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Combining Household Income and Expenditure Data in Policy Simulations

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Author Info
Sutherland, Holly
Taylor, Rebecca
Gomulka, Joanna

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Abstract

The analysis of the distributional impact of fiscal policy proposals often requires information on household expenditures and incomes. It is unusual to have one data source with information on both and this problem is generally overcome with statistical matching of independent data sources. In this paper Grade Correspondence Analysis (GCA) is investigated as a tool to improve the matching process. GCA draws out the relationships between the common variables to enable the sample to be partitioned into more homogeneous groups, prior to matching. An evaluation is conducted using the UK Family Expenditure Survey, which is unusual in containing both income and expenditure at a detailed level of disaggregation. Imputed expenditures are compared with actual expenditures through the use of indirect tax simulations. The most successful methods are then employed to enhance data from the Family Resources Survey and the synthetic dataset is used as a microsimulation model database. Copyright 2002 by The International Association for Research in Income and Wealth.

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Article provided by Blackwell Publishing in its journal Review of Income & Wealth.

Volume (Year): 48 (2002)
Issue (Month): 4 (December)
Pages: 517-36
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Handle: RePEc:bla:revinw:v:48:y:2002:i:4:p:517-36

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References listed on IDEAS
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. Dayal N & Gomulka J & Mitton L & Sutherland H & Taylor R, 2000. "Enhancing Family Resources Survey income data with expenditure data from the Family Expenditure Survey: data comparisons," Microsimulation Unit Research Notes mu/rn/40, Microsimulation Unit at the Institute for Social and Economic Research. [Downloadable!]
  2. Taylor R & Sutherland H & Gomulka J, 2001. "Using POLIMOD to evaluate alternative methods of expenditure imputation," Microsimulation Unit Research Notes mu/rn/38, Microsimulation Unit at the Institute for Social and Economic Research. [Downloadable!]
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  1. Peichl, Andreas & Schaefer, Thilo, 2006. "Documentation FiFoSiM : integrated tax benefit microsimulation and CGE model," FiFo-CPE Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 06-10, University of Cologne, CPE - Cologne Center for Public Economics. [Downloadable!]
  2. Sonsbeek, J.M. van & Gradus, R.H.J.M., 2005. "A microsimulation analysis of the 2006 regime change in the Dutch disability scheme," Serie Research Memoranda 0012, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. [Downloadable!]
  3. Dayal N & Gomulka J & Mitton L & Sutherland H & Taylor R, 2000. "Enhancing Family Resources Survey income data with expenditure data from the Family Expenditure Survey: data comparisons," Microsimulation Unit Research Notes mu/rn/40, Microsimulation Unit at the Institute for Social and Economic Research. [Downloadable!]
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