Regression With Social Data

 

This volume introduces single-equation regression models that bring a variety of similar techniques under one umbrella—the generalized linear model. Topics covered include simple and multiple linear regression, probit and logistic regression, truncated, censored, and sample-selected regression, regression models for an event count, and regression with survival data. Rigor is carefully and purposefully coupled with accessibility throughout to make the material easier to understand. Over 300 exercises, along with 10 downloadable data sets and an instructor's solutions manual, also enhance its value as a pedagogical resource.