Regression Models for Categorical and Limited Dependent Variables

Regression models for categorical dependent variables using Stata, 2nd Edition

Dependent Categorical Variables 1 Running head: DEPENDENT CATEGORICAL VARIABLES Multiple Unordered Categorical Dependent Variables in Organizational Research

A model for analyzing multiple categorical dependent variables is presented and developed for use in organizational research. A primary example occurs in the foreign market entry literature, where choice of ownership (majority, equal, or minority) and “function” (acquisition or joint venture) are simultaneously endogenous; only separate univariate ownership-based and function-based choice model...

Phylogenetic logistic regression for binary dependent variables.

We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an evolutionary model of binary traits in which trait values switch between 0 and 1 as species evolve up a phylo...

Non-parametric regression for binary dependent variables

Finite-sample properties of non-parametric regression for binary dependent variables are analyzed. Non parametric regression is generally considered as highly variable in small samples when the number of regressors is large. In binary choice models, however, it may be more reliable since its variance is bounded. The precision in estimating conditional means as well as marginal effects is invest...

Phylogenetic Regression for Binary Dependent Variables

We compare three methods for phylogenetic regression analyses designed for binary dependent variables (traits with two discrete states) both with each other and with ‘‘standard’’ methods that either ignore phylogenetic relationships or ignore the binary character of the dependent variable. In simulations designed to reveal statistical problems arising in different methods, PLogReg (Ives and Gar...