2017
DOI: 10.18637/jss.v081.i11
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Nash Optimal Party Positions: The nopp R Package

Abstract: The R package nopp enables computing party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space. It accommodates alternative motivations in (each) party strategy while allowing estimation of the uncertainty around their optimal positions through Monte Carlo or bootstrap procedures.

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Cited by 3 publications
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“…We first estimate conditional logit models explaining vote choices (using both quadratic proximity and direction as ideological predictors) and then, following Adams, Merrill and Grofman (2005), we estimate the Nash equilibria for party positions using the parameters provided by our analysis. We derive Nash equilibria by using the iterative algorithm developed by Merrill and Adams (2001), as implemented in the nopp R package (Nash Optimal Party Positions) developed by Curini and Iacus (2017). The original package only deals with the proximity model, therefore we have developed a new R-project to implement the directional model.…”
Section: Introductionmentioning
confidence: 99%
“…We first estimate conditional logit models explaining vote choices (using both quadratic proximity and direction as ideological predictors) and then, following Adams, Merrill and Grofman (2005), we estimate the Nash equilibria for party positions using the parameters provided by our analysis. We derive Nash equilibria by using the iterative algorithm developed by Merrill and Adams (2001), as implemented in the nopp R package (Nash Optimal Party Positions) developed by Curini and Iacus (2017). The original package only deals with the proximity model, therefore we have developed a new R-project to implement the directional model.…”
Section: Introductionmentioning
confidence: 99%