Count data models : econometric theory and an application to labor mobility
著者
書誌事項
Count data models : econometric theory and an application to labor mobility
（Lecture notes in economics and mathematical systems, 410）
Springer-Verlag, c1994
- : gw, pbk
- : us, pbk
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注記
Includes bibliographical references (p. [200]-209) and index
内容説明・目次
内容説明
This text presents statistical methods for the analysis of events. The primary focus is on single equation cross-section models. It addresses both the methodology and the practice of the subject and provides both a synthesis of a diverse body of literature and a contribution to the progress of the methodology, establishing several new results and introducing new models. Starting from the standard Poisson regression model as a benchmark, the causes, symptoms and consequences of misspecification are worked out. Both parametric and semi-parametric alternatives are discussed. While semi-parametric models allow for robust interference, parametric models can identify features of the underlying data generation process.
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