Some ridge regression estimators for the zero-inflated Poisson model

Kibria, B. M. GolamDepartment of Mathematics and Statistics, Florida International University, Miami, Florida, USA (författare)

The zero-inflated Poisson regression model is commonly used when analyzing economic data that come in the form of non-negative integers since it accounts for excess zeros and overdispersion of the dependent variable. However, a problem often encountered when analyzing economic data that has not been addressed for this model is multicollinearity. This paper proposes ridge regression (RR) estimators and some methods for estimating the ridge parameter k for a non-negative model. A simulation study has been conducted to compare the performance of the estimators. Both mean squared error and mean absolute error are considered as the performance criteria. The simulation study shows that some estimators are better than the commonly used maximum-likelihood estimator and some other RR estimators. Based on the simulation study and an empirical application, some useful estimators are recommended for practitioners.

Shukur, GhaziLinnéuniversitetet,Jönköping University,IHH, Economics, Finance and Statistics,Statistik,Institutionen för nationalekonomi och statistik (NS)(Swepub:lnu)gshehv (författare)
Månsson, KristoferJönköping University,IHH, Economics, Finance and Statistics,Statistik(Swepub:hj)makr (författare)
Department of Mathematics and Statistics, Florida International University, Miami, Florida, USAIHH, Economics, Finance and Statistics (creator_code:org_t)

Ingår i:Journal of Applied Statistics: Informa UK Limited40:4, s. 721-7350266-47631360-0532

Av författaren/redakt...: Kibria, B. M. Go ...; Shukur, Ghazi; Månsson, Kristof ...

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