Econometric Analysis of Count Data
The “count data” field has further—ourished since the previous edition of this book was published in 2003. The development of new methods has not slowed down by any means, and the application of existing ones in applied work has expanded in many areas of social science research. This, in itself, would be reason enough for updating the material in this book, to ensure that it continues to provide a fair representation of the current state of research. In addition, however, I have seized the opportunity to undertake some major changes to the organization of the book itself. The core material on cross-section models for count data is now presented in four chapters, rather than in two as previously. The first of these four chapters introduces the Poissonregressionmodel,anditsestimationbymaximumlikelihoodorpseudo maximum likelihood. The second focuses on unobserved heterogeneity, the third on endogeneity and non-random sample selection. The fourth chapter provides an extended and unified discussion of zeros in count data models. This topic deserves, in my view, special emphasis, as it relates to aspects of modeling and estimation that are specific to counts, as opposed to general exponential regression models for non-negative dependent variables. Count distributions put positive probability mass on single o- comes, and thus offer a richer set of interesting inferences.
1100029152
Econometric Analysis of Count Data
The “count data” field has further—ourished since the previous edition of this book was published in 2003. The development of new methods has not slowed down by any means, and the application of existing ones in applied work has expanded in many areas of social science research. This, in itself, would be reason enough for updating the material in this book, to ensure that it continues to provide a fair representation of the current state of research. In addition, however, I have seized the opportunity to undertake some major changes to the organization of the book itself. The core material on cross-section models for count data is now presented in four chapters, rather than in two as previously. The first of these four chapters introduces the Poissonregressionmodel,anditsestimationbymaximumlikelihoodorpseudo maximum likelihood. The second focuses on unobserved heterogeneity, the third on endogeneity and non-random sample selection. The fourth chapter provides an extended and unified discussion of zeros in count data models. This topic deserves, in my view, special emphasis, as it relates to aspects of modeling and estimation that are specific to counts, as opposed to general exponential regression models for non-negative dependent variables. Count distributions put positive probability mass on single o- comes, and thus offer a richer set of interesting inferences.
119.99
In Stock
5
1
Econometric Analysis of Count Data
320
Econometric Analysis of Count Data
320Hardcover(Fifth Edition 2008)
$119.99
119.99
In Stock
Product Details
| ISBN-13: | 9783540776482 |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Publication date: | 04/08/2008 |
| Edition description: | Fifth Edition 2008 |
| Pages: | 320 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.03(d) |
From the B&N Reads Blog