Financial Well-Being in an Urban Setting: An Application of Multiple Imputation

David Penn ()

No 200506, Working Papers from Middle Tennessee State University, Department of Economics and Finance

Abstract: Many studies delete incomplete data prior to model estimation, resulting in less efficient and potentially biased parameter estimates. Multiple imputation provides a model-based method of simultaneously estimating missing values for several variables, conditioned on the observed values. The technique is applied to financial well-being data collected by survey from householders in Oklahoma County, Oklahoma. Ordered logistic models are estimated for both complete cases and multiply imputed data. Estimates from the complete case model are somewhat biased and less efficient compared with the multiple imputation model.

Keywords: Missing Data; Multiple Imputation (search for similar items in EconPapers)
JEL-codes: C15 (search for similar items in EconPapers)
Date: 2005-07
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Persistent link: https://EconPapers.repec.org/RePEc:mts:wpaper:200506

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