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Subjective Financial Well-Being An Explorative Analysis by Algorithmic Modeling Techniques

Christiaans, Thomas; Lübke, Karsten; Richenhagen, Julia

Abstract:
Taking non-rational behavior and incomplete information into account, actual income distributions and financial well-being probably deviate from their perceptions. Based on a questionnaire sample of more than 45,000 Germans we investigate which socio-economic variables and combinations of these may help to model subjective financial well-being. Additionally to age, gender, and regional information, (perceived) household income and local and country-wide rankings of income distribution are used as possible modeling variables. The link is investigated by means of ordinary least squares regression as well as tree based methods. It turns out that on our sample, additionally to subjective income class and reported actual income, age, region and, though to a lower extend, gender help to model subjective financial well-being.

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Verlagsausgabe §
DOI: 10.5445/KSP/1000085951/13
Veröffentlicht am 14.08.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2363-9881
KITopen-ID: 1000097486
Erschienen in Archives of Data Science, Series A (Online First)
Band 4
Heft 1
Seiten 18 S. online
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