Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks

Peter Arcidiacono, Attila Gyetvai, Arnaud Maurel and Ekaterina S. Jardim

No 30655, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper applies some of the key insights of dynamic discrete choice models to continuous-time job search models. We propose a novel framework that incorporates preference shocks into search models, resulting in a tight connection between value functions and conditional choice probabilities. Including preference shocks allows us to establish constructive identification of all the model parameters. Our method also makes it possible to estimate rich nonstationary job search models in a simple and tractable way, without having to solve any differential equations. We apply our framework to rich longitudinal data from Hungarian administrative records, allowing for nonstationarities in offer arrival rates, wage offers, and in the flow payoff of unemployment. Longer unemployment durations are associated with substantially worse wage offers and lower offer arrival rates, which results in accepted wages falling over time.

JEL-codes: C59 J62 J64 (search for similar items in EconPapers)
Date: 2022-11
New Economics Papers: this item is included in nep-dcm, nep-ecm and nep-lab
Note: LS TWP
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Working Paper: Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks (2022)
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