Abstract
Household survey data is the basis for this research rather than a fixed portfolio amount. The primary dataset, Survey of Income and Program Participation (SIPP), is administered by the U.S. Census Bureau to gather information and track program performance. Other datasets include Consumer Expenditure Survey (CES), Morningstar, and the Social Security Period Life Table of 2014. Various calculations are made with the data to arrive at the success rates and scaling factors. For the base model, these include end of period portfolio values, annual withdrawal amounts, annual income, annual cost of living, survival probabilities, success rates of each retirement length rolling period, probabilities weighted average of household success rates, and weighted population average success rates of a cohort group. There are additional calculation steps for the HECM model and for Social Security delayed claiming and continued work.
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Chien, CL. (2019). Research Methodology. In: Enhancing Retirement Success Rates in the United States. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-33620-2_3
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DOI: https://doi.org/10.1007/978-3-030-33620-2_3
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