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

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Author Info
Jon H. Fiva, Torbjørn Hægeland and Marte Rønning () (Statistics Norway)

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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.

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Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 590.

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Date of creation: Sep 2009
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Handle: RePEc:ssb:dispap:590

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Related research
Keywords: Quality indicators; health sector; survival; employment; cancer;

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Find related papers by JEL classification:
I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
I12 - Health, Education, and Welfare - - Health - - - Health Production
J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64, pages 416. [Downloadable!] (restricted)
  2. Carlsen, Fredrik, 1994. "Hospital financing in Norway," Health Policy, Elsevier, vol. 28(2), pages 79-88, May. [Downloadable!] (restricted)
  3. David M. Cutler & Angus S. Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," NBER Working Papers 11963, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. 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.
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  5. 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.
  6. 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, 07. [Downloadable!] (restricted)
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  7. 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.
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  8. 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. [Downloadable!] (restricted)
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