Abstract
Using three waves (2005, 2009 and 2013) of the Household, Income and Labour Dynamics in Australia Survey (HILDA), and linear regression and probit analyses, we examined the relationship between personality and own earnings, spousal earnings, and marriage. Specifically, we were interested in whether an individual’s personality traits re predictive of these three outcomes. As part of these analyses, we first established that adult personality was stable diminishing the probability of reverse causality. Our empirical results confirmed previous findings on the effect of own personality on own earnings. We then turned to the effect of spousal personality on earnings, the first study to examine this by gender. Regression estimates indicated that for men, having a conscientious wife was positively correlated with his earnings. There was some evidence that having an extraverted husband complement a woman’s earnings. These results highlight the importance of non-cognitive skills on earnings and emphasize the value of looking separately by gender. We also found that personality traits played an important factor in how people match in the marriage market, underscoring an important link between the marriage market and the labor market.
Similar content being viewed by others
Notes
Benefits from specialization accrue when one spouse specializes in home production and the other in market work. Joint consumption is defined as the benefits couples receive from complementarities in consumption of household public goods and time.
The idea of spousal characteristics spilling over onto own outcomes is not novel nor is it limited to labor market or personality characteristics. For example, Fletcher (2009) examines spillover effects from spousal mental illness to one’s own mental health while Bubonya et al. (2017) look at the effect of spousal job loss on mental health and there is evidence also that spousal characteristics affects one’s own health (Monden et al. 2003).
See https://www.studyinaustralia.gov.au/english/australian-education/education-system for greater discussion of the educational levels in Australia. In particular, year 12 is the completion of secondary education. See https://www.tafecourses.com.au/resources/guide-to-tafe-courses-in-australia/ for a discussion of vocational/technical certificates and diplomas which includes both Certificates III and IV and Diploma.
The HILDA survey asks “About how many hours do you spend on housework in an average week, such as time spent cooking, cleaning and doing the laundry?” The decision making index contains seven questions about how households make decisions about social life, raising children, spending and making large purchases, and how much time to spend in paid work.
We test to see if there are differences between cohabiting versus married couples and discuss these results later in the paper.
See https://www.studyinaustralia.gov.au/english/australian-education/education-system for greater discussion of the educational levels in Australia. In particular, year 12 is the completion of secondary education. See https://www.tafecourses.com.au/resources/guide-to-tafe-courses-in-australia/ for a discussion of vocational/technical certificates and diplomas which includes both Certificates III and IV and Diploma. The omitted category in our regressions is the highest education level (Postgrad—masters/doctorate).
We created this variable by dividing weekly earnings by weekly hours as they suggested by HILDA.
Our data are measured at the individual level, not the dyad level. Thus, it is most appropriate to cluster the standard errors by individual.
These results are available in the Online Appendix Table 2.
We also ran these regressions without the occupational dummy variables and the results were largely unchanged. These results are available upon request. Controlling for occupation allows us to show how personality can help explain some of the remaining ‘unexplained variation’ in hourly earnings which is our main question.
All appendix tables discussed are available online.
Another way to deal with the endogeneity of spousal personality in the own hourly earnings equation would be to use an Instrumental Variables estimator. Such an approach would require an instrument that was correlated with spousal personality but not with the own hourly earnings. Unfortunately, we did not have such an instrument. An ideal instrument would randomize individuals into marriage making their spouse’s personality exogenous.
The regression results for the interaction marginal effects are shown in Online Appendix Table 6.
There is a large literature on the detrimental effect of housework on earnings particularly for women (e.g. Maani and Cruickshank 2010; Hersch 2009). Our measure of decision making was included to allow for differential bargaining power which others have found may also influence the allocation of household time. For example, Flinn et al. (2018) found using the HILDA data that personality was an important predictor of household bargaining power.
Lower values of this index indicate that the individual whose wages are the dependent variable is more likely to make household decisions.
References
Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? International Journal of Selection and Assessment, 9(1–2), 9–30. https://doi.org/10.1111/1468-2389.00160.
Becker, G. S. (1973). A theory of marriage: Part I. Journal of Political Economy, 81(4), 813–846.
Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of Economic Literature, 55(3), 789–865. https://doi.org/10.1257/jel.20160995.
Borjas, G. J., & Van Ours, J. C. (2010). Labor economics (pp. 346–382). Boston: McGraw-Hill/Irwin.
Borra, C. Sevilla, A., & Browning, M. (2017). Marriage and Housework. HCEO Working Paper Series. #2017-049. Retrieved February 15, 2020, from https://humcap.uchicago.edu/RePEc/hka/wpaper/Borra_Browning_Sevilla_2017_marriage-housework.pdf.
Bubonya, M., Cobb-Clark, D. A., & Wooden, M. (2017). Job loss and the mental health of spouses and adolescent children. IZA Journal of Labor Economics, 6(1), 6. https://doi.org/10.1186/s40172-017-0056-1.
