The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.
"synopsis" may belong to another edition of this title.
Ken Kollman is Associate Professor of Political Science and Senior Associate Research Scientist at the Center for Political Studies, ISR, at the University of Michigan.
Paarsch and Hong have done a masterful job bringing together the mathematics, economic theory, econometrics, and computational tools necessary to analyze auction data. The result is an excellent source for both auction specialists and others who want to learn about this important area of research.
―Kenneth L. Judd, Hoover Institution, Stanford UniversityThe particular promise of the computational approach to modeling social phenomena is the extent to which it attenuates the need to sacrifice empirical realism for analytical tractability. The papers collected in this volume both exemplify the approach at a very high level and deliver on its promise. As such, the book is both a collection of provocative contributions to our understanding of collective decision-making and a stimulus for further investment in computational models of political economy.
―DAvid Austen-Smith, Ethel and John Lindgren Professor of Political Science and Economics, Northwestern UniversityThe pathbreaking papers in this collection clearly demonstrate the power of computational techniques for analyzing important questions in political science.
―Kenneth L. Judd, Hoover Institution, Stanford University"About this title" may belong to another edition of this title.
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