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.
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© 2000 Springer-Verlag Berlin Heidelberg
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Winkelmann, R. (2000). Introduction. In: Econometric Analysis of Count Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04149-9_1
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DOI: https://doi.org/10.1007/978-3-662-04149-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-04151-2
Online ISBN: 978-3-662-04149-9
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