IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2022i54p156-175.html
   My bibliography  Save this article

Unemployment benefits and duration of registered unemployment in Russia: Regression kink design

Author

Listed:
  • Kopytok, V.

    (National Research University "Higher School of Economics", Moscow, Russia
    Center for Advanced Governance, Moscow, Russia)

Abstract

The unemployment insurance (UI) system is one of the key labor market institutes. UI benefits allow to smooth consumption during unemployment. Moreover, people receiving UI benefits can search for a new position more selectively, and thus find a job that with more appropriate qualification requirements and salary. Nevertheless, generous UI benefits lead to a decrease in the intensity of job search and an increase in the duration of registered unemployment. The optimal UI system design balances these effects. This paper is based on administrative microdata on registered unemployment in Russia in 2019 (collected by The Federal Service for Labor and Employment of Russia) to estimate the causal effect of UI benefits on the duration of registered unemployment. Regression kink design and the maximum UI benefits levels are exploited to identify the causal effect. Estimated elasticities of UI duration with respect to average daily benefits are positive and significant with values from 0.2 to 5.3 due to specification which corresponds to the estimates obtained for other countries.

Suggested Citation

  • Kopytok, V., 2022. "Unemployment benefits and duration of registered unemployment in Russia: Regression kink design," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 156-175.
  • Handle: RePEc:nea:journl:y:2022:i:54:p:156-175
    DOI: 10.31737/2221-2264-2022-54-2-8
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2022-54-156-175r.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.31737/2221-2264-2022-54-2-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Camille Landais, 2015. "Assessing the Welfare Effects of Unemployment Benefits Using the Regression Kink Design," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 243-278, November.
    2. Carling, Kenneth & Holmlund, Bertil & Vejsiu, Altin, 2001. "Do Benefit Cuts Boost Job Finding? Swedish Evidence from the 1990s," Economic Journal, Royal Economic Society, vol. 111(474), pages 766-790, October.
    3. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    4. Chetty, Raj, 2006. "A general formula for the optimal level of social insurance," Journal of Public Economics, Elsevier, vol. 90(10-11), pages 1879-1901, November.
    5. David Card & Andrew Johnston & Pauline Leung & Alexandre Mas & Zhuan Pei, 2015. "The Effect of Unemployment Benefits on the Duration of Unemployment Insurance Receipt: New Evidence from a Regression Kink Design in Missouri, 2003-2013," American Economic Review, American Economic Association, vol. 105(5), pages 126-130, May.
    6. Raj Chetty, 2008. "Moral Hazard versus Liquidity and Optimal Unemployment Insurance," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 173-234, April.
    7. Jonas Kolsrud & Camille Landais & Peter Nilsson & Johannes Spinnewijn, 2018. "The Optimal Timing of Unemployment Benefits: Theory and Evidence from Sweden," American Economic Review, American Economic Association, vol. 108(4-5), pages 985-1033, April.
    8. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    9. Raj Chetty, 2008. "Moral Hazard versus Liquidity and Optimal Unemployment Insurance," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 173-234, April.
    10. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    Full references (including those not matched with items on IDEAS)

    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. Anna D'Ambrosio & Vincenzo Scrutinio, 2022. "A few Euro more: benefit generosity and the optimal path of unemployment benefits," CEP Discussion Papers dp1835, Centre for Economic Performance, LSE.
    2. Liepmann, Hannah & Pignatti, Clemente, 2024. "Welfare effects of unemployment benefits when informality is high," Journal of Public Economics, Elsevier, vol. 229(C).
    3. David S. Lee & Pauline Leung & Christopher J. O’Leary & Zhuan Pei & Simon Quach, 2021. "Are Sufficient Statistics Necessary? Nonparametric Measurement of Deadweight Loss from Unemployment Insurance," Journal of Labor Economics, University of Chicago Press, vol. 39(S2), pages 455-506.
    4. Johannes Spinnewijn, 2020. "The Trade‐Off between Insurance and Incentives in Differentiated Unemployment Policies," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 101-127, March.
    5. Johannes F. Schmieder & Till von Wachter, 2016. "The Effects of Unemployment Insurance Benefits: New Evidence and Interpretation," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 547-581, October.
    6. Nathaniel Hendren & Camille Landais & Johannes Spinnewijn, 2021. "Choice in Insurance Markets: A Pigouvian Approach to Social Insurance Design," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 457-486, August.
    7. Schmieder, Johannes F & Trenkle, Simon, 2020. "Disincentive effects of unemployment benefits and the role of caseworkers," Journal of Public Economics, Elsevier, vol. 182(C).
    8. Andrew C. Johnston, 2021. "Unemployment Insurance Taxes and Labor Demand: Quasi-Experimental Evidence from Administrative Data," American Economic Journal: Economic Policy, American Economic Association, vol. 13(1), pages 266-293, February.
    9. Arash Nekoei & Andrea Weber, 2017. "Does Extending Unemployment Benefits Improve Job Quality?," American Economic Review, American Economic Association, vol. 107(2), pages 527-561, February.
    10. Brown, Alessio J.G. & Kohlbrecher, Britta & Merkl, Christian & Snower, Dennis J., 2021. "The effects of productivity and benefits on unemployment: Breaking the link," Economic Modelling, Elsevier, vol. 94(C), pages 967-980.
    11. Huang, Po-Chun & Yang, Tzu-Ting, 2021. "The welfare effects of extending unemployment benefits: Evidence from re-employment and unemployment transfers," Journal of Public Economics, Elsevier, vol. 202(C).
    12. Fredriksson, Peter & Söderström, Martin, 2020. "The equilibrium impact of unemployment insurance on unemployment: Evidence from a non-linear policy rule," Journal of Public Economics, Elsevier, vol. 187(C).
    13. Sarah H. Bana & Kelly Bedard & Maya Rossin‐Slater, 2020. "The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 888-929, September.
    14. Ahn, Taehyun, 2018. "Assessing the effects of reemployment bonuses on job search: A regression discontinuity approach," Journal of Public Economics, Elsevier, vol. 165(C), pages 82-100.
    15. Guo, Audrey, 2020. "The Effects of Unemployment Insurance Taxation on Multi-Establishment Firms," MPRA Paper 97919, University Library of Munich, Germany.
    16. Jaimovich, Nir & Ferraro, Domenico & Molinari, Francesca & Young, Cristobal, 2020. "The Safety Net as a Springboard? A General Equilibrium based Policy Evaluation," CEPR Discussion Papers 14786, C.E.P.R. Discussion Papers.
    17. Marika Cabral & Marcus Dillender, 2020. "The Impact of Benefit Generosity on Workers’ Compensation Claims: Evidence and Implications," NBER Working Papers 26976, National Bureau of Economic Research, Inc.
    18. Petri Böckerman & Ohto Kanninen & Ilpo Suoniemi, 2018. "A kink that makes you sick: The effect of sick pay on absence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 568-579, June.
    19. Ferey, Antoine, 2022. "Redistribution and Unemployment Insurance," Rationality and Competition Discussion Paper Series 345, CRC TRR 190 Rationality and Competition.
    20. Tomi Kyyrä, 2023. "The effects of unemployment assistance on unemployment exits," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(6), pages 1457-1480, December.

    More about this item

    Keywords

    regression kink design; causality; causal inference; registered unemployment; unemployment insurance system;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings

    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:nea:journl:y:2022:i:54:p:156-175. 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: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.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.