Exploring differences in empirical time preference rates for health: an application of meta‐regression
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DOI: 10.1002/hec.1256
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Citations
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Cited by:
- Dodd, Mark C., 2014. "Intertemporal discounting as a risk factor for high BMI: Evidence from Australia, 2008," Economics & Human Biology, Elsevier, vol. 12(C), pages 83-97.
- Mike Paulden & Karl Claxton, 2012.
"Budget allocation and the revealed social rate of time preference for health,"
Health Economics, John Wiley & Sons, Ltd., vol. 21(5), pages 612-618, May.
- Mike Paulden & Karl Claxton, 2009. "Budget allocation and the revealed social rate of time preference for health," Working Papers 053cherp, Centre for Health Economics, University of York.
- Erik Nord & Jose Luis Pinto & Jeff Richardson & Paul Menzel & Peter Ubel, 1999. "Incorporating societal concerns for fairness in numerical valuations of health programmes," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 25-39, February.
- Verity Watson & Frauke Becker & Esther de Bekker‐Grob, 2017. "Discrete Choice Experiment Response Rates: A Meta‐analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 810-817, June.
- repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
- Kenneth C. Lichtendahl & Samuel E. Bodily, 2012. "Multiplicative Utilities for Health and Consumption," Decision Analysis, INFORMS, vol. 9(4), pages 314-328, December.
- John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
- Maamar Sebri, 2014. "A meta-analysis of residential water demand studies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 499-520, June.
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