Arbor, MI: University of Michigan.Google Scholar
Curtin, R. T. (2016). George Katona: A founder of behavioral economics. In Frantz, Roger, et al. (Eds.), Routledge handbook of behavioral economics (pp. 1835). London, UK: Routledge.Google Scholar
Curtin, R. T., Presser, S., & Singer, E. (2000). The effects of response rate changes on the index of consumer sentiment. Public Opinion Quarterly, 64, 413428.CrossRefGoogle ScholarPubMed
Damasio, A. R. (1994). Descartes’ error. New York, NY: Putnam.Google ScholarPubMed
Darwin, C. (1872). The expression of the emotions in man and animal. London, UK: John Murray.CrossRefGoogle Scholar
De Cruz, H. (2006). Why are some numerical concepts more successful than others? An evolutionary perspective on the history of number concepts. Evolution and Human Behavior, 27(4), 306323.CrossRefGoogle Scholar
De Grauwe, P. (2010). Top-down versus bottom-up macroeconomics. CESifo Economic Studies, 56(4), 465497.CrossRefGoogle Scholar
Dehaene, S. (1997). The number sense: How the mind creates mathematics. New York, NY: Oxford University Press.Google Scholar
Dehaene, S. (2003). The neural basis of the Weber–Fechner law: A logarithmic mental number line. Trends in Cognitive Sciences, 7(4), 145147.CrossRefGoogle ScholarPubMed
Dehaene, S., & Akhavein, R. (1995). Attention, automaticity, and levels of representation in number processing. Journal of Experimental Psychology: Learning, Memory and Cognition, 21(2), 314326.Google ScholarPubMed
Dehaene, S., Dehaene-Lambertz, G., & Cohen, L. (1998). Abstract representations of numbers in the animal and human brain. Trends in Neuroscience, 21(8), 355361.CrossRefGoogle ScholarPubMed
Dehaene, S., Molko, N., Cohen, L., & Wilson, A. J. (2004). Arithmetic and the brain. Current Opinion in Neurobiology, 14, 218224.CrossRefGoogle ScholarPubMed
Dehaene, S., Changeux, J., Naccache, L., & Sackur, J. (2006). Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends in Cognitive Science, 10(5), 204211.CrossRefGoogle ScholarPubMed
Delli Carpini, M., & Keeter, S. (1996). What Americans know about politics and why it matters. New Haven, CT: Yale University Press.Google Scholar
Di Chiara, G. (1997). Alcohol and dopamine. Alcohol Health and Research World, 21(2), 108114.Google ScholarPubMed
Dijksterhuis, A. (2004). Think different: The merits of unconscious thought in preference development and decision making. Journal of Personality and Social Psychology, 87(5), 586598.CrossRefGoogle ScholarPubMed
Dominitz, J., & Manski, C. F. (1997). Perceptions of economic insecurity. Public Opinion Quarterly, 61, 261287.CrossRefGoogle Scholar
Dow, G. (2013). Marx, Keynes and heterodoxy. The Journal of Australian Political Theory (75), 6998.Google Scholar
Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets: Reasoning about a highly connected world. New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Edouard, L., & Senthilselvan, A. (1997). Observer error and birthweight: Digit preference in recording. Public Health, 111(2), 7779.CrossRefGoogle ScholarPubMed
Ekman, P. (1972). Universals and cultural differences in facial expressions of emotion. Nebraska symposium on motivation (pp. 207286). Lincoln, NE: University of Nebraska Press.Google Scholar
Ekman, P. (1992). Cognition and emotions. San Francisco, CA: Lawrence Erlbaum Associates.Google Scholar
Elster, J. (1998). Emotions and economic theory. Journal of Economic Literature, 36(1), 4774.Google Scholar
Enticott, P. G., Johnston, P. J., Herring, S. E., Hoy, K. E., & Fitzgerald, P. B. (2008). Mirror neuron activation is associated with facial emotion processing. Neuropsychologia, 46(11), 28512854.CrossRefGoogle ScholarPubMed
Epstein, S. (1994). Integration of the cognitive and psychodynamic unconscious. American Psychologist, 49(8), 709724.CrossRefGoogle ScholarPubMed
Feigenson, L., Dehaene, S., & Spelke, E. (2004). Core systems of number. Trends in Cognitive Sciences, 8(7), 307314.CrossRefGoogle ScholarPubMed
Fischer, S., Drosopoulos, S., Tsen, J., & Born, J. (2006). Implicit learning – explicit knowledge: A role for sleep in memory system interaction. Journal of Cognitive Neuroscience, 18(3), 311319.CrossRefGoogle ScholarPubMed
