IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/590.html
   My bibliography  Save this paper

Health Status After Cancer. Does It Matter Which Hospital You Belong To?

Author

Listed:

Abstract

Survival rates are widely used to compare quality of health care. In this paper we introduce post-illness employment as a supplemental indicator of successful treatment of serious diseases. Utilizing rich register based data on cancer patients we document substantial differences across Norwegian hospital catchment areas with respect to employment five years after diagnosis. Conventional quality indicators based on survival rates indicate smaller differences. The two sets of indicators are only weakly correlated, suggesting that they capture different parts of the quality distribution, and that using only one of them may be insufficient.

Suggested Citation

  • Jon H. Fiva & Torbjørn Hægeland & Marte Rønning, 2009. "Health Status After Cancer. Does It Matter Which Hospital You Belong To?," Discussion Papers 590, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:590
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp590.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. David M. Cutler, 2008. "Are We Finally Winning the War on Cancer?," Journal of Economic Perspectives, American Economic Association, vol. 22(4), pages 3-26, Fall.
    3. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    4. Paul van den Noord & Terje Hagen & Tor Iversen, 1998. "The Norwegian Health Care System," OECD Economics Department Working Papers 198, OECD Publishing.
    5. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    6. Bradley, Cathy J. & Neumark, David & Bednarek, Heather L. & Schenk, Maryjean, 2005. "Short-term effects of breast cancer on labor market attachment: results from a longitudinal study," Journal of Health Economics, Elsevier, vol. 24(1), pages 137-160, January.
    7. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    8. Gowrisankaran, Gautam & Town, Robert J., 1999. "Estimating the quality of care in hospitals using instrumental variables," Journal of Health Economics, Elsevier, vol. 18(6), pages 747-767, December.
    9. Kravdal, Øystein, 2001. "The impact of marital status on cancer survival," Social Science & Medicine, Elsevier, vol. 52(3), pages 357-368, February.
    10. Carlsen, Fredrik, 1994. "Hospital financing in Norway," Health Policy, Elsevier, vol. 28(2), pages 79-88, May.
    11. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2003. "Bayesian Inference for Hospital Quality in a Selection Model," Econometrica, Econometric Society, vol. 71(4), pages 1215-1238, July.
    12. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    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. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2018. "Effects of Market Structure and Patient Choice on Hospital Quality for Planned Patients," School of Economics Discussion Papers 1118, School of Economics, University of Surrey.
    2. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2021. "Hospital competition and quality for non‐emergency patients in the English NHS," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 382-414, June.
    3. Chiburis, Richard C. & Das, Jishnu & Lokshin, Michael, 2012. "A practical comparison of the bivariate probit and linear IV estimators," Economics Letters, Elsevier, vol. 117(3), pages 762-766.
    4. Cull, Robert & Li, Wei & Sun, Bo & Xu, Lixin Colin, 2015. "Government connections and financial constraints: Evidence from a large representative sample of Chinese firms," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 271-294.
    5. Du Juan, 2012. "Formal and Informal Care: An Empirical Bayesian Analysis Using the Two-part Model," Forum for Health Economics & Policy, De Gruyter, vol. 15(1), pages 1-42, November.
    6. Derek Messacar, 2022. "Community attachment, job loss and regional labour mobility in Canada: Evidence from the Great Recession," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(3), pages 1404-1430, August.
    7. Anne-Line Koch Helsø & Mr. Nicola Pierri & Adelina Yanyue Wang, 2019. "The Economic Impact of Healthcare Quality," IMF Working Papers 2019/173, International Monetary Fund.
    8. Fiva, Jon H. & Hægeland, Torbjørn & Rønning, Marte & Syse, Astri, 2014. "Access to treatment and educational inequalities in cancer survival," Journal of Health Economics, Elsevier, vol. 36(C), pages 98-111.
    9. Carpio, Carlos E. & Boonsaeng, Tullaya & Chen, Zhen & Okrent, Abigail, 2014. "The Effect of Supplemental Nutrition Assistance Program on Food and Nonfood Spending Among Low-Income Households," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170650, Agricultural and Applied Economics Association.
    10. Cobo-Reyes, Ramón & Katz, Gabriel & Meraglia, Simone, 2019. "Endogenous sanctioning institutions and migration patterns: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 575-606.
    11. Thierry Magnac & Eric Maurin, 2008. "Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 835-864.
    12. Augusto Mendoza Calderón, 2017. "El Efecto del Empleo sobre la Violencia Doméstica: Evidencia para las Mujeres Peruanas," Working Papers 99, Peruvian Economic Association.
    13. Sastry, Narayan & Gregory, Jesse, 2013. "The effect of Hurricane Katrina on the prevalence of health impairments and disability among adults in New Orleans: Differences by age, race, and sex," Social Science & Medicine, Elsevier, vol. 80(C), pages 121-129.
    14. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    15. Guillermo Cruces & Sebastian Galiani, 2003. "Generalizing the Causal Effect of Fertility on Female Labor Supply," Labor and Demography 0310002, University Library of Munich, Germany.
    16. Giorgio Di Pietro, 2018. "The academic impact of natural disasters: evidence from L’Aquila earthquake," Education Economics, Taylor & Francis Journals, vol. 26(1), pages 62-77, January.
    17. Park, Cheolsung & Kang, Changhui, 2008. "Does education induce healthy lifestyle?," Journal of Health Economics, Elsevier, vol. 27(6), pages 1516-1531, December.
    18. Stefan Boes & Michael Gerfin, 2016. "Does Full Insurance Increase the Demand for Health Care?," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1483-1496, November.
    19. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2012. "The Impact of Maize Hybrids on Income, Poverty, and Inequality among Smallholder Farmers in Kenya," Food Security International Development Working Papers 146931, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    20. Lahiri, Bidisha & Ali, Haider, 2022. "Inspections, informal payments and tax payments by firms," Finance Research Letters, Elsevier, vol. 46(PA).

    More about this item

    Keywords

    Quality indicators; health sector; survival; employment; cancer;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ssb:dispap:590. 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.html .

    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.