Abstract
The Poisson regression model is the benchmark model for count data in much the same way as the normal linear model is the bench-mark for continuous data. Early references in econometrics include Gilbert (1982), Hausman, Hall and Griliches (1984), and Cameron and Trivedi (1986). Since then, both methodological contributions and applications of existing methods have proliferated (see also Cameron and Trivedi, 1998). A comprehensive account of the methodological state of the art constitutes the main focus this book. Applications are discussed in Chap. 7 where a selection of applied studies is presented by subject area, covering fields as diverse as accidents, health, demography, marketing and management, and labor mobility.
Keywords
Maximum Likelihood Estimator Econometric Modeling Unobserved Heterogeneity Poisson Model Poisson Regression ModelPreview
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