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  • Search: subject:"Mortality and Morbidity Risks"
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Year of publication
Subject
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Altersvorsorge 2 Consumption 2 Defined Benefits and Contributions Plans 2 Freizeit 2 Gesundheit 2 Gesundheitskosten 2 Health 2 Health Expenditures 2 Health care costs 2 Leisure 2 Mortality 2 Mortality and Morbidity Risks 2 Optimal Savings 2 Private consumption 2 Privater Konsum 2 Retirement provision 2 Savings 2 Sparen 2 Sterblichkeit 2 Theorie 2 Theory 2 microrisk reductions 1 mortality and morbidity risks 1 scenario adjustment 1 scenario rejection 1 stated preferences 1 value of a statistical life 1 willingness to pay 1
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Online availability
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Free 3
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article 1 Aufsatz im Buch 1 Book section 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 3
Author
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Mesquida, Yannis 2 St.-Amour, Pascal 2 Cameron, Trudy Ann 1 DeShazo, J. R. 1 Johnson, Erica H. 1
Published in...
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Journal of Choice Modelling 1 Research paper series / Swiss Finance Institute 1 Swiss Finance Institute Research Paper 1 Three essays in household finance 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Joint lifetime financial, work and health decisions
Mesquida, Yannis; St.-Amour, Pascal - In: Three essays in household finance, (pp. [16-59]). 2019
Persistent link: https://www.econbiz.de/10012105202
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Joint lifetime financial, work and health decisions : thrifty and healthy enough for the long run?
Mesquida, Yannis; St.-Amour, Pascal - 2016
Lifetime financial-, work- and health-related decisions made by agents are intertwined with one another. Understanding how these decisions are made is essential to gauge if saving in financial, retirement and human assets is adequate or not. This paper numerically solves, simulates, and...
Persistent link: https://www.econbiz.de/10011619243
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Cover Image
Scenario adjustment in stated preference research
Cameron, Trudy Ann; DeShazo, J. R.; Johnson, Erica H. - In: Journal of Choice Modelling 4 (2011) 1, pp. 9-43
Poorly designed stated preference (SP) studies are subject to a number of well-known biases, but many of these biases can be minimized when they are anticipated ex ante and accommodated in the studyfs design or during data analysis. We identify another source of potential bias, which we call...
Persistent link: https://www.econbiz.de/10010289606
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