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Measuring high-frequency income risk from low-frequency data

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  • Klein, Paul
  • Telyukova, Irina A.

Abstract

We estimate a monthly income process using annual longitudinal household-level income data, in order to understand the nature of income risk faced by households at high frequency, and to provide an input for models that wish to study household decision-making at higher frequency than available data. At both frequencies, idiosyncratic earnings shocks have a highly persistent component. At monthly frequency, transitory shocks account for most of the earnings variance; at annual frequency, the persistent component is dominant. We apply our estimates in the context of a standard incomplete-market model, and show that decision-making frequency per se makes a small difference.

Suggested Citation

  • Klein, Paul & Telyukova, Irina A., 2013. "Measuring high-frequency income risk from low-frequency data," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 535-542.
    • Handle: RePEc:eee:dyncon:v:37:y:2013:i:3:p:535-542
    DOI: 10.1016/j.jedc.2012.10.002
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    References listed on IDEAS

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    Cited by:

    1. Tobias Broer & Marek Kapicka & Paul Klein, 2017. "Consumption Risk Sharing with Private Information and Limited Enforcement," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 170-190, January.
    2. Jeppe Druedahl & Michael Graber & Thomas H. Jørgensen, 2021. "High Frequency Income Dynamics," CEBI working paper series 21-08, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    3. Shastitko, Andrey (Шаститко, Андрей) & Komkova, Anastasia Andreevna (Комкова, Анастасия Андреевна) & Kurdin, Alexander (Курдин, Александр), 2016. "Competition Policy and Incentives for Innovation [Экономическая Теория Об Адвокатировании Конкуренции]," Working Papers 1448, Russian Presidential Academy of National Economy and Public Administration.
    4. Edmund Crawley & Martin Holm & Håkon Tretvoll, 2022. "A Parsimonious Model of Idiosyncratic Income," Finance and Economics Discussion Series 2022-026, Board of Governors of the Federal Reserve System (U.S.).
    5. Tobias Broer & Marek Kapicka & Paul Klein, 2017. "Consumption Risk Sharing with Private Information and Limited Enforcement," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 170-190, January.
    6. Michio Suzuki, 2016. "Understanding The Costs Of Consumer Durable Adjustments," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1561-1573, July.
    7. Gustavsson, Magnus & Österholm, Pär, 2014. "Does the labor-income process contain a unit root? Evidence from individual-specific time series," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 152-167.
    8. Da Zhao & Jingyuan Guo & Hong Zou & Ze Song, 2022. "From Price to Gain: The Evolution of Household Income Volatility and Consumption Insurance in Urban China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(6), pages 113-136, November.

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    More about this item

    Keywords

    Idiosyncratic income uncertainty; Frequency; Estimation;
    All these keywords.

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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