3 research outputs found

    Household Use of Financial Planners: Measurement Considerations for Researchers

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    Citation: Heckman, Stuart J. and Seay, Martin C and Kim, Kyoung Tae and Letkiewicz, Jodi, Household Use of Financial Planners: Measurement Considerations for Researchers (November 2, 2016). Financial Services Review, Vol. 25, p. 427-446, 2016.Using the Certified Financial Planner (CFP) Board’s definition of financial planning, this paper evaluates the validity of the measures of financial planner use in publicly available datasets. A review of Financial Services Review, Journal of Personal Finance, Journal of Financial Planning, Journal of Family and Economic Issues, Journal of Consumer Affairs, and Journal of Financial Counseling and Planning identified seven datasets that were commonly used to investigate financial planner use. Of these, the two most promising measures were found in the Survey of Consumer Finances and the National Longitudinal Study of Youth (1979). However, an evaluation of these measures raises significant concerns related to their validity. This article critically evaluates these measures and provides insights into the development of better measures of financial planner use for the future

    College Student Debt and Anticipated Repayment Difficulty

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    This study analyzes factors associated with anticipated difficulty with repayment of debt accumulated during college using a basic model of credit risk that includes socialization processes influencing college student financial decisions. The empirical analysis uses data from the 2010 Ohio Student Financial Wellness Study. Results provide evidence of male overconfidence in financial decision making, as males are less likely than females to predict repayment difficulties. Socialization process variables, including financial management practices, financial parenting communication, and expected economic returns from education, are strongly associated with anticipated debt repayment difficulty. Inclusion of these process variables in the model results in loss of explanatory power of many of the traditional individual success variables, such as grade point average, and graduation plans
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