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Nonparametric Kernel Estimation of the Impact of Tax Policy on the Demand for Private Health Insurance in Australia

Author

Listed:
  • Gong, Xiaodong

    (NATSEM, University of Canberra)

  • Gao, Jiti

    (Monash University)

Abstract
This paper is motivated by our attempt to answer an empirical question: how is private health insurance take-up in Australia affected by the income threshold at which the Medicare Levy Surcharge (MLS) kicks in? We propose a new difference de-convolution kernel estimator for the location and size of regression discontinuities. We also propose a bootstrapping procedure for estimating confidence bands for the estimated discontinuity. Performance of the estimator is evaluated by Monte Carlo simulations before it is applied to estimating the effect of the income threshold of Medicare Levy Surcharge on the take-up of private health insurance in Australia using contaminated data.

Suggested Citation

  • Gong, Xiaodong & Gao, Jiti, 2015. "Nonparametric Kernel Estimation of the Impact of Tax Policy on the Demand for Private Health Insurance in Australia," IZA Discussion Papers 9265, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp9265
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    References listed on IDEAS

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    1. Kang, Kee-Hoon & Koo, Ja-Yong & Park, Cheol-Woo, 2000. "Kernel estimation of discontinuous regression functions," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 277-285, April.
    2. H.E. Frech Iii & Sandra Hopkins & Garry Macdonald, 2003. "The Australian Private Health Insurance Boom: Was It Subsidies Or Liberalised Regulation?," Economic Papers, The Economic Society of Australia, vol. 22(1), pages 58-64, March.
    3. Delaigle, Aurore & Meister, Alexander, 2007. "Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1416-1426, December.
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    5. Stavrunova, Olena & Yerokhin, Oleg, 2014. "Tax incentives and the demand for private health insurance," Journal of Health Economics, Elsevier, vol. 34(C), pages 121-130.
    6. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    7. Alfons Palangkaraya & Jongsay Yong, 2005. "Effects of Recent Carrot‐and‐Stick Policy Initiatives on Private Health Insurance Coverage in Australia," The Economic Record, The Economic Society of Australia, vol. 81(254), pages 262-272, September.
    8. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
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    10. Thomas C. Buchmueller & John DiNardo & Robert G. Valletta, 2011. "The Effect of an Employer Health Insurance Mandate on Health Insurance Coverage and the Demand for Labor: Evidence from Hawaii," American Economic Journal: Economic Policy, American Economic Association, vol. 3(4), pages 25-51, November.
    11. Finkelstein, Amy, 2002. "The effect of tax subsidies to employer-provided supplementary health insurance: evidence from Canada," Journal of Public Economics, Elsevier, vol. 84(3), pages 305-339, June.
    12. Delaigle, A. & Gijbels, I., 2004. "Practical bandwidth selection in deconvolution kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 249-267, March.
    13. Jonathan Gruber & James M. Poterba, 1993. "Tax Incentives and the Decision to Purchase Health Insurance: Evidence from the Self-Employed," NBER Working Papers 4435, National Bureau of Economic Research, Inc.
    14. Alfons Palangkaraya & Jongsay Yong & Elizabeth Webster & Peter Dawkins, 2009. "The income distributive implications of recent private health insurance policy reforms in Australia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(2), pages 135-148, May.
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    16. Randall Ellis & Elizabeth Savage, 2008. "Run for cover now or later? The impact of premiums, threats and deadlines on private health insurance in Australia," International Journal of Health Economics and Management, Springer, vol. 8(4), pages 257-277, December.
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    18. Randall P. Ellis & Elizabeth Savage, 2008. "Run for Cover Now or Later? The impact of premiums, threats and deadlines on supplementary private health insurance in Australia," Boston University - Department of Economics - Working Papers Series wp2008-013, Boston University - Department of Economics.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    error-in-variables; regression discontinuity; de-convolution kernel estimator; demand for private health insurance;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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