{"title":"What are the determinants of financial well-being? A Bayesian LASSO approach","authors":"Donald J. Lacombe, Nasima Khatun","doi":"10.1111/ajes.12489","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47133,"journal":{"name":"American Journal of Economics and Sociology","volume":"82 1","pages":"43-59"},"PeriodicalIF":0.9000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Economics and Sociology","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajes.12489","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2
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.
期刊介绍:
The American Journal of Economics and Sociology (AJES) was founded in 1941, with support from the Robert Schalkenbach Foundation, to encourage the development of transdisciplinary solutions to social problems. In the introduction to the first issue, John Dewey observed that “the hostile state of the world and the intellectual division that has been built up in so-called ‘social science,’ are … reflections and expressions of the same fundamental causes.” Dewey commended this journal for its intention to promote “synthesis in the social field.” Dewey wrote those words almost six decades after the social science associations split off from the American Historical Association in pursuit of value-free knowledge derived from specialized disciplines. Since he wrote them, academic or disciplinary specialization has become even more pronounced. Multi-disciplinary work is superficially extolled in major universities, but practices and incentives still favor highly specialized work. The result is that academia has become a bastion of analytic excellence, breaking phenomena into components for intensive investigation, but it contributes little synthetic or holistic understanding that can aid society in finding solutions to contemporary problems. Analytic work remains important, but in response to the current lop-sided emphasis on specialization, the board of AJES has decided to return to its roots by emphasizing a more integrated and practical approach to knowledge.