Cobb-Clark, D. A., & Schurer, S. (2012). The stability of big-five personality traits. Economics Letters, 115(1), 11–15. https://doi.org/10.1016/j.econlet.2011.11.015.
Cobb-Clark, D. A., & Tan, M. (2011). Noncognitive skills, occupational attainment, and relative wages. Labour Economics, 18(1), 1–13.
Duckworth, A. L., Weir, D. R., Tsukayama, E., & Kwok, D. (2012). Who does well in life? Conscientious adults excel in both objective and subjective success. Frontiers in Psychology, 3, 356. https://doi.org/10.3389/fpsyg.2012.00356.
Dupuy, A., & Galichon, A. (2014). Personality traits and the marriage market. Journal of Political Economy, 122(6), 1271–1319.
Edwards, M. E., Plotnick, R., & Klawitter, M. (2001). Do attitudes and personality characteristics affect socioeconomic outcomes? The case of welfare use by young women. Social Science Quarterly, 82(4), 817–843. https://doi.org/10.1111/0038-4941.00062.
Elkins, R. K., Kassenboehmer, S. C., & Schurer, S. (2017). The stability of personality traits in adolescence and young adulthood. Journal of Economic Psychology, 60, 37–52. https://doi.org/10.1016/j.joep.2016.12.005.
Evans, H.A. & Gray, E. (2018). Marriage and happiness: Changing Australian attitudes to marriage. In Australian Social Attitudes IV: The age of insecurity. Sydney University Press. Retrieved October 2, 2020, from https://hdl.handle.net/1885/159574.
Fletcher, J. (2009). All in the family: Mental health spillover effects between working spouses. The BE Journal of Economic Analysis & Policy. https://doi.org/10.2202/1935-1682.1967.
Fletcher, J. M. (2013). The effects of personality traits on adult labor market outcomes: Evidence from siblings. Journal of Economic Behavior & Organization, 89, 122–135. https://doi.org/10.1016/j.jebo.2013.02.004.
Flinn, C. J., Todd, P. E., & Zhang, W. (2018). Personality traits, intra-household allocation and the gender wage gap. European Economic Review, 109, 191–220. https://doi.org/10.1016/j.euroecorev.2017.11.003.
Gensowski, M. (2018). Personality, IQ, and lifetime earnings. Labour Economics, 51, 170–183. https://doi.org/10.1016/j.labeco.2017.12.004.
Hahn, M. H., & Haisken-DeNew, J. P. (2013). Panel Whiz and the Australian longitudinal data infrastructure in economics. Australian Economic Review, 46(3), 379–386. https://doi.org/10.1111/j.1467-8462.2013.12010.x.
Heckman, J. J., Humphries, J. E., & Veramendi, G. (2018). Returns to education: The causal effects of education on earnings, health, and smoking. Journal of Political Economy, 126(S1), S197–S246.
Heckman, J. J., & Rubinstein, Y. (2001). The importance of noncognitive skills: Lessons from the GED testing program. American Economic Review, 91(2), 145–149.
Heineck, G. (2011). Does it pay to be nice? Personality and earnings in the United Kingdom. ILR Review, 64(5), 1020–1038.
Hersch, J. (2009). Home production and wages: Evidence from the American Time Use Survey. Review of Economics of the Household, 7(2), 159–178. https://doi.org/10.1007/s11150-009-9051-z.
Hewitt, B., & Baxter, J. (2012). Who gets married in Australia? The characteristics associated with a transition into first marriage 2001–6. Journal of Sociology, 48(1), 43–61. https://doi.org/10.1177/1440783311411957.
Jepsen, L. K. (2005). The relationship between wife’s education and husband’s earnings: Evidence from 1960 to 2000. Review of Economics of the Household, 3(2), 197–214.
Jolly, N. A. (2019). Female earnings and the returns to spousal education over time. Journal of Family and Economic Issues. https://doi.org/10.1007/s10834-019-09637-z.
Lam, D. (1988). Marriage markets and assortative mating with household public goods: Theoretical results and empirical implications. Journal of Human Resources, 23, 462–487.
Luft, H. S. (1975). The impact of poor health on earnings. The Review of Economics and Statistics, 57, 43–57.
Lundberg, S. (2011). Psychology and family economics. Perspektiven der Wirtschaftspolitik, 12(Supplement), 66–81.
Lundberg, S. (2012). Personality and marital surplus. IZA Journal of Labor Economics, 1(1), 3. https://doi.org/10.1186/2193-8997-1-3.
Lundberg, S. (2017). Non-cognitive skills as human capital. In Charles R. Hulten & Valerie A. Ramey Education, Skills, and Technical Change. Implications for Future US GDP Growth. (pp. 219–243).
Maani, S. A., & Cruickshank, A. A. (2010). What is the effect of housework on the market wage, and can it explain the gender wage gap? Journal of Economic Surveys, 24(3), 402–427. https://doi.org/10.1111/j.1467-6419.2009.00586.x.
