Impact of Complementarity and Heterogeneity on Health Related Utility of Life
This study aims at identifying determinants of health related quality of life in Poland, and in particular at verifying whether health domains are complements or substitutes and what the impact of heterogeneity of population on the health state valuation is. The paper uses data in panel structure coming from a survey conducted in Poland and consisting of 6700 valuations (after data cleaning) of EQ-5D health states with time trade-off method. Several econometric models are built in order to detect the impact of complementarity and heterogeneity. Random effects models as well as random parameters models estimated using Bayesian approach are used. The results show that health domains are complementary goods. Especially the lack of pain/discomfort is a complement to other health domains. Demographic factors influence how health state change impacts utility. These factors encompass sex, education, respondent's health state and even belief in life after death. (original abstract)
-  Bleichrodt, H., M. Wakker, and M. Johannesson (1997), Characterizing QALYs by Risk Neutrality, Journal of Risk and Uncertainty, 15, 107-114.
-  Brazier, J., J. Ratcliffe, J. Alomon, and A. Tsuchiya (2007), Measuring and Valuing Health Benefits for Economic Evaluation. Oxford University Press.
-  Casella G., C. P. R. (2004), Monte Carlo Statistical Methods. Springer-Verlag, Nowy Jork.
-  Culyer, A., and J. Newhouse (eds.) (2000), Handbook of Health Economics. Elsevier Science.
-  Dolan, P., C. Gudex, P. Kind, and A. Williams (1996), The time trade-off method: results from a general population study, Health Economics, 5, 141-154.
-  Dolan, P.and Stalmeier, P. (2003), The validity of time trade-off values in calculating QALYs: constant proportional time trade-off versus the proportional heuristic, Journal of Health Economics, 22, 445-458.
-  Drummond, M., M. Sculpher, G. Torrance, B. O'Brien, and G. Stoddart (2005), Methods for the economic evaluation of health care programmes. Third edition. Oxford University Press, Oxford.
-  Geyer, C. (1992), Practical Markov Chain Monte Carlo, Statistical Science, 7, 473-483.
-  Gold, M., J. Siegel, L. Russell, and M.Weinstein (eds.) (1996), Cost-Effectiveness in Health and Medicine. Oxford University Press.
-  Golicki, D., M. Jakubczyk, M. Niewada, W. Wrona, and J. Busschbach (2009), Valuation of EQ-5D Health States in Poland: First TTO-Based Social Value Set in Central and Eastern Europe, Value in Health, published online, DOI: 10.1111/j.1524-4733.2009.00596.x.
-  Greiner, W., C. Claes, J. Busschbach, and J.-M. Graf von der Schulenburg (2004), Validating the EQ-5D with time trade off for the German population, European Journal of Health Economics, 6, 124-130.
-  Lamers, L. M., J. McDonnell, P. Stalmeier, P. Krabbe, and J. Busschbach (2006), The Dutch tariff: results and arguments for an effective design for national EQ-5D valuation studies, Health Economics, 15, 1121-1132.
-  Maddala, G. S. (2001), Introduction to Econometrics. Third Edition. John Wiley & Sons, Ltd.
-  von Neumann, J., and O. Morgenstern (1944), Theory of Games and Economic Behavior. Princeton University Press.
-  Parsons, T. (1964), Social Structure and Personality. The Free Press, Nowy Jork.
-  Pliskin, J., D. Shepard, and M. Weinstein (1980), Utility Functions for Life Years and Health Status, Operations Research, 28, 206-224.
-  Rabin, R., and F. de Charro (2001), EQ-5D: a measure of health status from the EuroQol Group, Annales Medicales, 33, 337-343.
-  Tsuchiya, A., S. Ikeda, N. Ikegami, S. Nishimura, I. Sakai, T. Fukuda, C. Hamashima, A. Hisashige, and M. Tamura (2002), Estimating an EQ-5D population value set: the case of Japan, Health Economics, 11, 341-353.