Functional form and heterogeneity in models for count data

著者

書誌事項

Functional form and heterogeneity in models for count data

William Greene

（Foundations and trends in econometrics, 1:2 (2005)）

Now Publishers, c2007

大学図書館所蔵 件 / 全5件

この図書・雑誌をさがす

注記

"This book is originally published as Foundations and trends in econometrics, volume 1 issue 2 (2005)"--Back cover

Includes bibliographical references (p. 105-110)

内容説明・目次

内容説明

Functional Form and Heterogeneity in Models for Count Data surveys practical extensions of the Poisson and negative binomial (NB) models that practitioners can employ to refine the specifications or broaden their reach into new situations. The author resolves some inconsistencies of the panel data models with other more familiar results for the linear regression model. It focuses on two large issues: the accommodation of overdispersion and heterogeneity in the basic count framework and the functional form of the conditional mean and the extension of models of heterogeneity to models for panel data and sources of correlation across outcomes. The first is more straightforward since, in principle, these are elements of the conditional variance of the distribution of counts that can be analyzed apart from the conditional mean. Robust inference methods for basic models can be relied upon to preserve the validity of estimation and inference procedures. The second feature motivates the development of more intricate models such as the two part, panel and bivariate models presented in the text.

目次

  • Introduction
  • Basic Function Forms of Count Data Models
  • The Two Part Models
  • Models for Panel Data
  • The Bivariate Poisson Model
  • Applications
  • Conclusions: Appendices
  • References

「Nielsen BookData」 より

関連文献： 1件中  1-1を表示

詳細情報

ページトップへ