Fischhoff, B. (1994). What forecasts (seem to) mean. International Journal of Forecasting, 10(3), 387403.CrossRefGoogle Scholar
Fisher, I. (1930). The theory of interest as determined by impatience to spend income and opportunity to invest it. New York, NY: Macmillan.Google Scholar
French, E., Kelley, T., & Qi, A. (2013). Expected income growth and the great recession. Economic Perspectives, 37(1), 1429.Google Scholar
Freud, S. (1900). The interpretation of dreams. Leipzig & Vienna: Franz Deuticke.Google Scholar
Friedman, M. (1953). Essays in positive economics. Chicago, IL: University of Chicago Press.Google Scholar
Friedman, M. (1957). A theory of the consumption function. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Frijda, N. H. (1986). The emotions: Studies in emotion and social interaction. London & Paris: Cambridge University Press & Editions de la Maison des Sciences de l’Homme.Google Scholar
Frydman, R., & Phelps, E. S. (2013). Rethinking expectations: The way forward for macroeconomics. Princeton, NJ: Princeton University Press.Google Scholar
Gallagher, D., & Clore, G. (1985). Effects of fear and anger on judgments of risk and evaluations of blame. Annual Meeting of the Midwestern Psychological Association, Chicago, IL.Google Scholar
Gallese, V., Keysers, C., & Rizzolatti, G. (2004). A unifying view of the basis of social cognition. Trends in Cognitive Sciences, 8(9), 396403.CrossRefGoogle ScholarPubMed
Gallistel, C. R., & Gelman, R. (1992). Preverbal and verbal counting and computation. Cognition, 44, 4374.CrossRefGoogle ScholarPubMed
Geweke, J., Meese, R., & Dent, W. (1983). Comparing alternative tests of causality in temporal systems. Journal of Econometrics, 21(2), 161194.CrossRefGoogle Scholar
Gigerenzer, G. (1996). On narrow norms and vague heuristics: A reply to Kahneman and Tversky. Psychological Review, 103(3), 592596.CrossRefGoogle Scholar
Gigerenzer, G. (1998). Ecological intelligence: An adaptation for frequencies. In Cummins, D. D., & Allen, C. (Eds.), The evolution of mind (pp. 929). New York, NY: Oxford University Press.Google Scholar
Gigerenzer, G., & Hoffrage, U. (1995). How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review, 102(4), 684704.CrossRefGoogle Scholar
Gigerenzer, G., (1999). Overcoming difficulties in Bayesian reasoning: A reply to Lewis and Keren (1999) and Mellers and McGraw (1999). Psychological Review, 106(2), 425430.CrossRefGoogle Scholar
Gigerenzer, G., Swijtink, Z., Porter, T., Daston, L., Beatty, J. & Krüger, L. (1989). The empire of chance: How probability changed science and everyday life. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Gilbert, D. T. (1999). What the mind’s not. In Chaiken, S., & Trope, Y. (Eds.), Dual-process theories in social psychology (pp. 311). New York, NY: Guilford.Google Scholar
Goldrian, G., Lindbauer, J. D., & Nerb, G. (2001). Evaluation and development of confidence indicators based on harmonised business and consumer surveys. Munich: IFO Institute for Economic Research.Google Scholar
Gordon, P. (2004). Numerical cognition without words: Evidence from Amazonia. Science, 306(5695), 496499.CrossRefGoogle ScholarPubMed
Gramlich, E. (1983). Models of inflation expectations formation. Journal of Money, Credit and Banking, 15(2), 155173.CrossRefGoogle Scholar
Grant, A. P., & Thomas, L. B. (1999). Inflation expectations and rationality revisited. Economics Letters, 62, 331338.CrossRefGoogle Scholar
Guiso, L., Japelli, T., & Terlizzese, D. (1992). Earnings uncertainty and precautionary saving. Journal of Monetary Economics, 30, 307337.CrossRefGoogle Scholar
Hagemann, R. P. (1982). The variability of inflation rates across household types. Journal of Money, Credit and Banking, 14(4), 494510.CrossRefGoogle Scholar
Hamilton, J. T. (2003). All the news that’s fit to sell: How the market transforms information into news. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Hall, R. E. (1993). Macro theory and the recession of 1990–1991. The American Economic Review, 83(2), 275279.Google Scholar
Hasher, L., & Zacks, R. T. (1984). Automatic processing of fundamental information: The case of frequency of occurrence. American Psychologist, 39(12), 13721388.CrossRefGoogle ScholarPubMed
