CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS

DOI10.1142/S1793536911000738OpenAlexW2102904696MaRDI QIDQ2890512

Stan Lipovetsky

Publication date: 11 June 2012

Published in: Advances in Adaptive Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793536911000738

zbMATH Keywords

elasticitymulticollinearitybinary conditional and multinomial logits

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

A Graphical Tool for Interpreting Regression Coefficients of Trinomial Logit Models ⋮ Analytical closed-form solution for binary logit regression by categorical predictors

Uses Software

• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• PCA and SVD with nonnegative loadings
• Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial-logit forms
• BRADLEY–TERRY CHOICE PROBABILITY IN MAXIMUM LIKELIHOOD AND EIGENPROBLEM SOLUTIONS
• Specification Tests for the Multinomial Logit Model
• Discrete Choice Methods with Simulation
• Limit Theorems for Estimating the Parameters of Differentiated Product Demand Systems

This page was built for publication: CONDITIONAL AND MULTINOMIAL LOGITS AS BINARY LOGIT REGRESSIONS