Stata Tip 52: Generating Composite Categorical Variables

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

Speaking Stata: Graphing categorical and compositional data

Abstract. A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available. After a stacking trick for binary responses is explained, bar charts and related displays for cross-tabulations are discussed in detail. Tips and tricks are introduced for plotting cum...

Categorical Variables in Dea

If a DEA model has a mix of categorical and continuous variables a standard LP formulation can still be used by entering all combinations of categorical and continuous variables as different types of inputs and/or outputs. Most units will then not have positive levels of all variables. The implications for selection of peers are investigated. Peers can have the same or fewer types of inputs tha...

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...

Structural Equation Modeling: Categorical Variables

In the behavioral sciences, response variables are often noncontinuous, common types being dichotomous, ordinal or nominal variables, counts and durations. Conventional structural equation models (SEMs) have thus been generalized to accommodate different kinds of responses.