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Are Risk Attitudes Fixed Factors or Fleeting Feelings?

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Abstract

We investigate the stability of measured risk attitudes over time, using a 13-year longitudinal sample of individuals in the National Longitudinal Survey of Youth 1979. We find that an individual’s risk aversion changes systematically in response to personal economic circumstances. Risk aversion increases with lengthening spells of employment and time out of labor force, and decreases with lengthening unemployment spells. However, the most important result is that the majority of the variation in risk aversion is due to changes in measured individual tastes over time and not to variation across individuals. These findings that measured risk preferences are endogenous and subject to substantial measurement errors suggest caution in interpreting coefficients in models relying on contemporaneous, one-time measures of risk preferences.

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Notes

  1. The Panel Study of Income Dynamics (PSID), the Health and Retirement Study (HRS), and the Socioeconomic Panel (SOEP) also provide hypothetical lifetime income gamble questions. Several studies show that the measures of risk attitudes elicited from the traditional lottery-type survey questions are significantly related to several behaviors such as holding stocks, being self-employed, participating in sports, and smoking (Barsky et al. 1997; Dohmen et al. 2012). Such risky behavior can be alternative measures of risk attitudes.

  2. For robustness, we also used a balanced panel data. As discussed below, the results are not sensitive to the use of a balanced panel data.

  3. See Appendix 1 for full derivation of Eq. (1).

  4. Marital status, fertility behavior, and education may be a consequence of risk preferences rather than a causal factor. However, none of our results are sensitive to the inclusion or exclusion of these factors, and so we include them for completeness.

  5. The exception is Barsky et al. (1997) who used a sample of 50–70 year-olds from the Health and Retirement Study (HRS) and found that risk aversion starts to decrease at age 60.

  6. A further robustness check was undertaken by estimating the Eq. (3) over a 4-year time span. The result is reported in Appendix Table 7. Several economic variables lost the statistics’ significance based on the fixed effects model. The only statistically significant economic variable is employment duration. Nevertheless, we still conclude the same for the joint significance test—economic factors are still jointly significant (F 7,n-7  = 3, p = 0.004) while the individual demographics are not jointly significant (F 5,n-5  = 1.78, p > 0.1). The within variance also remains at 55%. The random effects estimation shows generally consistent results with those based on the 13 year time span.

  7. Expanding the sample to include individuals with only partial information on demographic or economic variables does not change our conclusions. See Appendix Table 8.

References

  • Andersen S, Harrison GW, Lau MI (2008) Lost In State Space: Are Preferences Stable? Int Econ Rev 49(3):1091–1112

    Article  Google Scholar 

  • Anderson LR, Mellor JM (2009) Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure. J Risk Uncertain 39(2):137–160

    Article  Google Scholar 

  • Baltagi BH, Song SH (2006) Unbalanced panel data: A survey. Stat Pap 47(4):493–523

    Article  Google Scholar 

  • Barseghyan L, Prince J, Teitelbaum JC (2011) Are Risk Preferences Stable across contexts? Evidence from Insurable Data. Am Econ Rev 101(2):591–631

    Article  Google Scholar 

  • Barsky RB, Juster FT, Kimball MS, Shapiro MD (1997) Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study. Q J Econ 112(2):537–579

    Article  Google Scholar 

  • Bellemare MF, Brown ZS (2010) On The (Mis) Use of Wealth as a Proxy For Risk Aversion. Am J Agric Econ 92(1):273–282

    Article  Google Scholar 

  • Binswanger HP (1980) Attitudes toward Risk: Experimental Measurement in Rural India. Am J Agric Econ 62(3):395–407

    Article  Google Scholar 

  • Brown S, Dietrich M, Ortiz-Nuñez A, Taylor K (2011) Self-employment and attitudes towards risk: Timing and unobserved heterogeneity. J Econ Psychol 32(3):425–433

    Article  Google Scholar 

  • Chuang Y, Schechter L (2015) Stability of experimental and survey measures of risk, time, and social preferences: A review and some new results. J Dev Econ 117:151–170

    Article  Google Scholar 

  • Di Mauro C, Musumeci R (2011) Linking risk aversion and type of employment. J Socio-Econ 40(5):490–495

    Article  Google Scholar 

  • Dohmen T, Falk A, Huffman D, Sunde U (2012) The Intergenerational Transmission of Risk and Trust Attitudes. Rev Econ Stud 79(2):645–677

    Article  Google Scholar 

  • Donkers B, Melenberg B, Van Soest A (2001) Estimating risk attitudes using lotteries: A large sample approach. J Risk Uncertain 22(2):165–195

    Article  Google Scholar 

  • Drichoutis AC, Nayga RM (2013) Eliciting risk and time preferences under induced mood states. J Socio-Econ 45:18–27

    Article  Google Scholar 

  • Feinberg RM (1977) Risk Aversion, Risk, and the Duration of Unemployment. Rev Econ Stat 59(3):264–271

    Article  Google Scholar 

  • Gerrans P, Faff R, Hartnett N (2015) Individual financial risk tolerance and the global financial crisis. Account Finance 55(1):165–185

    Article  Google Scholar 

  • Guiso L, Paiella M (2008) Risk aversion, wealth, and background risk. J Eur Econ Assoc 6(6):1109–1150

    Article  Google Scholar 

  • Halek M, Eisenhauer JG (2001) Demography of Risk Aversion. J Risk Insur 68(1):1–24

    Article  Google Scholar 

  • Harrison GW, Johnson E, McInnes MM, Rutstrom EE (2005) Temporal stability of estimates of risk aversion. Appl Financ Econ Lett 1(1):31–35

