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

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Author Info
David A. Penn

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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.

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Publisher Info
Paper provided by Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200506.

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Date of creation: Jul 2005
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Handle: RePEc:mts:wpaper:200506

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Related research
Keywords: Missing Data; Multiple Imputation;

Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. James O. Bukenya & Tesfa G. Gebremedhin & Peter V. Schaeffer, 2003. "Analysis of Quality of Life and Rural Development: Evidence from West Virginia Data," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 34(2), pages 202-218. [Downloadable!] (restricted)
  2. Easterlin, Richard A., 2001. "Subjective well-being and economic analysis: a brief introduction," Journal of Economic Behavior & Organization, Elsevier, vol. 45(3), pages 225-226, July. [Downloadable!] (restricted)
  3. McBride, Michael, 2001. "Relative-income effects on subjective well-being in the cross-section," Journal of Economic Behavior & Organization, Elsevier, vol. 45(3), pages 251-278, July. [Downloadable!] (restricted)
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This page was last updated on 2009-11-27.

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