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Sample Selection Versus Two-Part Models Revisited: the Case of Female Smoking and Drinking

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  • David Madden

Abstract

There is a well-established debate between Heckman sample selection and two-part models in health econometrics, particularly when no obvious exclusion restrictions are available. Most of this debate has focussed on the application of these models to health care expenditure. This paper revisits the debate in the context of female smoking and drinking, and evaluates the two approaches on three grounds: theoretical, practical and statistical. The two-part model is generally favoured but it is stressed that this comparison should be carried out on a case-by-case basis.

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Bibliographic Info

Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 06/12.

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Date of creation: Nov 2006
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Handle: RePEc:yor:hectdg:06/12

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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/res/herc/research/hedg/
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Keywords: Selection; Two-part; Smoking; Drinking;

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References

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  1. Meena Seshamani & Alastair Gray, 2004. "Ageing and health-care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314.
  2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
  3. Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
  4. Christian Salas & James P. Raftery, 2001. "Econometric issues in testing the age neutrality of health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 669-671.
  5. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  6. Willard G. Manning Jr. & Charles E. Phelps, 1979. "The Demand for Dental Care," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 503-525, Autumn.
  7. Jones, Andrew M, 1989. "A Double-Hurdle Model of Cigarette Consumption," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 23-39, Jan.-Mar..
  8. Hay, Joel W & Olsen, Randall J, 1984. "Let Them Eat Cake: A Note on Comparing Alternative Models of the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 279-82, July.
  9. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-44, September.
  10. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
  11. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-26, April.
  12. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496.
  13. Sandra L. Decker & Amy Ellen Schwartz, 2000. "Cigarettes and Alcohol: Substitutes or Complements?," NBER Working Papers 7535, National Bureau of Economic Research, Inc.
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Cited by:
  1. Randy A. Becker & Ronald J. Shadbegian & Carl Pasurka, 2012. "Do Environmental Regulations Disproportionately Affect Small Businesses? Evidence from the Pollution Abatement Costs and Expenditures Survey," NCEE Working Paper Series 201206, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Sep 2012.
  2. Elmas Yaldiz Hanedar & Eleonora Broccardo & Flavio Bazzana, 2012. "Collateral Requirements of SMEs:The Evidence from Less–Developed Countries," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 12111, Universita di Modena e Reggio Emilia, Facoltà di Economia "Marco Biagi".
  3. Beomsoo Kim & Christopher J. Ruhm, 2009. "Inheritances, Health and Death," NBER Working Papers 15364, National Bureau of Economic Research, Inc.
  4. Giacomo Pasini & Rob Alessie & Viola Angelini, 2011. "Is it true love? Altruism versus exchange in time and money transfers," Working Papers 2011_27, Department of Economics, University of Venice "Ca' Foscari".
  5. Quattri, Maria A. & Ozanne, Adam & Wang, Xioabing & Hall, Alastair R., 2011. "On The Role Of The Brokerage Institution In The Development Of Ethiopian Agricultural Markets," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108941, Agricultural Economics Society.
  6. Myck, Michal & Nicinska, Anna & Morawski, Leszek, 2009. "Count Your Hours: Returns to Education in Poland," IZA Discussion Papers 4332, Institute for the Study of Labor (IZA).
  7. Mark E McGovern, 2012. "Don't Stress: Early Life Conditions, Hypertension, and Selection into Associated Risk Factors," Working Papers 201227, School Of Economics, University College Dublin.
  8. Cairns, Alexander P. & Meilke, Karl D., 2012. "The Next-11 and the BRICs: Are They the Future Markets for Agrifood Trade?," Working Papers 122737, Canadian Agricultural Trade Policy Research Network.
  9. Ramaele Moshoeshoe, 2012. "Consumer demand for alcoholic beverages and tobacco in Lesotho: A double-hurdle approach," Working Papers 315, Economic Research Southern Africa.
  10. David ARISTEI & Manuela Gallo, 2012. "The Drivers of Household Over-Indebtedness and Delinquency on Mortgage Loans: Evidence from Italian Microdata," Quaderni del Dipartimento di Economia, Finanza e Statistica 105/2012, Università di Perugia, Dipartimento Economia, Finanza e Statistica.

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