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Imputing consumption from Norwegian income and wealth registry data

Author

Listed:
  • Fagereng, Andreas

    (Statistics Norway)

  • Halvorsen, Elin

    (Statistics Norway)

Abstract

This paper proposes a method for computing a unique longitudinal consumption measure for the total population of Norwegian households from administrative records, covering a period of almost 20 years. Administrative data has the advantage of full population coverage, avoiding problems with attrition or underrepresentation of high-income households. This is particularly useful for improving the measurement of heterogeneity in consumption behavior, and for measuring consumption distribution and inequality. Furthermore, longitudinal micro data with full population coverage provides unique opportunities to explore the underlying developments in aggregate consumption measures over time.

Suggested Citation

  • Fagereng, Andreas & Halvorsen, Elin, 2017. "Imputing consumption from Norwegian income and wealth registry data," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 67-100.
  • Handle: RePEc:ris:iosjes:0067
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    Cited by:

    1. Erlend Eide Bø, 2020. "Taxation of Housing: Killing Several Birds with One Stone," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 534-557, September.
    2. Yongsung Chang & Jay Hong & Marios Karabarbounis & Yicheng Wang & Tao Zhang, 2022. "Income Volatility and Portfolio Choices," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 65-90, April.
    3. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2020. "Poor Little Rich Kids? The Role of Nature versus Nurture in Wealth and Other Economic Outcomes and Behaviours," Review of Economic Studies, Oxford University Press, vol. 87(4), pages 1683-1725.
    4. Andreas Fagereng & Luigi Guiso & Luigi Pistaferri, 2017. "Firm-Related Risk and Precautionary Saving Response," American Economic Review, American Economic Association, vol. 107(5), pages 393-397, May.
    5. Edmund S. Crawley & Andreas Kuchler, 2020. "Consumption Heterogeneity: Micro Drivers and Macro Implications," Finance and Economics Discussion Series 2020-005, Board of Governors of the Federal Reserve System (U.S.).
    6. Andreas Fagereng & Martin B. Holm & Gisle J. Natvik, 2021. "MPC Heterogeneity and Household Balance Sheets," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 1-54, October.
    7. Knut Are Aastveit & Ragnar Enger Juelsrud & Ella Getz Wold, 2021. "The household effects of mortgage regulation," Working Papers No 07/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    8. Serdar Ozkan & Kjetil Storesletten & Hans Holter & Elin Halvorsen, 2017. "The Distributions of Income and Consumption Risk: Evidence from Norwegian Registry Data," 2017 Meeting Papers 1404, Society for Economic Dynamics.
    9. Yongsung Chang & Jay Hong & Marios Karabarbounis & Yicheng Wang & Tao Zhang, 2022. "Income Volatility and Portfolio Choices," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 65-90, April.
    10. Alain Galli & Rina Rosenblatt-Wisch, 2022. "Analysing households' consumption and saving patterns using tax data," Working Papers 2022-03, Swiss National Bank.
    11. Kolsrud, Jonas & Landais, Camille & Spinnewijn, Johannes, 2017. "Studying Consumption Patterns using Registry Data: Lessons From Swedish Administrative Data," CEPR Discussion Papers 12402, C.E.P.R. Discussion Papers.
    12. Eika, Lasse & Mogstad, Magne & Vestad, Ola L., 2020. "What can we learn about household consumption expenditure from data on income and assets?," Journal of Public Economics, Elsevier, vol. 189(C).
    13. Scott R. Baker & Lorenz Kueng & Steffen Meyer & Michaela Pagel, 2018. "Measurement Error in Imputed Consumption," NBER Working Papers 25078, National Bureau of Economic Research, Inc.
    14. Sandra E. Black & Paul J. Devereux & Petter Lundborg & Kaveh Majlesi, 2019. "Understanding Intergenerational Mobility: The Role of Nature versus Nurture in Wealth and Other Economic Outcomes and Behaviors," Working Papers 201904, School of Economics, University College Dublin.

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    More about this item

    Keywords

    Consumption measurement; savings; household finance JEL codes: D12; D14; D31; E21; G11;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values

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