Semiparametric Count Data Modeling with an Application to Health Service Demand
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- 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, Philipp & Farbmacher, Helmut & Spindler, Martin, 2017. "Semiparametric count data modeling with an application to health service demand," hche Research Papers 2017/15, University of Hamburg, Hamburg Center for Health Economics (hche).
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Weiwei Liu & Kevin J. Egan, 2019.
"A Semiparametric Smooth Coefficient Estimator for Recreation Demand,"
Environmental & Resource Economics,
Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1163-1187, November.
- Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
More about this item
Keywordssemiparametric; nonparametric; count data; health care demand;
- I10 - Health, Education, and Welfare - - Health - - - General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
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