IDEAS home Printed from https://ideas.repec.org/p/kud/kucebi/2108.html
   My bibliography  Save this paper

High Frequency Income Dynamics

Author

Listed:
  • Jeppe Druedahl

    (CEBI, Department of Economics, University of Copenhagen)

  • Michael Graber

    (Department of Economics, University of Chicago)

  • Thomas H. Jørgensen

    (CEBI, Department of Economics, University of Copenhagen)

Abstract

We generalize the canonical permanent-transitory income process to allow for infrequent shocks. The distribution of income growth rates can then have a discrete mass point at zero and fat tails as observed in income data. We provide analytical formulas for the unconditional and conditional distributions of income growth rates and higher-order moments. We prove a set of identification results and numerically validate that we can simultaneously identify the frequency, variance, and persistence of income shocks. We estimate the income process on monthly panel data of 400,000 Danish males observed over 8 years. When allowing shocks to be infrequent, the proposed income process can closely match the central features of the data.

Suggested Citation

  • 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).
  • Handle: RePEc:kud:kucebi:2108
    as

    Download full text from publisher

    File URL: https://www.econ.ku.dk/cebi/publikationer/working-papers/CEBI_WP_08-21.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Veronica Guerrieri & Guido Lorenzoni, 2017. "Credit Crises, Precautionary Savings, and the Liquidity Trap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1427-1467.
    2. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    3. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    4. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
    5. Claus Thustrup Kreiner & Søren Leth-Petersen & Peer Ebbesen Skov, 2016. "Tax Reforms and Intertemporal Shifting of Wage Income: Evidence from Danish Monthly Payroll Records," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 233-257, August.
    6. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    7. Arna Olafsson & Michaela Pagel, 2018. "The Liquid Hand-to-Mouth: Evidence from Personal Finance Management Software," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4398-4446.
    8. Kurt Mitman & Iourii Manovskii & Marcus Hagedorn, 2017. "The Fiscal Multiplier," 2017 Meeting Papers 1383, Society for Economic Dynamics.
    9. Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2018. "Monetary Policy According to HANK," American Economic Review, American Economic Association, vol. 108(3), pages 697-743, March.
    10. Peter Ganong & Pascal Noel, 2019. "Consumer Spending during Unemployment: Positive and Normative Implications," American Economic Review, American Economic Association, vol. 109(7), pages 2383-2424, July.
    11. Edmund 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.).
    12. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    13. Oh, Hyunseung & Reis, Ricardo, 2012. "Targeted transfers and the fiscal response to the great recession," Journal of Monetary Economics, Elsevier, vol. 59(S), pages 50-64.
    14. Christian Bayer & Ralph Luetticke & Lien Pham‐Dao & Volker Tjaden, 2019. "Precautionary Savings, Illiquid Assets, and the Aggregate Consequences of Shocks to Household Income Risk," Econometrica, Econometric Society, vol. 87(1), pages 255-290, January.
    15. Greg Kaplan & Giovanni L. Violante, 2014. "A Model of the Consumption Response to Fiscal Stimulus Payments," Econometrica, Econometric Society, vol. 82(4), pages 1199-1239, July.
    16. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    17. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2017. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Econometrica, Econometric Society, vol. 85, pages 693-734, May.
    18. Claus Thustrup Kreiner & S?ren Leth-Petersen & Peer Ebbesen Skov, 2014. "Year-End Tax Planning of Top Management: Evidence from High-Frequency Payroll Data," American Economic Review, American Economic Association, vol. 104(5), pages 154-158, May.
    19. Alisdair McKay & Ricardo Reis, 2016. "The Role of Automatic Stabilizers in the U.S. Business Cycle," Econometrica, Econometric Society, vol. 84, pages 141-194, January.
    20. Eika, Lasse, 2018. "Income dynamics when shocks occur during the year," Economics Letters, Elsevier, vol. 173(C), pages 27-29.
    21. 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.
    22. Lorenz Kueng, 2018. "Excess Sensitivity of High-Income Consumers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1693-1751.
    23. Mariacristina De Nardi & Giulio Fella & Gonzalo Paz-Pardo, 2020. "Nonlinear Household Earnings Dynamics, Self-Insurance, and Welfare," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 890-926.
    24. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    25. Iourii Manovskii & Dmytro Hryshko & Moira Daly, 2015. "Reconciling Estimates of Earnings Processes in Growth Rates and Levels," 2015 Meeting Papers 1395, Society for Economic Dynamics.
