Identification and Estimation of Stochastic Bargaining Models

Antonio Merlo, Xun Tang

    Research output: Contribution to journalArticlepeer-review


    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.

    Original languageEnglish (US)
    Pages (from-to)1563-1604
    Number of pages42
    Issue number4
    StatePublished - Jul 2012


    • Noncooperative bargaining
    • Nonparametric identification and estimation
    • Rationalizable counterfactual outcomes
    • Stochastic sequential bargaining

    ASJC Scopus subject areas

    • Economics and Econometrics

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