Generalized indirect inference for discrete choice models
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DOI: 10.1016/j.jeconom.2018.03.010
Abstract: This paper develops and implements a practical simulation-based method for estimating dynamic discrete choice models. The method, which can accommodate lagged dependent variables, serially correlated errors, unobserved variables, and many alternatives, builds on the ideas… read more here.
Keywords: indirect inference; choice models; model; choice ... See more keywords
Semiparametric estimation of dynamic discrete choice models
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DOI: 10.1016/j.jeconom.2020.01.024
Abstract: Abstract We consider the estimation of dynamic binary choice models in a semiparametric setting, in which the per-period utility functions are known up to a finite number of parameters, but the distribution of utility shocks… read more here.
Keywords: estimation; estimation dynamic; choice models; dynamic discrete ... See more keywords
Solving dynamic discrete choice models using smoothing and sieve methods
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DOI: 10.1016/j.jeconom.2020.02.007
Abstract: We propose to combine smoothing, simulations and sieve approximations to solve for either the integrated or expected value function in a general class of dynamic discrete choice (DDC) models. We use importance sampling to approximate… read more here.
Keywords: sieve methods; solving dynamic; choice models; dynamic discrete ... See more keywords
Estimating multinomial choice models with unobserved choice sets
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DOI: 10.1016/j.jeconom.2021.06.004
Abstract: Abstract This paper proposes a new approach to estimating multinomial choice models when each consumer’s actual choice set is unobservable but could be bounded by two known sets, i.e., the largest and smallest possible choice… read more here.
Keywords: multinomial choice; choice models; models unobserved; choice sets ... See more keywords
Entropy-Based Subjective Choice Models
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DOI: 10.1109/tkde.2020.3012061
Abstract: A method to mimic a decision-maker’s (DM’s) relativistic evaluation of subjective utility for an attribute value is presented. Based on such utility values, probabilistic models that can yield a DM’s choice probabilities for different alternatives… read more here.
Keywords: based subjective; subjective choice; choice models; choice ... See more keywords
Proximity and waiting times in choice models for outpatient cardiological visits in Italy
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DOI: 10.1371/journal.pone.0203018
Abstract: We apply mixed logit regression to investigate patients' choice of non-emergency outpatient cardiovascular specialists in Tuscany, Italy. We focused on the effects of travel time and waiting time. Results reveal that patients prefer clinics nearby… read more here.
Keywords: proximity waiting; models outpatient; waiting times; times choice ... See more keywords