The Fixed-Effects Zero-Inflated Poisson Model with an Application to Health Care Utilization
AbstractResponse variables that are scored as counts and that present a large number of zeros often arise in quantitative health care analysis. We define a zero-in flated Poisson model with fixed-effects in both of its equations to identify respondent and health-related characteristics associated with health care demand. This is a new model that is proposed to model count measures of health care utilization and account for the panel structure of the data. Parameter estimation is achieved by conditional maximum likelihood. An application of the new model is implemented using micro level data from the 2004-2006 Survey of Health, Ageing and Retirement in Europe (SHARE), and compared to existing panel data models for count data. Results show that separately controlling for whether outcomes are zero or positive in one of the two years does make a difference for counts with a larger number of zeros.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2011-083.
Date of creation: 2011
Date of revision:
Contact details of provider:
Web page: http://center.uvt.nl
Count Data; Zero-In ated Poisson Model; Fixed-effects; SHARE;
Find related papers by JEL classification:
- J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniele Fabbri & Chiara Monfardini, 2003.
"Public vs. Private Health Care Services Demand in Italy,"
Giornale degli Economisti,
GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 62(1), pages 93-123, April.
- D. Fabbri & C. Monfardini, 2002. "Public Vs. Private Health Care Services Demand in Italy," Working Papers 457, Dipartimento Scienze Economiche, Universita' di Bologna.
- William W. Gould & Jeffrey Pitblado & Brian Poi, 2010. "Maximum Likelihood Estimation with Stata," Stata Press books, StataCorp LP, edition 4, number ml4, April.
- Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-36, May-June.
- Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2004.
"Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach,"
John Wiley & Sons, Ltd., vol. 13(7), pages 657-668.
- Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2003. "Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach," CEIS Research Paper 36, Tor Vergata University, CEIS.
- Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
- Windmeijer, F A G & Silva, J M C Santos, 1997.
"Endogeneity in Count Data Models: An Application to Demand for Health Care,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 12(3), pages 281-94, May-June.
- Frank Windmeijer & Joao Santos Silva, 1996. "Endogeneity in count data models; an application to demand for health care," IFS Working Papers W96/15, Institute for Fiscal Studies.
- Sergi Jiménez-Mart�n & José M. Labeaga & Maite Mart�nez-Granado, 2002. "Latent class versus two-part models in the demand for physician services across the European Union," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 301-321.
- Teresa Bago d’Uva, 2005.
"Latent class models for utilisation of health care,"
Health, Econometrics and Data Group (HEDG) Working Papers
05/01, HEDG, c/o Department of Economics, University of York.
- Teresa Bago d'Uva, 2006. "Latent class models for utilisation of health care," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 329-343.
- Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
- Winkelmann, Rainer, 2001.
"Health Care Reform and the Number of Doctor Visits - An Econometric Analysis,"
CEPR Discussion Papers
3021, C.E.P.R. Discussion Papers.
- Rainer Winkelmann, 2004. "Health care reform and the number of doctor visits-an econometric analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 455-472.
- Winkelmann, Rainer, 2001. "Health Care Reform and the Number of Doctor Visits - An Econometric Analysis," IZA Discussion Papers 317, Institute for the Study of Labor (IZA).
- Rainer Winkelmann, 2002. "Health Care Reform and the Number of Doctor Visits – An Econometric Analysis," SOI - Working Papers 0210, Socioeconomic Institute - University of Zurich.
- Teresa Bago d'Uva & Andrew M. Jones & Eddy van Doorslaer, 2007.
"Measurement of Horizontal Inequity in Health Care Utilisation using European Panel Data,"
Tinbergen Institute Discussion Papers
07-059/3, Tinbergen Institute.
- Bago d'Uva, Teresa & Jones, Andrew M. & van Doorslaer, Eddy, 2009. "Measurement of horizontal inequity in health care utilisation using European panel data," Journal of Health Economics, Elsevier, vol. 28(2), pages 280-289, March.
- Teresa Bago d’Uva & Andrew M. Jones & Eddy van Doorslaer, 2007. "Measurement of horizontal inequity in health care utilisation using European Panel data," Health, Econometrics and Data Group (HEDG) Working Papers 07/17, HEDG, c/o Department of Economics, University of York.
- Dimitrios Christelis, 2011. "Imputation of Missing Data in Waves 1 and 2 of SHARE," CSEF Working Papers 278, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Crepon, Bruno & Duguet, Emmanuel, 1997.
"Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity,"
Journal of Econometrics,
Elsevier, vol. 79(2), pages 355-378, August.
- Crepon, B. & Duguet, E., 1995. "Research and Development, Competition and Innovation; Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity," Papiers d'Economie MathÃÂ©matique et Applications 95.08, UniversitÃ© PanthÃ©on-Sorbonne (Paris 1).
- Guimarães, Paulo, 2008. "The fixed effects negative binomial model revisited," Economics Letters, Elsevier, vol. 99(1), pages 63-66, April.
- Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
- Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489.
- Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984.
"Econometric Models for Count Data with an Application to the Patents-R&D Relationship,"
NBER Technical Working Papers
0017, National Bureau of Economic Research, Inc.
- Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
- Axel Börsch-Supan & Karsten Hank & Hendrik Jürges, 2005. "New Comprehensive and International View on Ageing: The Survey of Health, Ageing and Retirement in Europe," MEA discussion paper series 05075, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
- J. A. Hausman, 1976.
"Specification Tests in Econometrics,"
185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Myoung-Jae Lee & Satoru Kobayashi, 2001. "Proportional treatment effects for count response panel data: effects of binary exercise on health care demand," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 411-428.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Richard Broekman).
If references are entirely missing, you can add them using this form.