{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T08:05:39Z","timestamp":1782979539848,"version":"3.54.5"},"reference-count":75,"publisher":"The Econometric Society","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["QE"],"abstract":"<jats:p>This paper considers the theoretical, computational, and econometric properties of continuous\u2010time dynamic discrete choice games with stochastically sequential moves, introduced by Arcidiacono, Bayer, Blevins, and Ellickson (2016). We consider identification of the rate of move arrivals, which was assumed to be known in previous work, as well as a generalized version with heterogeneous move arrival rates. We reestablish conditions for existence of a Markov perfect equilibrium in the generalized model and consider identification of the model primitives with only discrete\u2010time data sampled at fixed intervals. Three foundational example models are considered: a single agent renewal model, a dynamic entry and exit model, and a quality ladder model. Through these examples we examine the computational and statistical properties of estimators via Monte Carlo experiments and an empirical example using data from Rust (1987). The experiments show how parameter estimates behave when moving from continuous\u2010time data to discrete\u2010time data of decreasing frequency and the computational feasibility as the number of firms grows. The empirical example highlights the impact of allowing decision rates to vary.<\/jats:p>","DOI":"10.3982\/qe2281","type":"journal-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T12:56:21Z","timestamp":1769604981000},"page":"254-296","source":"Crossref","is-referenced-by-count":1,"title":["Identification and estimation of continuous\u2010time dynamic discrete choice games"],"prefix":"10.3982","volume":"17","author":[{"given":"Jason R.","family":"Blevins","sequence":"first","affiliation":[{"name":"Department of Economics, The Ohio State 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