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Some estimates for income elasticities of leisure activities in the United States

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  • González Chapela, Jorge

Abstract

The empirical classification of leisure activities into luxuries, necessities, or inferior activities is useful for predicting the impact of economic development or life-cycle variations in wages on the organization of people’s leisure. We take a step in that direction. We present theoretical underpinnings to the investigation of leisure-income responses and conduct an empirical examination of four broad activities using a recently collected cross-section of observations on time use in the US. Findings suggest that consumers endowed with more income opt to improve the quality of their leisure activities but not to increase (or increase only slightly) the time spent on them. A positive, direct effect of education on active leisure stemming mainly from men’s behavior is also found.

Suggested Citation

  • González Chapela, Jorge, 2014. "Some estimates for income elasticities of leisure activities in the United States," MPRA Paper 57303, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:57303
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    References listed on IDEAS

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    1. Stapleton, David C & Young, Douglas J, 1984. "Censored Normal Regression with Measurement Error on the Dependent Variable," Econometrica, Econometric Society, vol. 52(3), pages 737-760, May.
    2. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    3. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    4. Reuben Gronau & Daniel S. Hamermesh, 2006. "Time Vs. Goods: The Value Of Measuring Household Production Technologies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(1), pages 1-16, March.
    5. George R. Heaton, 1999. "Book:," Journal of Industrial Ecology, Yale University, vol. 3(4), pages 150-152, October.
    6. Gronau, Reuben, 1976. "The Allocation of Time of Israeli Women," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 201-220, August.
    7. Borjas, George J., 1999. "The economic analysis of immigration," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 28, pages 1697-1760, Elsevier.
    8. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    9. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-513, March.
    10. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    11. John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.
    12. Kenkel, Donald S, 1991. "Health Behavior, Health Knowledge, and Schooling," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 287-305, April.
    13. Wales, Terence J & Woodland, A D, 1977. "Estimation of the Allocation of Time for Work, Leisure, and Housework," Econometrica, Econometric Society, vol. 45(1), pages 115-132, January.
    14. Stoker, Thomas M, 1986. "Consistent Estimation of Scaled Coefficients," Econometrica, Econometric Society, vol. 54(6), pages 1461-1481, November.
    15. Jay Stewart, 2013. "Tobit or not Tobit?," Journal of Economic and Social Measurement, IOS Press, issue 3, pages 263-290.
    16. Owen, John D, 1971. "The Demand for Leisure," Journal of Political Economy, University of Chicago Press, vol. 79(1), pages 56-76, Jan.-Feb..
    17. Kooreman, Peter & Kapteyn, Arie, 1987. "A Disaggregated Analysis of the Allocation of Time within the Household," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 223-249, April.
    18. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    19. Daniel S. Hamermesh & Harley Frazis & Jay Stewart, 2005. "Data Watch: The American Time Use Survey," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 221-232, Winter.
    20. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    21. Biddle, Jeff E & Hamermesh, Daniel S, 1990. "Sleep and the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 922-943, October.
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    Cited by:

    1. Benjamin Bridgman, 2016. "Engines of Leisure," BEA Working Papers 0137, Bureau of Economic Analysis.

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    Keywords

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    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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