Hendry, D. F., & Krolzig, H. M. (2005). The properties of automatic GETS modelling. The Economic Journal, 115(502), C32C61.CrossRefGoogle Scholar
Hinsz, V. B., Tindale, R. S., & Vollrath, D. A. (1997). The emerging conceptualization of groups as information processors. Psychological Bulletin, 121(1), 4364.CrossRefGoogle ScholarPubMed
Hirshleifer, D., & Slumway, T. (2003). Good day sunshine: Stock returns and the weather. Journal of Finance, 58(3), 10091032.CrossRefGoogle Scholar
Hobijn, B., & Lagakos, D. (2005). Inflation inequality in the united states. Review of Income and Wealth, 51(4), 581606.CrossRefGoogle Scholar
Hodgkinson, G. P., Langan-Fox, J., & Sadler-Smith, E. (2008). Intuition: A fundamental bridging construct in the behavioural sciences. British Journal of Psychology, 99(1), 127.CrossRefGoogle ScholarPubMed
Hoffmann, J., & Sebald, A. (2005). When obvious covariations are not even learned implicitly. European Journal of Cognitive Psychology, 17(4), 449480.CrossRefGoogle Scholar
Hogarth, R. M. (2001). Educating intuition. Chicago, IL: University of Chicago Press.Google Scholar
Howitt, P., & McAfee, P. (1992). Animal spirits. American Economic Review, 82(3), 493507.Google Scholar
Iacoboni, M., Molnar-Szakacs, I., Gallese, V., Buccino, G., Mazziotta, J. C., & Rizzolatti, G. (2005). Grasping the intentions of others with one’s own mirror neuron system. PLoS Biology, 3(3), 529535.CrossRefGoogle ScholarPubMed
Ilut, C. L., & Schneider, M. (2014). Ambiguous business cycles. American Economic Review, 104(8), 23682399.CrossRefGoogle Scholar
Izard, V., & Dehaene, S. (2008). Calibrating the mental number line. Cognition, 106(3), 12211247.CrossRefGoogle ScholarPubMed
Jevons, W. S. (1878). Commercial crisis and sun-spots. Nature, 19, 3337.CrossRefGoogle Scholar
Juster, F. T. (1966). Consumer buying intentions and purchase probability: An experiment in survey design. Journal of the American Statistical Association, 61(315), 658696.CrossRefGoogle Scholar
Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.Google Scholar
Kahneman, D. (2013). Behavioral economics and investor protection: Keynote address. Loyola University Chicago Law Journal, 44, 13331509.Google Scholar
Kahneman, D., & Lovallo, D. (1993). Timid choices and bold forecasts: A cognitive perspective on risk taking. Management Science, 39(1), 1731.CrossRefGoogle Scholar
Kahneman, D., & Miller, D. T. (1986). Norm theory: Comparing reality to its alternatives. Psychological Review, 93(2), 136153.CrossRefGoogle Scholar
Kahneman, D., Slovic, P., & Tversky, A. (1985). Judgment under uncertainty: Heuristics and biases. Cambridge: Cambridge University Press.Google Scholar
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263292.CrossRefGoogle Scholar
Kahneman, D., (1982). On the psychology of prediction. In Kahneman, D., Slovic, P., & Tversky, A. (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 4868). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Kareev, Y., Lieberman, I., & Lev, M. (1997). Through a narrow window: Sample size and the perception of correlation. Journal of Experimental Psychology, 126(3), 278287.CrossRefGoogle Scholar
Karlsson, N., Loewenstein, G., & Seppi, D. (2009). The ostrich effect: Selective attention to information about investments. Journal of Risk and Uncertainty, 38(2), 95115.CrossRefGoogle Scholar
Katona, G. (1940). Organizing and memorizing: Studies in the psychology of learning and teaching. New York, NY: Columbia University Press.Google Scholar
Katona, G. (1951). Psychological analysis of economic behavior. New York, NY: McGraw-Hill.Google Scholar
Katona, G. (1960). The powerful consumer: Psychological studies of the American economy. New York, NY: McGraw-Hill.Google Scholar
Katona, G. (1964). The mass consumption society. New York, NY: McGraw-Hill.Google Scholar
Katona, G. (1975). Psychological economics. New York, NY: Elsevier.Google Scholar
Katona, G., & Mueller, E. (1956). Consumer expectations, 1953–56. Ann Arbor, MI: Survey Research Center, University of Michigan.Google Scholar
Keane, M. P., & Runkle, D. E. (1990). Testing the rationality of price forecasts: New evidence from panel data. American Economic Review, 80(4), 714735.Google Scholar
