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We present motivation and new commands for modeling count data. While our focus is to present new commands for estimating count data, we also discuss generalized binomial regression and present the zero-inflated versions of each model. Copyright 2014 by StataCorp LP.
Persistent link: https://www.econbiz.de/10010934060
This paper develops a class of autoregressive and moving average models which extend the generalized linear model. Likelihood and quasi-likelihood estimation procedures are developed which allow the models to be easily estimated and tested. Several examples are given which illustrate the...
Persistent link: https://www.econbiz.de/10005730355
Persistent link: https://www.econbiz.de/10005715923
specification of the overdispersion parameter dominates on the basis of goodness of fit. The results are used to estimate the users …
Persistent link: https://www.econbiz.de/10005119149
We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.
Persistent link: https://www.econbiz.de/10010630741
During the last decades there has been a widespread relaxation of legal entry barriers into the banking industry, with potential benefits for financial integration and competition. Obstacles to banks' geographical and business expansion have been removed and branching has been substantially...
Persistent link: https://www.econbiz.de/10005113555