Generalized Integer-Valued Autoregression
The integer-valued AR(1) model is generalized to encompass some of the more likely features of economic time series of count data. The generalizations come at the price of loosing exact distributional properties. For most specifications the first and second order both conditional and unconditional moments can be obtained. Hence estimation, testing and forecasting are feasible and can be based on least squares or GMM techniques. An illustration based on the number of plants within an industrial sector is considered.
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|Date of creation:||14 Apr 1999|
|Date of revision:|
|Publication status:||Published in Econometric Reviews, 2001, pages 425-443.|
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