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Estimating Party Positions across Countries and Time—A Dynamic Latent Variable Model for Manifesto Data

  • Thomas König (a1), Moritz Marbach (a2) and Moritz Osnabrügge (a3)
Abstract

This article presents a new method for estimating positions of political parties across country- and time-specific contexts by introducing a latent variable model for manifesto data. We estimate latent positions and exploit bridge observations to make the scales comparable. We also incorporate expert survey data as prior information in the estimation process to avoid ex post facto interpretation of the latent space. To illustrate the empirical contribution of our method, we estimate the left-right positions of 388 parties competing in 238 elections across twenty-five countries and over sixty years. Compared to the puzzling volatility of existing estimates, we find that parties more modestly change their left-right positions over time. We also show that estimates without country- and time-specific bias parameters risk serious, systematic bias in about two-thirds of our data. This suggests that researchers should carefully consider the comparability of party positions across countries and/or time.

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e-mail: koenig@uni-mannheim.de (corresponding author)
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

J. Adams , and S. Merrill 2006. Why small, centrist third parties motivate policy divergence by major parties. American Political Science Review 100(3): 403–17.

J. Adams , M. Clark , L. Ezrow , and G. Glasgow 2006. Are niche parties fundamentally different from mainstream parties? The causes and the electoral consequences of western European parties' policy shifts, 1976–1998. American Journal of Political Science 50: 513–29.

J. Adams , and Z. Somer-Topcu 2009. Policy adjustment by parties in response to rival parties' policy shifts: Spatial theory and the dynamics of party competition in twenty-five post-war democracies. British Journal of Political Science 39: 825–46.

R. Alvarez , and J. Nagler 2004. Party system compactness: Measurement and consequences. Political Analysis 12(1): 4662.

M. A. Bailey 2007. Comparable preference estimates across time and institutions for the court, Congress, and presidency. American Journal of Political Science 51(3): 433–48.

R. Bakker 2009. Re-measuring left-right: A comparison of SEM and Bayesian measurement models for extracting left-right party placements. Electoral Studies 28(3): 413–21.

K. Benoit , and M. Laver 2007. Estimating party policy positions: Comparing expert surveys and hand-coded content analysis. Electoral Studies 26(1): 90107.

K. Benoit , and M. Laver 2012. The dimensionality of political space: Epistemological and methodological considerations. European Union Politics 13(2): 194218.

K. Benoit , and M. Laver 2012. The dimensionality of political space: Epistemological and methodological considerations. European Union Politics 13(2): 194218.

K. Benoit , M. Laver , and S. Mikhaylov 2009. Treating words as data with error: Uncertainty in text statements of policy positions. American Journal of Political Science 53(2): 495513.

K. Benoit , M. Laver , W. Lowe , and S. Mikhaylov 2012. How to scale coded text units without bias: A response to Gemenis. Electoral Studies 31: 605–8.

M. Bernhardt , and D. Ingberman 1985. Candidate reputations and the “incumbency effect”. Journal of Public Economics 27(1): 4767.

A. Blais , D. Blake , and S. Dion 1993. Do parties make a difference? Parties and the size of government in liberal democracies. American Journal of Political Science 37(1): 4062.

I. Budge 1994. A new spatial theory of party competition: Uncertainty, ideology and policy equilibria viewed comparatively and temporally. British Journal of Political Science 24(4): 443–67.

B. Canes-Wrone , and J.-K. Park 2012. Electoral business cycles in OECD countries. American Political Science Review 106(1): 103–22.

R. Corbett 1998. The European parliaments role in closer EU integration. Basingstoke, UK: Macmillan Press.

E. Dinas , and K. Gemenis 2010. Measuring parties' ideological positions with manifesto data: A critical evaluation of the competing methods. Party Politics 16(4): 427–50.

M. Elff 2013. A dynamic state-space model of coded political texts. Political Analysis 21(2): 217–32.

J. Enelow , and M. Munger 1993. The elements of candidate reputation: The effect of record and credibility on optimal spatial location. Public Choice 77: 757–72.

L. Ezrow 2008. Parties' policy programmes and the dog that didn't bark: No evidence that proportional systems promote extreme party positioning. British Journal of Political Science 38(3): 479–97.

S. Franzmann , and A. Kaiser 2006. Locating political parties in policy space. Party Politics 12(2): 163–88.

M. J. Gabel , and J. D. Huber 2000. Putting parties in their place: Inferring party left-right ideological positions from party manifestos data. American Journal of Political Science 44(1): 94103.

A. Gelman , and D. B. Rubin 1992. Inference from iterative simulation using multiple sequences. Statistical Science 7(4): 457–72.

K. Gemenis 2012. What to do (and not to do) with the comparative manifesto project data. Political Studies 61 (S1): 323.

G. Glasgow 2001. Mixed logit models for multiparty elections. Political Analysis 9(2): 116–36.

S. N. Golder 2006. Pre-electoral coalition formation in parliamentary democracies. British Journal of Political Science 36: 193212.

J. Grimmer , and B. M. Stewart 2013. Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis published online (doi:10.1093/pan/mps028).

T. Groseclose , S. D. Levitt , and J. M. Snyder 1999. Comparing interest group scores across time and chambers: Adjusted ADA scores for the U.S. Congress. American Political Science Review 93(1): 3350.

