A local maximum likelihood estimator for Poisson regression
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DOI: 10.1007/s00184-007-0156-1
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Cited by:
- Bach, Philipp & Farbmacher, Helmut & Spindler, Martin, 2018.
"Semiparametric count data modeling with an application to health service demand,"
Econometrics and Statistics, Elsevier, vol. 8(C), pages 125-140.
- Bach, P. & Farbmacher, H. & Spindler, M., 2016. "Semiparametric Count Data Modeling with an Application to Health Service Demand," Health, Econometrics and Data Group (HEDG) Working Papers 16/20, HEDG, c/o Department of Economics, University of York.
- Bach, Philipp & Farbmacher, Helmut & Spindler, Martin, 2017. "Semiparametric count data modeling with an application to health service demand," hche Research Papers 15, University of Hamburg, Hamburg Center for Health Economics (hche).
- Toshihide Mizuno & Hiroko Kurumai, 2024. "Nonparametric estimation of the gravity model of migration: application of partitioning Poisson estimates to Japanese inter-municipal migration by age–sex group," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 819-832, September.
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Keywords
Count data; Local maximum likelihood; Poisson regression; Semiparametric regression; Zero-inflated Poisson regression;All these keywords.
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