Monotone Comparative Statics for Models of Politics

Dados Bibliográficos

ID6232072
AutoresScott Ashworth (0000-0002-6333-0598, Princeton University), Ethan Bueno De Mesquita (0000-0002-7960-4565)
Ano2006
Volume50
Fascículo1
Páginas214-231
Data de publicação2006-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAmerican Journal of Political Science (JOURNAL)
Identificadores do periódicoISSN: 0092-5853 • E-ISSN: 1540-5907
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1540-5907.2006.00180.x
OpenAlexW2143578961
IdiomaEN
Citações recebidas28
Referências citadas23

We elucidate a powerful yet simple method for deriving comparative statics conclusions for a wide variety of models: Monotone Comparative Statics (Milgrom and Shannon 1994). Monotone comparative static methods allow researchers to extract robust, substantive empirical implications from formal models that can be tested using ordinal data and simple nonparametric tests. When these methods apply, they can replace a diverse range of more technically difficult mathematics (facilitating richer, more realistic models), assumptions that are hard to understand or justify substantively (highlighting the political intuitions underlying a model's results), and a complicated set of methods for extracting implications from models. We present an accessible introduction to the central monotone comparative statics results and a series of practical tools for using these techniques in applied models (with reference to original sources, when relevant). Throughout we demonstrate the techniques with examples drawn from political science

Comparative statics · Econometrics · Economics · Epistemology · Mathematical economics · Mathematical optimization · Microeconomics · Monotone polygon · Nonparametric statistics · Range (aeronautics · Set (abstract data type · Simple (philosophy · Statics · Variety (cybernetics · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · Engineering · Mathematics · Political Conflict and Governance · Qualitative Comparative Analysis Research

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