Semiparametric estimation of the random utility model with rank-ordered choice data
نویسندگان
چکیده
منابع مشابه
Fuzzy Random Utility Choice Models: The Case of Telecommuting Suitability
Random utility models have been widely used in many diverse fields. Considering utility as a random variable opened many new analytical doors to researchers in explaining behavioral phenomena. Introducing and incorporating the random error term into the utility function had several reasons, including accounting for unobserved variables. This paper incorporates fuzziness into random utility mode...
متن کاملA Rank-Dependent Expected Utility Model for Strategic Route Choice with Stated Preference Data
Route choice behavior under real-time traffic information needs to be adequately modeled for the proper analysis of a transportation system in the presence of Advanced Traveler Information Systems (ATIS). This paper focuses on strategic route choice, where a traveler is able to plan ahead for traffic information that s/he will receive in the future. A stated preference (SP) survey was conducted...
متن کاملa study on insurer solvency by panel data model: the case of iranian insurance market
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
Semiparametric Estimation of Brand Choice Behavior
Methodist University for their comments and suggestions, and Ulrich Doraszelski for his research assistance in the programming of the simulations. Matzkin gratefully acknowledges the support of NSF through grant #SBR-9410182. Abstract In the existing marketing literature, there does not seem to be a widely accepted answer to the question: do consumers react differently to a reduction in price a...
متن کاملEstimation in semiparametric models with missing data
This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random. The semiparametric models allow for estimating functions that are non-smooth with respect to the parameter. We propose a nonparametric imputation method for the missing values, which then leads to imputed estimating equations for the finite...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2019
ISSN: 0304-4076
DOI: 10.1016/j.jeconom.2019.03.003