Keynes, J. M. (1936). The general theory of employment, interest, and money. New York, NY: Harcourt, Brace.Google Scholar
Khan, H., & Zhu, Z. (2002). Estimates of the sticky-information Phillips curve for the United States, Canada, and the United Kingdom. Bank of Canada, Working Paper 2002-19.Google Scholar
Kihlstrom, J. F. (1987). The cognitive unconscious. Science, 237(4821), 14451452.CrossRefGoogle ScholarPubMed
Kimball, M. S. (1990). Precautionary saving in the small and in the large. Econometrica, 58(1), 5373.CrossRefGoogle Scholar
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002). Visual statistical learning in infancy: Evidence for a domain general learning mechanism. Cognition, 83, B35–B42.CrossRefGoogle ScholarPubMed
Klein, L. R. (1946). A post-mortem on transition predictions of national product. The Journal of Political Economy, 54(4), 289308.CrossRefGoogle Scholar
Koch, C., & Tsuchiya, N. (2006). Attention and consciousness: Two distinct brain processes. Trends in Cognitive Sciences, 11(1), 1622.CrossRefGoogle ScholarPubMed
Koopmans, T. C. (1947). Measurement without theory. The Review of Economics and Statistics, 29(3), 161172.CrossRefGoogle Scholar
Koppl, R. (1991). Retrospectives: Animal spirits. Journal of Economic Perspectives, 5(3), 203210.CrossRefGoogle Scholar
Koszegi, B., & Rabin, M. (2006). A model of reference-dependent preferences. The Quarterly Journal of Economics, 121(4), 11331165.Google Scholar
Koszegi, B., (2007). Mistakes in choice based welfare analysis. The American Economic Review, 97(2), 477481.CrossRefGoogle Scholar
Koszegi, B., (2009). Reference-dependent consumption plans. The American Economic Review, 99(3), 909936.CrossRefGoogle Scholar
Koyck, L. M. (1954). Distributed lags and investment analysis. Amsterdam: North-Holland.Google Scholar
Krosnick, J. A. (1999). Survey research. Annual Review of Psychology, 50, 537567.CrossRefGoogle ScholarPubMed
Kuhl, P. K. (2004). Early language acquisition: Cracking the speech code. Nature Reviews Neuroscience, 5, 831843.CrossRefGoogle ScholarPubMed
Kuhn, T. S. (1962). International encyclopedia of unified science. Chicago, IL: University of Chicago Press.Google Scholar
Lahiri, K., & Zhao, Y. (2016) Determinants of consumer sentiment over business cycles: Evidence from the US surveys of consumers. Journal of Business Cycle Research, 12, 187215.CrossRefGoogle Scholar
LeDoux, J. (1996). The emotional brain: The mysterious underpinnings of emotional life. New York, NY: Simon and Schuster.Google Scholar
Lepage, J., & Théoret, H. (2007). The mirror neuron system: Grasping others’ actions from birth? Developmental Science, 10(5), 513523.CrossRefGoogle ScholarPubMed
Lerner, J. S., Small, D. A., & Loewenstein, G. (2004). Heart strings and purse strings: Carryover effects of emotions on economic decisions. Psychological Science, 15(5), 337.CrossRefGoogle ScholarPubMed
Levanon, G., Ozyildirim, A., Schaitkin, B., & Zabinska, J. (2011). Comprehensive benchmarks revisions for the Conference Board Learning Economic Index for the United States. New York, NY: The Conference Board.Google Scholar
Lewicki, P. (1986). Processing information about covariations that cannot be articulated. Journal of Experimental Psychology, 12(1), 135146.Google Scholar
Lewicki, P., & Hill, T. (1989). On the status of nonconscious processes in human cognition: Comment on Reber. Journal of Experimental Psychology, 118(3), 239241.CrossRefGoogle ScholarPubMed
Lewicki, P., Hill, T., & Czyzewska, M. (1992). Nonconscious acquisition of information. American Psychologist, 47(6), 796801.CrossRefGoogle ScholarPubMed
Lewicki, P., Hill, T., (1994). Nonconscious indirect inferences in encoding. Journal of Experimental Psychology: General, 123(3), 257263.CrossRefGoogle ScholarPubMed
Lewicki, P., Hill, T., (1997). Hidden covariation detection: A fundamental and ubiquitous phenomenon. Journal of Experimental Psychology: Learning, Memory and Cognition, 21(1), 221228.Google Scholar
Lewin, S. B. (1996). Economics and psychology: Lessons for our own day from the early twentieth century. Journal of Economic Literature, 34(3), 12931323.Google Scholar
