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Michael Laver

Michael Laver

Professor of Politics
Ph.D. 1981, Liverpool; M.A. 1972, Essex; BA (Hons) 1970, Essex.

Email:

Phone:  (212) 998-8534
Office Address:  NYU Department of Politics, 19 W. 4th Street, New York, NY 10012
Office Room Number:  409

For a full list of my work, see my Vita.

Areas of Research/Interest: Analytical, computational and empirical accounts of political competition and decision-making.

Teaching
Useful Links

Select Publications:

Working Papers:

          Theoretical work in progress

  • Party competition: an agent-based model (with Ernest Sergenti). A book-length manuscript developing an agent based spatial model of party competition and dealing, among other things, with: the interaction of different decision rules deployed by different agents; multimodal distributions of citizens’ ideal points; non-policy “valence” effects on party competition; the endogenous emergence of new political parties; the evolutionary stability of combinations of decision rules; the evolution of new decision rules; endogenous citizen preferences; rigorous characterization of the output of computational models. 

  • Rigorously characterizing output from computational models of party competition (with Ernest Sergenti). We distinguish between using agent-based models (ABMs) as (a) discovery tools (b) computational responses to analytical intractability. We work towards a set of methodological standards for the computational analysis of ABMs, while maintaining a substantive focus on an aspect of party competition – the extent to which the presence of unresponsive “sticker” party at one extreme of the policy spectrum results in outcomes where more responsive parties also adopt more extreme policy positions. We find the effect on other parties of an intransigent party is greatest with moderately polarized bimodal voter densities, especially when one mode of the distribution of voter ideal points is smaller than the other.


    Empirical work in progress

  • Dublin citizens' jury. (with Damien French). APSR conference paper.
    Reports results from a citizens’ jury experiment in Dublin; analyzes treatment effects by selecting jury and control group from the Irish election study panel, with pre and post deliberation questionnaires to jurors supplemented by panel surveys on the issues deliberated, both before jury selection and nine months after. Highlights impact of “framing” effects on jury deliberation.

  • Estimating party policy positions with uncertainty, based on manifesto codings. (with Kenneth Benoit and Slava Mikhaylov). APSA conference paper.
    In order to elaborate spatial models of party competition models empirically, we need reliable and valid measurements of agents’ positions on salient policy dimensions. The primary empirical times series of estimated party positions in many countries derives from the content analysis of party manifestos by the Comparative Manifesto Project (CMP). Despite widespread use of the CMP data, the level of error in the CMP estimates has never been estimated or even fully characterized. We remedy this situation, characterizing some of the error processes involved in generating CMP data, then using bootstrapped analyses of coded quasi-sentences to simulate these. Using our estimates of these errors, we demonstrate ways to correct otherwise biased inferences derived from statistical analyses of CMP data.   
    Coder reliability and misclassification in Comparative Manifesto Project codings
    (with Slava Mikhaylov and Kenneth Benoit)
              

           Forthcoming papers