Semiparametric estimation of count regression models

DOI10.1016/S0304-4076(98)00026-8zbMath0937.62041OpenAlexW2002221948WikidataQ127663569 ScholiaQ127663569MaRDI QIDQ1305681

Paul Rilstone, Shiferaw Gurmu, Steven E. Stern

Publication date: 13 June 2000

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-4076(98)00026-8

zbMATH Keywords

overdispersioncensoringunobserved heterogeneityseries approximationzero inflationPoisson regressions

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08)

Related Items (14)

Distribution of a sum of weighted noncentral chi-square variables ⋮ Testing overdispersion in the zero-inflated Poisson model ⋮ Semiparametric Bayesian estimation of mixed count regression models ⋮ Nonparametric specification testing via the trinity of tests ⋮ A local maximum likelihood estimator for Poisson regression ⋮ Generalized bivariate count data regression models ⋮ Counts with an endogenous binary regressor: A series expansion approach ⋮ A Semi-Nonparametric Approach to Model Panel Count Data ⋮ The k‐ZIG: Flexible Modeling for Zero‐Inflated Counts ⋮ Score Tests for Zero-Inflation in Overdispersed Count Data ⋮ Semiparametric competing risks analysis ⋮ A Poisson mixture model of discrete choice ⋮ Flexible parametric estimation technique for a competing risks model with unobserved heterogeneity: a Monte Carlo study ⋮ Semiparametric estimation of count regression models

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