Lichtenstein, S., Fischhoff, B., & Phillips, L. D. (1982). Calibration of probabilities: The state of the art to 1980. In Kahneman, D., & Tversky, A. (Eds.), Judgment under uncertainty: Heuristics and biases (pp. 306334). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Lieberman, M. D. (2000). Intuition: A social cognitive neuroscience approach. Psychological Bulletin, 126(1), 109137.CrossRefGoogle ScholarPubMed
Lillard, L. A., & Willis, R. J. (2001). Cognition and wealth: The importance of probabilistic thinking. Ann Arbor, MI: Michigan Retirement Research Center & Health and Retirement Study.Google Scholar
Loewenstein, G. F., & O’Donoghue, T. (2004). Animal spirits: Affective and deliberative processes in economic behavior. SSRN 539843.CrossRefGoogle Scholar
Loewenstein, G. F., Hsee, C. K., Weber, E. U., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267286.CrossRefGoogle ScholarPubMed
Lott, W., & Miller, S. (1982). Are workers more accurate forecasters of inflation than capitalists? Applied Economics, 14(5), 437446.CrossRefGoogle Scholar
Lucas, A. (1987). Public knowledge of biology. Journal of Biological Education, 21(1), 4145.CrossRefGoogle Scholar
Lucas, A. M. (1988). Public knowledge of elementary physics. Physics Education, 23(1), 1016.CrossRefGoogle Scholar
Lucas, R. J. (2002). Lectures on economic growth. Cambridge, MA: Harvard University Press.Google Scholar
Mankiw, N. G., & Reis, R. (2002). Sticky information versus sticky prices: A proposal to replace the new Keynesian-Phillips curve. The Quarterly Journal of Economics, 117(4), 12951328.CrossRefGoogle Scholar
Mankiw, N. G., (2003). What measure of inflation should a central bank target? Journal of the European Economic Association, 1(5), 10581086.CrossRefGoogle Scholar
Mankiw, N. G., Reis, R., & Wolfers, J. (2004). Disagreement about inflation expectations. NBER Macroeconomic Annual 2003, 18, 209270.CrossRefGoogle Scholar
Manski, C. F. (1990). The use of intentions data to predict behavior: A best-case analysis. Journal of the American Statistical Association, 85(412), 934990.CrossRefGoogle Scholar
Massey, D. S. (2002). A brief history of human society: The origin and role of emotion in social life. American Sociological Review, 67(1), 129.Google Scholar
Mathews, R. C., Roussel, L. G., Cochran, B. P., Cook, A. E., & Dunaway, D. L. (2000). The role of implicit learning in the acquisition of generative knowledge. Journal of Cognitive Systems Research, 1(3), 161174.CrossRefGoogle Scholar
Mehra, Y. P. (2002). Survey measures of expected inflation: Revisiting the issues of predictive content and rationality. Economic Quarterly-Federal Reserve Bank of Richmond, 88(3), 1736.Google Scholar
Menzies, G. D., & Zizzo, D. J. (2009). Inferential expectations. The BE Journal of Macroeconomics, 9(1), 125.Google Scholar
Michael, R. T. (1979). Variation across households in the rate of inflation. Journal of Money, Credit and Banking, 11, 3246.CrossRefGoogle Scholar
Midford, R., & Kirsner, K. (2005). Implicit and explicit learning in aged and young adults. Aging, Neuropsychology, and Cognition, 12(4), 359387.CrossRefGoogle ScholarPubMed
Mirenowicz, K., & Schultz, W. (1994). Importance of unpredictability for reward and response in primate dopamine neurons. Journal of Neurophysiology, 72, 10241027.CrossRefGoogle ScholarPubMed
Modigliani, F., & Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. In Kurihara, K. (Ed.), Post-Keynesian economics (pp. 388436). New Brunswick, NJ: Rutgers University Press.Google Scholar
Montague, P. R., & Berns, G. S. (2002). Neural economics and the biological substrates of valuation. Neuron, 36(2), 265284.CrossRefGoogle ScholarPubMed
Muth, J. F. (1961). Rational expectations and the theory of price movements. Econometrica, 29(3), 315335.CrossRefGoogle Scholar
Nakahara, H., Itoh, H., Kawagoe, R., Takikawa, Y., & Hikosaka, O. (2004). Dopamine neurons can represent context-dependent prediction error. Neuron, 41(2), 269280.CrossRefGoogle ScholarPubMed
Nardo, M. (2003). The quantification of qualitative survey data: A critical assessment. Journal of Economic Surveys, 17(5), 645668.CrossRefGoogle Scholar
Neisser, U. (1967). Cognitive psychology (4th edition). Urbana, IL: University of Illinois Press.Google Scholar
Nerlove, M. (1958). Adaptive expectations and cobweb phenomena. Quarterly Journal of Economics, 72(2), 227240.CrossRefGoogle Scholar
