IDEAS home Printed from https://ideas.repec.org/a/eee/jhecon/v17y1998i3p283-295.html
   My bibliography  Save this article

The logged dependent variable, heteroscedasticity, and the retransformation problem

Author

Listed:
  • Manning, Willard G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Manning, Willard G., 1998. "The logged dependent variable, heteroscedasticity, and the retransformation problem," Journal of Health Economics, Elsevier, vol. 17(3), pages 283-295, June.
    • Handle: RePEc:eee:jhecon:v:17:y:1998:i:3:p:283-295
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-6296(98)00025-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    2. Showalter, Mark H, 1994. "A Monte Carlo Investigation of the Box-Cox Model and a Nonlinear Least Squares Alternative," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 560-570, August.
    3. Kennedy, Peter, 1983. "Logarithmic Dependent Variables and Prediction Bias," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 45(4), pages 389-392, November.
    4. 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 115-126, April.
    5. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    6. Kennedy, Peter E, 1981. "Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations [The Interpretation of Dummy Variables in Semilogarithmic Equations]," American Economic Review, American Economic Association, vol. 71(4), pages 801-801, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    2. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    3. John Mullahy, 2015. "In Memoriam: Willard G. Manning, 1946‐2014," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 253-257, March.
    4. Jianmei Zhao & Hai Zhong, 2015. "Medical expenditure in urban China: a quantile regression analysis," International Journal of Health Economics and Management, Springer, vol. 15(4), pages 387-406, December.
    5. Chen, Brian K. & Gertler, Paul J. & Yang, Chun-Yuh, 2016. "Physician ownership of complementary medical services," Journal of Public Economics, Elsevier, vol. 144(C), pages 27-39.
    6. Hullegie, P.G.J., 2012. "Essays on health and labor economics," Other publications TiSEM dcc68fc9-7af1-4ba9-8f90-6, Tilburg University, School of Economics and Management.
    7. Dow, W.H., 1995. "Unconditional Demand for Curative Health Inputs: Does Selection on Health Status Matter in the Long Run?," Papers 740, Yale - Economic Growth Center.
    8. Chen, Chin-Shyan & Liu, Tsai-Ching & Chen, Li-Mei, 2003. "National Health Insurance and the antenatal care use: a case in Taiwan," Health Policy, Elsevier, vol. 64(1), pages 99-112, April.
    9. Mocan, H. Naci & Tekin, Erdal & Zax, Jeffrey S., 2004. "The Demand for Medical Care in Urban China," World Development, Elsevier, vol. 32(2), pages 289-304, February.
    10. Fernando Ruiz & Liliana Amaya & Stella Venegas, 2007. "Progressive segmented health insurance: Colombian health reform and access to health services," Health Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 3-18, January.
    11. Ni, Xinwen, 2019. "Voting for Health Insurance Policy: the U.S. versus Europe," IRTG 1792 Discussion Papers 2019-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    12. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    13. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    14. Kevin E. Staub, 2014. "A Causal Interpretation of Extensive and Intensive Margin Effects in Generalized Tobit Models," The Review of Economics and Statistics, MIT Press, vol. 96(2), pages 371-375, May.
    15. Emmanouil Mentzakis & Paul McNamee & Mandy Ryan, 2009. "Who cares and how much: exploring the determinants of co-residential informal care," Review of Economics of the Household, Springer, vol. 7(3), pages 283-303, September.
    16. Galama, T. & Hullegie, P. & Meijer, E. & Outcault, S., 2012. "Empirical evidence for decreasing returns to scale in a health capital model," Health, Econometrics and Data Group (HEDG) Working Papers 12/05, HEDG, c/o Department of Economics, University of York.
    17. Frank, Richard G. & Glazer, Jacob & McGuire, Thomas G., 2000. "Measuring adverse selection in managed health care," Journal of Health Economics, Elsevier, vol. 19(6), pages 829-854, November.
    18. Van Houtven, Courtney Harold & Norton, Edward C., 2004. "Informal care and health care use of older adults," Journal of Health Economics, Elsevier, vol. 23(6), pages 1159-1180, November.
    19. Andrew Briggs & Richard Nixon & Simon Dixon & Simon Thompson, 2005. "Parametric modelling of cost data: some simulation evidence," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 421-428, April.
    20. Manos Matsaganis & Theodore Mitrakos & Panos Tsakloglou, 2008. "Modelling Household Expenditure on Health Care in Greece," Working Papers 68, Bank of Greece.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jhecon:v:17:y:1998:i:3:p:283-295. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505560 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.