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The Likelihood of Mixed Hitting Times: Replication Package

Authors: Abbring, Jaap H.; Salimans, Tim;

The Likelihood of Mixed Hitting Times: Replication Package

Abstract

This MATLAB code replicates the numerical results in Abbring and Salimans (2021). This covers the computation of the likelihood of the mixed hitting-time (MHT) model, maximum likelihood (ML) estimation of parametric versions of this model, and an application to the analysis of Kennan's (1985) strike data. Please see the public Github repository at https://github.com/jabbring/mht-likelihood for details and the latest code and documentation. Abbring, Jaap H., and Tim Salimans (2021), “The likelihood of mixed hitting times”, Journal of Econometrics, 223, 361-375. doi:10.1016/j.jeconom.2019.08.017. arXiv:1905.03463 [econ.EM]. Kennan, John (1985), "The duration of contract strikes in U.S. manufacturing", Journal of Econometrics, 28, 5–28. We welcome the use of this software under an MIT license. © 2020 Jaap H. Abbring and Tim Salimans

The research of Jaap Abbring is financially supported by the Dutch Research Council (NWO) through Vici grant 453-11-002.

Related Organizations
Keywords

mixture, strike duration, Lévy process, Mellin's inverse formula, optimal stopping, Laplace transform, first passage time, identification, duration analysis, maximum likelihood

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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