Nilsson, R. (2000). Confidence indicators and composite indicators. Paper presented at the CIRET Conference, Paris.Google Scholar
Nimark, K. P. (2014). Man-bites-dog business cycles. American Economic Review, 104(8), 23202367.CrossRefGoogle Scholar
Nisbett, R. E., & Wilson, T. D. (1977). The halo effect: Evidence for unconscious alteration of judgments. Journal of Personality and Social Psychology, 35(4), 250256.CrossRefGoogle Scholar
Nisbett, R. E., Krantz, D. H., Jepson, C., & Kunda, Z. (1983). The use of statistical heuristics in everyday inductive reasoning. Psychological Review, 90, 339.CrossRefGoogle Scholar
Noble, N. R., & Fields, T. W. (1982). Testing the rationality of inflation expectations derived from survey data: A structure-based approach. Southern Economic Journal, 49(2), 361373.CrossRefGoogle Scholar
Onishi, K. H., & Baillargeon, R. (2005). Do 15-month-old infants understand false beliefs? Science, 308(5719), 255.CrossRefGoogle ScholarPubMed
Organization for Economic Cooperation and Development. (2006). PISA: Assessing scientific, reading, and mathematical literacy. OECD.Google Scholar
Pesaran, M. H. (1984). Formation of inflation expectations in British manufacturing industries. Cambridge: Faculty of Economics, University of Cambridge.Google Scholar
Petty, R. E., Briñol, P., Loersch, C., & McCaslin, M. J. (2009). The need for cognition. In Leary, M. R., & Hoyle, R. H. (Eds.), Handbook of individual differences in social behavior (pp. 318329). New York, NY: Guilford.Google Scholar
PEW Research Center. (2009). Evening news viewership. Washington, DC.Google Scholar
Phelps, E. S. (2013). Mass flourishing: How grassroots innovation created jobs, challenge, and change. Princeton, NJ: Princeton University Press.Google Scholar
Pica, P., Lemer, C., Izard, V., & Dehaene, S. (2004). Exact and approximate arithmetic in an Amazonian Indigene group. Science, 306(5695), 499503.CrossRefGoogle Scholar
Popper, K. R. (1935). The logic of scientific discovery. New York, NY: Harper & Roy.Google Scholar
Presenti, M., Thioux, M., Seron, X., and De Volder, A. (2000). Neuroanatomical substrates of Arabic number processing, numerical comparison, and simple addition: A PET study. Journal of Cognitive Neuroscience, 12, 461479.CrossRefGoogle Scholar
Reber, A. S. (1967). Implicit learning of artificial grammars. Journal of Verbal Learning and Verbal Behavior, 6(6), 855863.CrossRefGoogle Scholar
Reber, A. S. (1992). The cognitive unconscious: An evolutionary perspective. Consciousness and Cognition, 1(2), 93133.CrossRefGoogle Scholar
Reber, A., Kassin, S. M., Lewis, S., & Cantor, G. (1980). On the relationship between implicit and explicit modes in the learning of a complex rule structure. Journal of Experimental Psychology: Learning, Memory and Cognition, 6(5), 492502.Google Scholar
Redgrave, P., & Gurney, K. (2006). The short-latency dopamine signal: A role in discovering novel actions? Nature Reviews Neuroscience, 7(12), 967975.CrossRefGoogle Scholar
Rescorla, R., & Wagner, A. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. New York, NY: Appleton-Century-Crofts.Google Scholar
Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Review of Neuroscience, 27(1), 169192.CrossRefGoogle ScholarPubMed
Rizzolatti, G., Fogassi, L., & Gallese, V. (2001). Neurophysiological mechanisms underlying the understanding and imitation of action. Nature Reviews Neuroscience, 2(9), 661670.CrossRefGoogle ScholarPubMed
Roberts, J. M. (1997). Is inflation sticky? Journal of Monetary Economics, 39(2), 173196.CrossRefGoogle Scholar
Ross, D., & Dumouchel, P. (2004). Emotions as strategic signals. Rationality and Society, 16(3), 251286.CrossRefGoogle Scholar
Roßnagel, C. S. (2001). Revealing hidden covariation detection: Evidence for implicit abstraction at study. Journal of Experimental Psychology: Learning, Memory and Cognition, 27(5), 12761288.Google ScholarPubMed
Sargent, T. J., & Sims, C. A. (1977). Business cycle modeling without pretending to have too much a priori economic theory. New Methods in Business Cycle Research, 1, 145168.Google Scholar
Savage, L. J. (1971). Elicitation of personal probabilities and expectations. Journal of the American Statistical Association, 66(336), 783801.CrossRefGoogle Scholar
