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Imputing total expenditures from a non-exhaustive list of items: An empirical assessment using the SAVE data set

  • Lothar Essig

    ()

    (Munich Center for the Economics of Aging (MEA))

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    General purpose surveys typically refrain from using an exhaustive list of consumption expenditure items since the gain of more precise data on consumption is usually more than offset by the large increase in interview time and respondent effort which reduces re-sponse willingness. An alternative is to ask respondents a non-exhaustive list of consumption expenditure items and use those items to impute total consumption by the use of an external data source. This paper uses the SAVE (internal) and EVS (external) data sets to apply such a procedure.

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    File URL: http://mea.mpisoc.mpg.de/uploads/user_mea_discussionpapers/7z5yhps9x0jf9dnx_81-2005.pdf
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    Paper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 05081.

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    Date of creation: 21 Jun 2005
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    Handle: RePEc:mea:meawpa:05081
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    1. Joachim Winter, 2004. "Response bias in survey-based measures of household consumption," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-12.
    2. Michael D. Hurd & Daniel McFadden & Harish Chand & Li Gan & Angela Menill & Michael Roberts, 1998. "Consumption and Savings Balances of the Elderly: Experimental Evidence on Survey Response Bias," NBER Chapters, in: Frontiers in the Economics of Aging, pages 353-392 National Bureau of Economic Research, Inc.
    3. Erich Battistin & Raffaele Miniaci & Guglielmo Weber, 2003. "What do we learn from recall consumption data?," Temi di discussione (Economic working papers) 466, Bank of Italy, Economic Research and International Relations Area.
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