Journal article
New results on the identification of stochastic bargaining models
Journal of econometrics, v 209(1), pp 79-93
01 Mar 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We present new identification results for stochastic sequential bargaining models when the data only reports the time of agreement and the evolution of observable states. With no information on the stochastic surplus available for allocation or how it is allocated under agreement, we recover the latent surplus process, the distribution of unobservable states, and the equilibrium outcome in counterfactual contexts. The method we propose, which is constructive and original, can also be adapted to establish identification in general optimal stopping models. (C) 2018 Elsevier B.V. All rights reserved.
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Details
- Title
- New results on the identification of stochastic bargaining models
- Creators
- Antonio Merlo - Rice UniversityXun Tang - Rice University
- Publication Details
- Journal of econometrics, v 209(1), pp 79-93
- Publisher
- Elsevier
- Number of pages
- 15
- Grant note
- SES-1448257 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000460197300005
- Scopus ID
- 2-s2.0-85059228250
- Other Identifier
- 991022026858104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Economics
- Mathematics, Interdisciplinary Applications
- Social Sciences, Mathematical Methods