Advertisement

Introduction

  • Rainer Winkelmann

Abstract

In this book we consider regression models for count dependent variables, i.e., dependent variables that take the values y = 0,1, 2,... without explicit upper limit. Regression analysis, narrowly defined, attempts to explain variations in the conditional expectation of y with the help of variation in explanatory variables x. More broadly defined, regression analysis includes the estimation of conditional distribution functions of y given x.

Keywords

Count Data Poisson Regression Model Markov Chain Monte Carlo Simulation Count Data Model Conditional Distribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Rainer Winkelmann
    • 1
  1. 1.Institute for the Study of Labor (IZA)BonnGermany

Personalised recommendations