2016
DOI: 10.1093/restud/rdw012
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Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition

Abstract: and Yale for useful comments. Timothy Schwuchow provided excellent research assistance. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 78 publications
(80 citation statements)
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“…These numbers are calculated for the population who in 2004 lived in New Orleans and had a home mortgage, the best available proxy for home ownership, using quarterly residence-location data from the NYFRB Equifax Consumer Credit Panel. 26 For recent advances in dealing with large state space problems in dynamic discrete-choice settings, see, for example, Arcidiacono et al (2016). where z j(i) t γ captures heterogeneity in amenity values across blocks based on predetermined block observable characteristics (z), including flood exposure, pre-Katrina demographic composition, and a linear time trend to capture city-wide improvements in infrastructure. 27 b j ∼ N(0 σ 2 b ) captures heterogeneity in block amenity values unobservable to the researcher.…”
Section: Exogenous Neighborhood Amenitiesmentioning
confidence: 99%
See 1 more Smart Citation
“…These numbers are calculated for the population who in 2004 lived in New Orleans and had a home mortgage, the best available proxy for home ownership, using quarterly residence-location data from the NYFRB Equifax Consumer Credit Panel. 26 For recent advances in dealing with large state space problems in dynamic discrete-choice settings, see, for example, Arcidiacono et al (2016). where z j(i) t γ captures heterogeneity in amenity values across blocks based on predetermined block observable characteristics (z), including flood exposure, pre-Katrina demographic composition, and a linear time trend to capture city-wide improvements in infrastructure. 27 b j ∼ N(0 σ 2 b ) captures heterogeneity in block amenity values unobservable to the researcher.…”
Section: Exogenous Neighborhood Amenitiesmentioning
confidence: 99%
“… For recent advances in dealing with large state space problems in dynamic discrete‐choice settings, see, for example, Arcidiacono et al (). …”
mentioning
confidence: 99%
“…First, among many papers that study entry, Arcidiacono, Bayer, Blevins, and Ellickson (2015) is the most closely related work in terms of modeling, because they also consider entry dynamics of oligopolistic chain stores. Whereas their main objective is to propose and illustrate the use of a continuous-time framework, we focus on addressing unobserved market heterogeneity and assessing the implications of cannibalization and preemption on market structure.…”
Section: Related Literaturementioning
confidence: 99%
“…Recent papers propose different approaches to deal with this dimensionality problem in the state space. Arcidiacono et al (2013) present a continuous-time dynamic game of spatial competition in a retail industry and propose an estimation method of this model. The continuous-time assumption eliminates the curse of dimensionality associated to integration over the state space.…”
Section: Computationmentioning
confidence: 99%