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Estimation of hurdle models for overdispersed count data
Helmut Farbmacher
University of Munich
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Mathematics
Approximates
100%
Likelihood Function
100%
Negative Binomial
100%
Lognormal Distribution
100%
Binomial Alternative
100%
Doctor Visit
100%
Monte Carlo
100%
Count Data
100%
Keyphrases
Hurdle Model
100%
Overdispersed Count
100%
Likelihood Function
33%
Monte Carlo Experiment
33%
Negative Binomial
33%
Zero-inflated Poisson
33%
Stata
33%
Medical Expenditure Panel Survey
33%
Number of Doctors
33%
Adaptive Gauss-Hermite Quadrature
33%
Poisson Log-normal Distribution
33%
Poisson-lognormal
33%
Doctor Visits
33%