Using Penalized Likelihood to Select Parameters in a Random Coefficients Multinomial Logit Model

doi 10.1920/wp.cem.2019.5019

Full Text

Abstract

Available in

Date

October 15, 2019

Authors

Joel L. Horowitz

Publisher

The IFS

Related search

A Self-Consistency Approach to Multinomial Logit Model With Random Effects

Journal of Statistical Planning and Inference

Applied Mathematics

English

The Random Coefficients Logit Model Is Identified

Journal of Econometrics

Philosophy of Science

Applied Mathematics

English

Estimation of Multinomial Logit Models With Unobserved Heterogeneity Using Maximum Simulated Likelihood

English

Shrinkage Estimation in the Random Parameters Logit Model

Open Journal of Statistics

English

Multinomial Logit Model of Housing Demand in Poland

Real Estate Management and Valuation

English

Specification Tests for the Multinomial Logit Model

English

Multinomial Logit Models

English

Multilevel Multinomial Logit Model to Study Individual Migration Decision in Viet Nam

Science & Technology Development Journal - Economics - Law and Management

Italian

Nonstationary Spatial Modeling Using Penalized Likelihood

Statistica Sinica

English