    26. Greg Kaplan & Giovanni L. Violante, 2018. "Microeconomic Heterogeneity and Macroeconomic Shocks," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 167-194, Summer.
    27. De Nardi, Mariacristina & Fella, Giulio & Knoef, Marike & Paz-Pardo, Gonzalo & Van Ooijen, Raun, 2021. "Family and government insurance: Wage, earnings, and income risks in the Netherlands and the U.S," Journal of Public Economics, Elsevier, vol. 193(C).
    28. Kieran Larkin, 2019. "Job Risk, Separation Shocks and Household Asset Allocation," 2019 Meeting Papers 1058, Society for Economic Dynamics.
    29. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    30. Druedahl, Jeppe & Munk-Nielsen, Anders, 2018. "Identifying heterogeneous income profiles using covariances of income levels and future growth rates," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 24-42.
    31. Martin Browning & Mette Ejrnæs, 2013. "Heterogeneity in the Dynamics of Labor Earnings," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 219-245, May.
    32. Morten O Ravn & Vincent Sterk, 0. "Macroeconomic Fluctuations with HANK & SAM: an Analytical Approach," Journal of the European Economic Association, European Economic Association, vol. 19(2), pages 1162-1202.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.).
    2. Tao Wang, 2023. "Perceived versus Calibrated Income Risks in Heterogeneous-Agent Consumption Models," Staff Working Papers 23-59, Bank of Canada.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeppe Druedahl & Emil Bjerre Jensen & Soeren Leth-Petersen, 2022. "The Intertemporal Marginal Propensity to Consume out of Future Persistent Cash-Flows. Evidence from Transaction Data," CEBI working paper series 22-13, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    2. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.
    3. 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.).
    4. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    5. Druedahl, Jeppe & Munk-Nielsen, Anders, 2018. "Identifying heterogeneous income profiles using covariances of income levels and future growth rates," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 24-42.
    6. Adrien Auclert, 2019. "Monetary Policy and the Redistribution Channel," American Economic Review, American Economic Association, vol. 109(6), pages 2333-2367, June.
    7. Moira Daly & Dmytro Hryshko & Iourii Manovskii, 2022. "Improving The Measurement Of Earnings Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 95-124, February.
    8. Cantore, Cristiano & Freund, Lukas B., 2021. "Workers, capitalists, and the government: fiscal policy and income (re)distribution," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 58-74.
    9. Hagedorn, Marcus & Luo, Jinfeng & Manovskii, Iourii & Mitman, Kurt, 2019. "Forward guidance," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 1-23.
    10. Kase, Hanno & Melosi, Leonardo & Rottner, Matthias, 2024. "Estimating Nonlinear Heterogeneous Agent Models with Neural Networks," The Warwick Economics Research Paper Series (TWERPS) 1499, University of Warwick, Department of Economics.
    11. Bayer, Christian & Born, Benjamin & Luetticke, Ralph, 2023. "The liquidity channel of fiscal policy," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 86-117.
    12. Kopiec, Paweł, 2022. "The government spending multiplier in the Heterogeneous Agent New Keynesian model," European Economic Review, Elsevier, vol. 145(C).
    13. Bilbiie, Florin O., 2020. "The New Keynesian cross," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 90-108.
    14. Christian Bayer & Benjamin Born & Ralph Luetticke, 2024. "Shocks, Frictions, and Inequality in US Business Cycles," American Economic Review, American Economic Association, vol. 114(5), pages 1211-1247, May.
    15. de Ferra, Sergio & Mitman, Kurt & Romei, Federica, 2020. "Household heterogeneity and the transmission of foreign shocks," Journal of International Economics, Elsevier, vol. 124(C).
    16. Kurt Mitman & Iourii Manovskii & Marcus Hagedorn, 2017. "The Fiscal Multiplier," 2017 Meeting Papers 1383, Society for Economic Dynamics.
    17. Elin Halvorsen & Serdar Ozkan & Sergio Salgado, 2022. "Earnings dynamics and its intergenerational transmission: Evidence from Norway," Quantitative Economics, Econometric Society, vol. 13(4), pages 1707-1746, November.
    18. Manuel Sanchez & Felix Wellschmied, 2020. "Modeling Life-Cycle Earnings Risk with Positive and Negative Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 103-126, July.
    19. Ralph Luetticke, 2021. "Transmission of Monetary Policy with Heterogeneity in Household Portfolios," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 1-25, April.
    20. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.

    More about this item

    Keywords

    consumption-saving; income dynamics; panel data models;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kud:kucebi:2108. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thomas Hoffmann (email available below). General contact details of provider: https://edirc.repec.org/data/cebkudk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.