    Article  Google Scholar 

  • Hartog J, Ferrer-i-Carbonell A, Jonker N (2002) Linking measured risk aversion to individual characteristics. Kyklos 55(1):3–26

    Article  Google Scholar 

  • Hoffmann AO, Post T, Pennings JM (2013) Individual investor perceptions and behavior during the financial crisis. J Bank Financ 37(1):60–74

    Article  Google Scholar 

  • Holt CA, Laury SK (2005) Risk Aversion and Incentive Effects: New Data without Order Effects. Am Econ Rev 95(3):902–904

    Article  Google Scholar 

  • Kimball MS, Sahm CR, Shapiro MD (2008) Imputing risk tolerance from survey responses. J Am Stat Assoc 103(483):1028–1038

    Article  Google Scholar 

  • Lerner JS, Keltner D (2000) Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognit Emot 14(4):473–493

    Article  Google Scholar 

  • Love RO, Robinson LJ (1984) An Empirical Analysis of The International Stability of Risk Preference. South J Agric Econ 16(1):159–165

    Article  Google Scholar 

  • Malmendier U, Nagel S (2011) Depression Babies: Do Macroeconomic Experiences Affect Risk Taking? Q J Econ 126(1):373–416

    Article  Google Scholar 

  • Necker S, Ziegelmeyer M (2016) Household risk taking after the financial crisis. Q Rev Econ Finance 59:141–160

    Article  Google Scholar 

  • Nijman T, Verbeek M (1992) Nonresponse in panel data: The impact on estimates of a life cycle consumption function. J Appl Econ 7(3):243–257

    Article  Google Scholar 

  • Raghunathan R, Pham MT (1999) All Negative Moods Are Not Equal: Motivational Influences of Anxiety and Sadness on Decision Making. Organ Behav Hum Decis Process 79(1):56–77

    Article  Google Scholar 

  • Riley WB, Chow KV (1992) Asset Allocation and Individual Risk Aversion. Financ Anal J 48(6):33–27

    Article  Google Scholar 

  • Roszkowski MJ, Cordell DM (2009) A longitudinal perspective on financial risk tolerance: rank-order and mean level stability. Int J Behav Account Finance 1(2):111–134

    Article  Google Scholar 

  • Sahm CR (2012) How Much Does Risk Tolerance Change? Q J Finance 2(4):1250020

    Article  Google Scholar 

  • Stephenson SP (1976) The Economics of Youth Job Search Behavior. Rev Econ Stat 58(1):106–111

    Article  Google Scholar 

  • Weber M, Weber EU, Nosić A (2013) Who takes risks when and why: Determinants of changes in investor risk taking. Rev Finance 17(3):847–883

    Article  Google Scholar 

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Correspondence to Insoo Cho.

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Appendices

Appendix 1

With n individuals in the sample and 4 temporally separated measures of risk aversion for each individual i, the total sum of square (TSS) is given by

$$ {\displaystyle \begin{array}{l} TSS=\sum \limits_{i=1}^n\sum \limits_{t=1}^4{\left({\theta}_{it}-\overline{\theta}\right)}^2\\ {}=\sum \limits_{i=1}^n\sum \limits_{t=1}^4{\left({\theta}_{it}-{\overline{\theta}}_{i0}+{\overline{\theta}}_{i0}-\overline{\theta}\right)}^2\\ {}=\sum \limits_{i=1}^n\sum \limits_{t=1}^4{\left\{\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)+\left({\overline{\theta}}_{i0}-\overline{\theta}\right)\right\}}^2\\ {}=\sum \limits_{i=1}^n\sum \limits_{t=1}^4\left\{{\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)}^2+2\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)\left({\overline{\theta}}_{i0}-\overline{\theta}\right)+{\left({\overline{\theta}}_{i0}-\overline{\theta}\right)}^2\right\}\end{array}} $$

where \( \overline{\theta}=\frac{1}{n}\sum \limits_{i=1}^n{\overline{\theta}}_{i0} \) and \( {\overline{\theta}}_{i0}=\frac{1}{4}\sum \limits_{t=1}^4{\theta}_{it} \).

Summing over the first t yields

$$ {\displaystyle \begin{array}{l} TSS=\sum \limits_{i=1}^n\left\{\sum \limits_{t=1}^4{\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)}^2+2\left({\overline{\theta}}_{i0}-\overline{\theta}\right)\sum \limits_{t=1}^4\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)+4{\left({\overline{\theta}}_{i0}-\overline{\theta}\right)}^2\right\}\\ {}=\sum \limits_{i=1}^n\left\{\sum \limits_{t=1}^4{\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)}^2+2\left({\overline{\theta}}_{i0}-\overline{\theta}\right)\left(4{\overline{\theta}}_{i0}-4{\overline{\theta}}_{i0}\right)+4{\left({\overline{\theta}}_{i0}-\overline{\theta}\right)}^2\right\}\\ {}=\sum \limits_{i=1}^n\sum \limits_{t=1}^4{\left({\theta}_{it}-{\overline{\theta}}_{i0}\right)}^2+\sum \limits_{i=1}^n4{\left({\overline{\theta}}_{i0}-\overline{\theta}\right)}^2\end{array}} $$

Appendix 2

Table 7 Effects of economic factors on change in risk aversion over shorter time with an unbalanced panel of data (2002–2006)

Appendix 3

Table 8 Effects of economic factors on change in risk aversion over time with different total observations

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Cho, I., Orazem, P.F. & Rosenblat, T. Are Risk Attitudes Fixed Factors or Fleeting Feelings?. J Labor Res 39, 127–149 (2018). https://doi.org/10.1007/s12122-018-9262-2

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