Schwarz, N. (2007). Attitude construction: Evaluation in context. Social Cognition, 25(5), 638656.CrossRefGoogle Scholar
Schwarz, N., & Clore, G. L. (1996). Feelings and phenomenal experiences. Social Psychology: Handbook of Basic Principles, 2, 385400.Google Scholar
Schwarz, N., (2003). Mood as information: 20 years later. Psychological Inquiry, 14(3/4), 296303.CrossRefGoogle Scholar
Seaver, D. A., Winterfeldt, W., & Edwards, W. (1978). Eliciting subjective probability distributions on continuous variables. Organizational Behavior and Human Performance, 21(3), 379391.CrossRefGoogle Scholar
Sedlacek, T. (2011). Economics of good and evil: The quest for economic meaning from Gilgamesh to Wall Street. New York, NY: Oxford University Press.Google Scholar
Shefrin, H. M., & Thaler, R. H. (1988). The behavioral life-cycle hypothesis. Economic Inquiry, 26(4), 609643.CrossRefGoogle Scholar
Shiller, R. J. (2000). Irrational exuberance. Princeton, NJ: Princeton University Press.Google Scholar
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99118.CrossRefGoogle Scholar
Simon, H. A. (1987). Satisficing. The New Palgrave: A Dictionary of Economics, 4, 243245.Google Scholar
Simon, H. A. (1997). Models of bounded rationality. In Simon, H. A. (Ed.), Models of bounded rationality. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Simon, T. J., Hespos, S. J., & Rochat, P. (1995). Do infants understand simple arithmetic? A replication of Wynn (1992). Cognitive Development, 10, 253269.CrossRefGoogle Scholar
Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 148.CrossRefGoogle Scholar
Sims, C. A. (2003). Implications of rational inattention. Journal of Monetary Economics, 50(3), 665690.CrossRefGoogle Scholar
Smith, N. K., Cacioppo, J. T., Larsen, J. T., & Chartrand, T. L. (2003). May I have your attention, please: Electrocortical responses to positive and negative stimuli. Neuropsychologia, 41(2), 171183.CrossRefGoogle ScholarPubMed
Souleles, N. S. (2001). Consumer sentiment: Its rationality and usefulness in forecasting expenditure-evidence from the Michigan micro data. NBER Working Paper Series, 8410.CrossRefGoogle Scholar
Spelke, E. S., Breinlinger, K., Macomber, J., & Jacobson, K. (1992). Origins of knowledge. Psychological Review, 99, 605.CrossRefGoogle ScholarPubMed
Stanovich, K. E., & West, R. F. (2000). Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences, 23(5), 645665.CrossRefGoogle ScholarPubMed
Stark, T., & Croushore, D. (2002). Forecasting with a real-time data set for macroeconomists. Journal of Macroeconomics, 24(4), 507531.CrossRefGoogle Scholar
Starkey, P., Spelke, E. S., & Gelman, R. (1990). Numerical abstraction by human infants. Cognition, 36(2), 97127.CrossRefGoogle ScholarPubMed
Sterman, J. D. (1989). Misperceptions of feedback in dynamic decision making. Organizational Behavior and Human Decision Processes, 43(3), 301335.CrossRefGoogle Scholar
Stickgold, R. (2005). Sleep-dependent memory consolidation. Nature, 437(7063), 12721278.CrossRefGoogle ScholarPubMed
Stock, J. H., & Watson, M. W. (1998). Diffusion indexes. NBER Working Paper Series, 6702.CrossRefGoogle Scholar
Stock, J. H., (2002). Forecasting using principal components from a large number of predictors. Journal of the American Statistical Association, 97(460), 11671179.CrossRefGoogle Scholar
Stock, J. H., (2007). Forecasting in dynamic factor models subject to structural instability. In Shephard, N., & Castle, J. (Eds.), The methodology and practice of econometrics: Festschrift in honor of D. F. Hendry (pp. 173205). Oxford: Oxford University Press.Google Scholar
Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business. New York, NY: Random House.Google Scholar
Symeonidis, L., Daskalakis, G., & Markellos, R. N. (2010). Does the weather affect the stock market volatility? Finance Research Letters, 7(4), 214223.CrossRefGoogle Scholar
Tarde, G. (1902). Psychologie économique. Alcan, Félix, ed., Ancienne Libr. Germer Baillière et Cie.Google Scholar
Teglas, E., Girotto, V., Gonzalez, M., & Bonatti, L. L. (2007). Intuitions of probabilities shape expectations about the future at 12 months and beyond. Proceedings of the National Academy of Sciences of the United States of America, 104(48), 1915619159.CrossRefGoogle ScholarPubMed