Mangiavacchi, L., Piccoli, L., & Rapallini, C. (2018). Personality traits and household consumption choices. IZA Working paper: 11881. Retrieved February 15, 2020, from https://www.econstor.eu/bitstream/10419/185341/1/dp11881.pdf.
Mischel, W., & Shoda, Y. (2008). Toward a unified theory of personality. Handbook of Personality: Theory and Research, 3, 208–241.
Monden, C. W., Van Lenthe, F., De Graaf, N. D., & Kraaykamp, G. (2003). Partner's and own education: Does who you live with matter for self-assessed health, smoking and excessive alcohol consumption? Social Science & Medicine, 57(10), 1901–1912. https://doi.org/10.1016/s0277-9536(03)00055-8.
Mueller, G., & Plug, E. (2006). Estimating the effect of personality on male and female earnings. ILR Review, 60(1), 3–22. https://doi.org/10.1177/001979390606000101.
Nyhus, E. K., & Pons, E. (2005). The effects of personality on earnings. Journal of Economic Psychology, 26(3), 363–384. https://doi.org/10.1016/j.joep.2004.07.001.
Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A., & Goldberg, L. R. (2007). The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspectives on Psychological Science, 2(4), 313–345.
Workplace Gender Equality Agency Fact Sheet. (2019). Retrieved October 6, 2019, from, https://www.wgea.gov.au/data/fact-sheets/australias-gender-pay-gap-statistics.
Solomon, B. C., & Jackson, J. J. (2014). The long reach of one’s spouse: Spouses’ personality influences occupational success. Psychological Science, 25(12), 2189–2198. https://doi.org/10.1177/0956797614551370.
Stevenson, B., & Wolfers, J. (2007). Marriage and divorce: Changes and their driving forces. Journal of Economic Perspectives, 21(2), 27–52. https://doi.org/10.1257/jep.21.2.27.
Tunny, G. (2006). Educational attainment in Australia. Economic Round-up, (Autumn 2006), 1. The Treasury, Canberra. Retrieved October 15, 2019, from https://treasury.gov.au/publication/economic-roundup-autumn-2006/educational-attainment-in-australia.
Waldfogel, J. (1997). The effect of children on women's wages. American Sociological Review, 62, 209–217.
Xu, Y., Beller, A. H., Roberts, B. W., & Brown, J. R. (2015). Personality and young adult financial distress. Journal of Economic Psychology, 51, 90–100. https://doi.org/10.1016/j.joep.2015.08.010.
Acknowledgements
We thank our research assistant, Enfeng Zhou, for invaluable help and Andrew Hussey, Terra McKinnish and Allan Zebedee for helpful comments on earlier drafts of this paper as well as participants at the 2018 SEHO meetings, the 2017 PAA meetings and the 2017 SEA meetings.
Funding
This paper uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Social Services (DSS) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either DSS or the Melbourne Institute.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to disclose.
Research Involving Human Participants and/or Animals
The authors made use of the Household Income and Labour Dynamics Survey based in Australia (HILDA) data and received clearance to do so.
Informed Consent
This study uses publicly available, secondary data from the HILDA survey. For this type of study, formal consent is not required.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Appendices
Appendix 1
Definitions of the Big Five Characteristics (These are adapted from: https://www.psychometric-success.com/personality-tests/personality-tests-big-5-aspects.htm. Accessed 3/20/2017)
Extraversion
Extraversion is defined by pronounced engagement with the external world. Extraverts enjoy being with people, are energetic, and frequently experience positive emotions. They tend to be enthusiastic, action-oriented, individuals. In group settings they like to talk, assert themselves, and draw attention to themselves.
Agreeableness
Agreeableness reflects individual differences in concern with cooperation and social harmony. Agreeable individuals place a premium on getting along with others. They tend to be considerate, friendly, generous, helpful, and willing to compromise. Agreeable people have an optimistic view of human nature.
Conscientiousness
Conscientiousness concerns the way in which we control, regulate, and direct our impulses both bad and good. Impulses are not inherently bad; occasionally time constraints require a snap decision, and acting on our first impulse can be an effective response. Also, in times of play rather than work, acting spontaneously and impulsively can be fun. Impulsive individuals can be seen by others as colorful and fun-to-be-with.
Neuroticism (Converse is Emotional Stability)
Neuroticism refers to the tendency to experience negative feelings. People with neuroticism tend to have more depressed moods. They often suffer from feelings of guilt, envy, anger and anxiety, more frequently and more severely than other individuals.
Openness to Experience
Open people are intellectually curious, have an advanced appreciation of art, and are sensitive to beauty. They tend to be more aware of their feelings and to act in individualistic and nonconforming ways. Intellectuals typically score high on Openness to Experience; consequently, this factor has also been called Culture or Intellect.
Rights and permissions
About this article
Cite this article
Averett, S.L., Bansak, C. & Smith, J.K. Behind Every High Earning Man is a Conscientious Woman: The Impact of Spousal Personality on Earnings and Marriage. J Fam Econ Iss 42, 29–46 (2021). https://doi.org/10.1007/s10834-020-09692-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10834-020-09692-x