D. E. Ho , and K. M. Quinn 2008. Measuring explicit political positions of media. Quarterly Journal of Political Science 3(4): 353–77.

L. Hooghe , R. Bakker , A. Brigevich , C. De Vries , E. Edwards , G. Marks , J. Rovny , M. Steenbergen , and M. Vachudova 2010. Reliability and validity of the 2002 and 2006 Chapel Hill expert surveys on party positioning. European Journal of Political Research 49: 687703.

L. Hooghe , R. Bakker , A. Brigevich , C. De Vries , E. Edwards , G. Marks , J. Rovny , M. Steenbergen , and M. Vachudova 2010. Reliability and validity of the 2002 and 2006 Chapel Hill expert surveys on party positioning. European Journal of Political Research 49: 687703.

D. Ingberman 1989. Reputational dynamics in spatial competition. Mathematical and Computer Modelling 12(4): 479–96.

S. Jackman 2009. Bayesian analysis for the social sciences. New York: Wiley.

O. Kedar 2005. How diffusion of power in parliaments affects voter choice. Political Analysis 13(4): 410–29.

H. Kim , and R. C. Fording 2002. Government partisanship in western democracies, 1945–1998. European Journal of Political Research 41(2): 187206.

T. König , and B. Luig 2012. Party ideology and legislative agendas: Estimating contextual policy positions for the study of EU decision-making. European Union Politics 13: 604–25.

T. König , M. Marbach , and M. Osnabrügge 2013. Replication data for: Estimating party positions across countries and time—a dynamic latent variable model for manifesto data. http://hdl.handle.net/1902.1/29312 (accessed February 28, 2013) IQSS Dataverse Network.

M. Laver , and I. Budge 1992. Party policy and government coalitions. Houndmills, UK: Macmillan.

M. Laver , K. Benoit , and J. Garry 2003. Extracting policy positions from political texts using words as data. American Political Science Review 97(2): 311–31.

J. Lewis , and G. King 1999. No evidence on directional vs. proximity voting. Political Analysis 8(1): 2133.

W. Lowe , and K. Benoit Forthcoming 2013. Validating estimates of latent traits from textual data using human judgement as a benchmark. Political Analysis.

W. Lowe , and K. Benoit Forthcoming 2013. Validating estimates of latent traits from textual data using human judgement as a benchmark. Political Analysis.

W. Lowe , K. Benoit , S. Mikhaylov , and M. Laver 2011. Scaling policy preferences from coded political texts. Legislative Studies Quarterly 36(1): 123–55.

Z. Maoz , and Z. Somer-Topcu 2010. Political polarization and cabinet stability in multiparty systems: A social networks analysis of European parliaments, 1945–98. British Journal of Political Science 40: 805–33.

A. D. Martin , and K. M. Quinn 2002. Dynamic ideal point estimation via Markov chain Monte Carlo for the U.S. Supreme Court, 1953–1999. Political Analysis 10(2): 134–53.

L. W. Martin , and R. T. Stevenson 2001. Government formation in parliamentary democracies. American Journal of Political Science 45(1): 3350.

M. D. McDonald , S. M. Mendes , and M. Kim 2007. Cross-temporal and cross-national comparisons of party left-right positions. Electoral Studies 26(1): 6275.

S. Mikhaylov , M. Laver , and K. Benoit 2012. Coder reliability and misclassification in the human coding of party manifestos. Political Analysis 20(1): 7891.

H. V. Milner , and B. Judkins 2004. Partisanship, trade policy, and globalization: Is there a left-right divide on trade policy? International Studies Quarterly 48(1): 95119.

M. Nowak , and K. Sigmund 1993. A strategy for win-stay, lose-shift that outperforms tit-for-tat in the prisoner's dilemma. Nature 364(56): 5658.

P. Pierson 2000. Increasing returns, path dependence, and the study of politics. American Political Science Review 94(2): 251–67.

M. Plummer 2003. JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing.

K. T. Poole , and H. Rosenthal 1985. A spatial model for legislative roll call analysis. American Journal of Political Science 29(2): 357–84.

K. M. Quinn 2004. Bayesian factor analysis for mixed ordinal and continuous responses. Political Analysis 12(4): 338–53.

B. Shor , and N. McCarty 2011. The ideological mapping of American legislatures. American Political Science Review 105: 530–51.

J. B. Slapin , and S.-O. Proksch 2008. A scaling model for estimating time-series party positions from texts. American Journal of Political Science 52: 705–22.

Z. Somer-Topcu 2009. Timely decisions: The effects of past national elections on party policy change. Journal of Politics 71(1): 238–48.

M. R. Steenbergen , and G. Marks 2007. Evaluating expert surveys. European Journal of Political Research 46(3): 347–66.

H. Stoll 2010. Elite-level conflict salience and dimensionality in Western Europe: Concepts and empirical findings. West European Politics 33(3): 445–73.

M. Tavits , and N. Letki 2009. When left is right: Party ideology and policy in post-communist Europe. American Political Science Review 103: 555–69.

G. Tsebelis 1999. Veto players and law production in parliamentary democracies: An empirical analysis. American Political Science Review 93: 591608.

G. Tsebelis 2002. Veto players: How political institutions work. Princeton, NJ: Princeton University Press.

P. V. Warwick 1998. Policy distance and parliamentary government. Legislative Studies Quarterly 23(3): 319–45.

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Political Analysis
  • ISSN: 1047-1987
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