Amanote Research

Amanote Research

    RegisterSign In

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

doi 10.1920/wp.cem.2019.5019
Full Text
Open PDF
Abstract

Available in full text

Date

October 15, 2019

Authors
Lars NesheimJoel L. Horowitz
Publisher

The IFS


Related search

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

Journal of Statistical Planning and Inference
UncertaintyApplied MathematicsStatisticsProbability
2010English

The Random Coefficients Logit Model Is Identified

Journal of Econometrics
Philosophy of ScienceApplied MathematicsEconomicsEconometricsHistory
2012English

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

Stata Journal
Mathematics
2006English

Shrinkage Estimation in the Random Parameters Logit Model

Open Journal of Statistics
2016English

Multinomial Logit Model of Housing Demand in Poland

Real Estate Management and Valuation
ManagementFinanceMarketingEconomicsStrategyEconometrics
2015English

Specification Tests for the Multinomial Logit Model

Econometrica
EconomicsEconometrics
1984English

Multinomial Logit Models

English

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

Science & Technology Development Journal - Economics - Law and Management
2019English

Nonstationary Spatial Modeling Using Penalized Likelihood

Statistica Sinica
UncertaintyStatisticsProbability
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy