On the coefficient of variation as a criterion for decision under risk
The coefficient of variation (CV) has been advocated as a measure of risk sensitivity in meta-analyses of data for risky choices by animals and humans. We examine properties of the CV measure. We demonstrate that the CV has unsatisfactory normative properties because it is inconsistent with preferen...
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Published in | Journal of mathematical psychology Vol. 54; no. 4; pp. 387 - 394 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.08.2010
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Online Access | Get full text |
ISSN | 0022-2496 1096-0880 |
DOI | 10.1016/j.jmp.2010.01.002 |
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Abstract | The coefficient of variation (CV) has been advocated as a measure of risk sensitivity in meta-analyses of data for risky choices by animals and humans. We examine properties of the CV measure. We demonstrate that the CV has unsatisfactory normative properties because it is inconsistent with preference for more than for less of the reward medium. Whether or not the CV succeeds as a descriptive criterion depends on its consistency or inconsistency with data. We report two experiments designed to test the distinctive properties of the CV. The experiments involve human subjects motivated by salient monetary payoffs. Data from the experiments do not support the CV as a descriptive criterion for decision under risk. We also use data from an experiment designed to test for the incidence of patterns of small-stakes risk aversion used in concavity calibration. These data also do not support the CV as a good descriptive criterion. |
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AbstractList | The coefficient of variation (CV) has been advocated as a measure of risk sensitivity in meta-analyses of data for risky choices by animals and humans. We examine properties of the CV measure. We demonstrate that the CV has unsatisfactory normative properties because it is inconsistent with preference for more than for less of the reward medium. Whether or not the CV succeeds as a descriptive criterion depends on its consistency or inconsistency with data. We report two experiments designed to test the distinctive properties of the CV. The experiments involve human subjects motivated by salient monetary payoffs. Data from the experiments do not support the CV as a descriptive criterion for decision under risk. We also use data from an experiment designed to test for the incidence of patterns of small-stakes risk aversion used in concavity calibration. These data also do not support the CV as a good descriptive criterion. |
Author | Sadiraj, Vjollca Cox, James C. |
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CitedBy_id | crossref_primary_10_3390_e25030441 crossref_primary_10_1016_j_jmp_2010_03_003 crossref_primary_10_2139_ssrn_2618991 crossref_primary_10_1016_j_jebo_2018_11_010 crossref_primary_10_2139_ssrn_2966090 crossref_primary_10_1016_j_strusafe_2021_102117 crossref_primary_10_2139_ssrn_2672628 crossref_primary_10_1080_10168737_2017_1315158 crossref_primary_10_1016_j_apm_2021_10_025 crossref_primary_10_2139_ssrn_2612984 |
Cites_doi | 10.2307/2555063 10.1016/0022-0531(70)90038-4 10.1007/BF00122574 10.2307/1911158 10.1034/j.1600-0706.2000.880323.x 10.1016/j.geb.2005.08.001 10.1037/0033-295X.111.2.430 10.1111/1468-0262.00158 |
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References | Cox, Sadiraj (br000005) 2006; 56 Harrison, Rutstrom (br000020) 2008; Vol. 12 Quiggin (br000035) 1993 Rothschild, Stiglitz (br000045) 1970; 2 Yaari (br000065) 1987; 55 Hadar, Russell (br000015) 1969; 59 Knight (br000025) 1921 Loomes, Starmer, Sudgen (br000030) 1992; 59 Tversky, Kahneman (br000055) 1992; 5 Georgia State University. Rabin (br000040) 2000; 68 Shafir (br000050) 2000; 88 Weber, Shafir, Blais (br000060) 2004; 111 Cox, J. C., Sadiraj, V., Vogt, B., & Dasgupta, U. (2009). Is there a plausible theory for decision under risk? Harrison (10.1016/j.jmp.2010.01.002_br000020) 2008; Vol. 12 Knight (10.1016/j.jmp.2010.01.002_br000025) 1921 Rabin (10.1016/j.jmp.2010.01.002_br000040) 2000; 68 Weber (10.1016/j.jmp.2010.01.002_br000060) 2004; 111 Shafir (10.1016/j.jmp.2010.01.002_br000050) 2000; 88 Loomes (10.1016/j.jmp.2010.01.002_br000030) 1992; 59 Quiggin (10.1016/j.jmp.2010.01.002_br000035) 1993 Cox (10.1016/j.jmp.2010.01.002_br000005) 2006; 56 Tversky (10.1016/j.jmp.2010.01.002_br000055) 1992; 5 10.1016/j.jmp.2010.01.002_br000010 Rothschild (10.1016/j.jmp.2010.01.002_br000045) 1970; 2 Hadar (10.1016/j.jmp.2010.01.002_br000015) 1969; 59 Yaari (10.1016/j.jmp.2010.01.002_br000065) 1987; 55 |
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