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Identification and Estimation of Stochastic Bargaining Models
Journal article   Open access   Peer reviewed

Identification and Estimation of Stochastic Bargaining Models

Antonio Merlo and Xun Tang
Econometrica, v 80(4), pp 1563-1604
Jul 2012
url
http://hdl.handle.net/10.3982/ECTA9167View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Business & Economics Economics Mathematical Methods In Social Sciences Mathematics Mathematics, Interdisciplinary Applications Physical Sciences Science & Technology Social Sciences Social Sciences, Mathematical Methods Statistics & Probability
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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Collaboration types
Domestic collaboration
Web of Science research areas
Economics
Mathematics, Interdisciplinary Applications
Social Sciences, Mathematical Methods
Statistics & Probability
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