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What are the determinants of financial well‐being? A Bayesian LASSO approach

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  • Donald J. Lacombe
  • Nasima Khatun

Abstract

The financial well‐being (FWB) of individuals is a topic that is becoming increasingly important across a multitude of disciplines. In this study, we use the 2016 National Financial Well‐Being Survey administered by the Consumer Financial Protection Bureau to assess the determinants of an individual's FWB. We identify 144 potential covariates that could explain variation in the FWB score of individuals. The statistical methodology of choice is the Bayesian LASSO, which is a covariate selection algorithm that also allows for the importance ranking of covariates. Out of the 144 potential covariates, we find that 26 have 95% credible intervals that do not contain zero. Broadly speaking, the results show that objective measures of financial competency and psychological and sociological factors contribute the bulk of the explanatory power that help explain an individual's FWB score.

Suggested Citation

  • Donald J. Lacombe & Nasima Khatun, 2023. "What are the determinants of financial well‐being? A Bayesian LASSO approach," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(1), pages 43-59, January.
    • Handle: RePEc:bla:ajecsc:v:82:y:2023:i:1:p:43-59
    DOI: 10.1111/ajes.12489
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    1. Melissa A. Z. Knoll & Carrie R. Houts, 2012. "The Financial Knowledge Scale: An Application of Item Response Theory to the Assessment of Financial Literacy," Journal of Consumer Affairs, Wiley Blackwell, vol. 46(3), pages 381-410, September.
    2. Park, Trevor & Casella, George, 2008. "The Bayesian Lasso," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 681-686, June.
    3. Dimitris Korobilis & Kenichi Shimizu, 2022. "Bayesian Approaches to Shrinkage and Sparse Estimation," Foundations and Trends(R) in Econometrics, now publishers, vol. 11(4), pages 230-354, June.
    4. Lusardi, Annamaria & Mitchell, Olivia S., 2011. "Financial literacy around the world: an overview," Journal of Pension Economics and Finance, Cambridge University Press, vol. 10(4), pages 497-508, October.
    5. Patel, Pankaj C. & Wolfe, Marcus T., 2019. "Money might not make you happy, but can happiness make you money? The value of leveraging subjective well-being to enhance financial well-being in self-employment," Journal of Business Venturing Insights, Elsevier, vol. 12(C).
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    1. Choung, Youngjoo & Chatterjee, Swarn & Pak, Tae-Young, 2023. "Digital financial literacy and financial well-being," Finance Research Letters, Elsevier, vol. 58(PB).

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