Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks
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DOI: 10.1007/s11166-011-9113-5
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RePEc Biblio mentions
As found on the RePEc Biblio, the curated bibliography for Economics:- > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Swine Influenza (H1N1)
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Cited by:
- Pichler, Stefan & Ziebarth, Nicolas R., 2017.
"The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior,"
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- Stefan Pichler & Nicolas Ziebarth, 2016. "The Pros and Cons of Sick Pay Schemes: Testing for Contagious Presenteeism and Noncontagious Absenteeism Behavior," NBER Chapters, in: Social Insurance Programs (Trans-Atlantic Public Economics Seminar, TAPES), National Bureau of Economic Research, Inc.
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- Stefan Pichler & Nicolas R. Ziebarth, 2015.
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- Stefan Pichler & Nicolas Ziebarth, 2015. "The Pros and Cons of Sick Pay Schemes: Testing for Contagious Presenteeism and Shirking Behavior," Working Papers 150016, Canadian Centre for Health Economics.
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- Pichler, Stefan & Ziebarth, Nicolas R., 2015.
"The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior,"
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- Pichler, Stefan & Ziebarth, Nicolas R., 2015. "The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112940, Verein für Socialpolitik / German Economic Association.
- Pichler, S,; & Ziebarth, N.R,;, 2015. "The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior," Health, Econometrics and Data Group (HEDG) Working Papers 15/03, HEDG, c/o Department of Economics, University of York.
- Wändi Bruine de Bruin & Katherine G. Carman, 2018. "Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents’ Evaluations," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2128-2143, October.
- W.J. Wouter Botzen & Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Divergence between individual perceptions and objective indicators of tail risks: Evidence from floodplain residents in New York City," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(4), pages 365-385, July.
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- W. J. Wouter Botzen & Jantsje M. Mol & Peter J. Robinson & Juan Zhang & Jeffrey Czajkowski, 2022. "Individual hurricane evacuation intentions during the COVID-19 pandemic: insights for risk communication and emergency management policies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 507-522, March.
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- Winter, Joachim & Wuppermann, Amelie C., 2014. "Do they know what is at risk? Health risk perception among the obese," Munich Reprints in Economics 22167, University of Munich, Department of Economics.
- Pichler, Stefan & Ziebarth, Nicolas R., 2019. "Reprint of: The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 171(C), pages 86-104.
- Jantsje M. Mol & W. J. Wouter Botzen & Julia E. Blasch & Hans de Moel, 2020. "Insights into Flood Risk Misperceptions of Homeowners in the Dutch River Delta," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1450-1468, July.
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More about this item
Keywords
Risk perceptions; Expectations; Visual linear scale; Magnifier scale; H1N1 flu; I10; D84; C83;All these keywords.
JEL classification:
- I10 - Health, Education, and Welfare - - Health - - - General
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
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