Hermite Regression Analysis of Multi-Modal Count Data
We discuss the modeling of count data whose empirical distribution is both multi-modal and overdispersed, and propose the Hermite distribution with covariates introduced through the conditional mean. The model is readily estimated by maximum likelihood, and nests the Poisson model as a special case. The Hermite regression model is applied to data for the number of banking and currency crises in IMF-member countries, and is found to out-perform the Poisson and negative binomial models.
|Date of creation:||13 Apr 2010|
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- Domac, Ilker & Martinez Peria, Maria Soledad, 2003.
"Banking crises and exchange rate regimes: is there a link?,"
Journal of International Economics,
Elsevier, vol. 61(1), pages 41-72, October.
- Domac, Ilker & Martinez-Peria, Maria Soledad, 2000. "Banking crises and exchange rate regimes - Is there a link?," Policy Research Working Paper Series 2489, The World Bank.
- Francisco Covas & J.M.C. Santos Silva, 2000. "A modified hurdle model for completed fertility," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 173-188. Full references (including those not matched with items on IDEAS)
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