Theil, H. (1952). On the time shape of economic microvariables and the Munich business test. Review of the International Statistical Institute, 20, 105120.CrossRefGoogle Scholar
Thomas, Jr., L. B. (1999). Survey measures of expected US inflation. Journal of Economic Perspectives, 13(4), 125144.CrossRefGoogle Scholar
Thorndike, E. L. (1911). Animal intelligence: Experimental studies. New York, NY: Macmillan.Google Scholar
Tooby, J., & Cosmides, L. (1992). The psychological foundations of culture. In Barkow, J., Cosmides, L., & Tooby, J. (Eds.). The adapted mind: Evolutionary psychology and the generation of culture (pp. 19136) New York, NY: Oxford University Press.CrossRefGoogle Scholar
Turk-Browne, N. B., Junge, J. A., & Scholl, B. J. (2005). The automaticity of visual statistical learning. Journal of Experimental Psychology: General, 134(4), 552564.CrossRefGoogle ScholarPubMed
Turner, J. H. (2000). On the origins of human emotions: A sociological inquiry into the evolution of human affect. Stanford, CA: Stanford University Press.CrossRefGoogle Scholar
Vanoli, A. (2005). A history of national accounting. Amsterdam: IOS Press.Google Scholar
Varley, R. A., Klessinger, N. J. C., Romanowski, C. A. J., & Siegal, M. (2005). Agrammatic but numerate. Proceedings of the National Academy of Sciences of the United States of America, 102(9), 35193524.CrossRefGoogle ScholarPubMed
Velmans, M. (1991). Is human information processing conscious? Behavioral and Brain Sciences, 14, 651726.CrossRefGoogle Scholar
Wagner, U., Gais, S., Haider, H., Verleger, R., & Born, J. (2004). Sleep inspires insight. Nature, 427(6972), 352355.CrossRefGoogle ScholarPubMed
Walker, M. P., & Stickgold, R. (2004). Sleep-dependent learning and memory consolidation. Neuron, 44(1), 121133.CrossRefGoogle ScholarPubMed
Wallsten, T. S., Budescu, D. V., Rapoport, A., Zwick, R., & Forsyth, B. (1986). Measuring the vague meanings of probability terms. Journal of Experimental Psychology: General, 115(4), 348365.CrossRefGoogle Scholar
Wilson, T. (2002). Strangers to ourselves: Discovering the adaptive unconscious. Cambridge, MA: The Belknap Press of Harvard University Press.Google Scholar
Wynn, K. (1992). Addition and subtraction by human infants. Nature, 358(5389), 749750.CrossRefGoogle ScholarPubMed
Xu, F., & Garcia, V. (2008). Intuitive statistics by 8-month-old infants. Proceedings of the National Academy of Sciences of the United States of America, 105(13), 50125015.CrossRefGoogle ScholarPubMed
Xu, F., & Spelke, E. (2000). Large number discrimination in 6-month-old infants. Cognition, 74(1).CrossRefGoogle Scholar
Yaari, M. E. (1965). Uncertain lifetime, life insurance, and the theory of the consumer. Review of Economics and Statistics, 32(2), 137150.CrossRefGoogle Scholar
Zajonc, R. B. (1965). Social facilitation. Science, 149(3681), 269274.CrossRefGoogle ScholarPubMed
Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American Psychologist, 35(2), 151.CrossRefGoogle Scholar
Zajonc, R. B. (1984). On the primacy of affect. American Psychologist, 39(2), 117123.CrossRefGoogle Scholar
Zarnowitz, V. (1985). Rational expectations and macroeconomic forecasts. Journal of Business & Economic Statistics, 3(4), 293311.Google Scholar
Zeldes, S. P. (1989). Consumption and liquidity constraints: An empirical investigation. Journal of Political Economy, 97(2), 305346.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • References
  • Richard Thomas Curtin, University of Michigan, Ann Arbor
  • Book: Consumer Expectations
  • Online publication: 05 March 2019
  • Chapter DOI: https://doi.org/10.1017/9780511791598.011
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Richard Thomas Curtin, University of Michigan, Ann Arbor
  • Book: Consumer Expectations
  • Online publication: 05 March 2019
  • Chapter DOI: https://doi.org/10.1017/9780511791598.011
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Richard Thomas Curtin, University of Michigan, Ann Arbor
  • Book: Consumer Expectations
  • Online publication: 05 March 2019
  • Chapter DOI: https://doi.org/10.1017/9780511791598.011
Available formats
×