Identification and Estimation of Stochastic Bargaining Models, Third Version

Stochastic sequential bargaining models (Merlo and Wilson (1995, 1998)) have found wide applications in different fields including political economy and macroeconomics due to their flexibility in explaining delays in reaching an agreement. This paper presents new results in nonparametric identification and estimation of such models under different data scenarios.

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Year of publication:	2010-03-01
Authors:	Merlo, Antonio ; Tang, Xun
Institutions:	Department of Economics, University of Pennsylvania
Subject:	Nonparametric identification \| non-cooperative bargaining \| stochastic sequential bargaining \| rationalizable counterfactual outcomes

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Extent:	application/pdf
Series:	PIER Working Paper Archive.
Type of publication:	Book / Working Paper
Notes:	57 pages
Classification:	C14 - Semiparametric and Nonparametric Methods ; C35 - Discrete Regression and Qualitative Choice Models ; C73 - Stochastic and Dynamic Games ; C78 - Bargaining Theory; Matching Theory
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008914399