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Enhancing Family Resources Survey income data with expenditure data from the Family Expenditure Survey: data comparisons

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  • Dayal N
  • Gomulka J
  • Mitton L
  • Sutherland H

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Abstract

In this paper we focus on a particular data requirement of tax-benefit microsimulation models in the UK: micro-data on both incomes and expenditures. Tax-benefit models estimate the revenue and distributional effects of changes in personal tax and social security policy. They require detailed and high quality micro-data on both incomes and expenditures for two principal reasons. Firstly, taxes may depend on either income or expenditures and it is often the combined the effect of both types of tax that is of interest. Secondly, although the distributional effects of changes are usually evaluated in terms of the distribution of household incomes, "consumption capability" rather than income itself is sometimes considered to be the concept that is most relevant (Department of Social Security, 1996a). This is better represented by the distribution of household expenditures. This second reason for needing both income and expenditure information for the same households is not confined to policy simulation models. It is also a requirement of many studies of household poverty and inequality including the Department of Social Securityís (DSS) Households Below Average Income series.

Suggested Citation

  • Dayal N & Gomulka J & Mitton L & Sutherland H, 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.
  • Handle: RePEc:ese:msimrn:mu/rn/40
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    File URL: http://www.iser.essex.ac.uk/files/msu/publications/pdf/rn40.pdf
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    1. Sutherland, Holly & Taylor, Rebecca & Gomulka, Joanna, 2002. "Combining Household Income and Expenditure Data in Policy Simulations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(4), pages 517-536, December.
    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.
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    Cited by:

    1. Marco Francesconi & Holly Sutherland & Francesca Zantomio, 2011. "A comparison of earnings measures from longitudinal and cross‐sectional surveys: evidence from the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 297-326, April.
    2. Haroon Mumtaz & Angeliki Theophilopoulou, 2015. "Monetary Policy and Inequality in the UK," Working Papers 738, Queen Mary University of London, School of Economics and Finance.
    3. Sutherland, Holly & Taylor, Rebecca & Gomulka, Joanna, 2002. "Combining Household Income and Expenditure Data in Policy Simulations," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(4), pages 517-536, December.
    4. repec:eee:eecrev:v:98:y:2017:i:c:p:410-423 is not listed on IDEAS
    5. Mumtaz, Haroon & Theophilopoulou, Angeliki, 2017. "The impact of monetary policy on inequality in the UK. An empirical analysis," European Economic Review, Elsevier, vol. 98(C), pages 410-423.
    6. 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.
    7. Mantovani, Daniela & Sutherland, Holly, 2003. "Social indicators and other income statistics using the EUROMOD baseline: a comparison with Eurostat and National Statistics," EUROMOD Working Papers EM1/03, EUROMOD at the Institute for Social and Economic Research.

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