IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v113y2022ics0264999322001377.html
   My bibliography  Save this article

Unemployment claims during COVID-19 and economic support measures in the U.S

Author

Listed:
  • Dergiades, Theologos
  • Milas, Costas
  • Panagiotidis, Theodore

Abstract

Governments want to know how effective COVID-19 anti-contagion policies and implemented economic stimulus measures have been to plan their short-run interventions. We condition on the state of the pandemic to assess the impact of non-pharmaceutical interventions and economic stimulus policies on the excess unemployment insurance claims in the United States. We focus on weekly data between February 2020 and January 2021 and motivate our analysis by the theoretical framework of the second-wave SIR-macro type models to build a panel Vector AutoRegressive (VAR) specification. Non-pharmaceutical interventions become effective immediately and impact the labor market negatively. Economic stimulus takes about a month to turn effective and only partially eases the economic welfare losses. Health-related restrictive measures are primarily driven by the state of the pandemic. Economic support policies depend predominantly on the reaction of the labor market rather than the severity of the pandemic itself.

Suggested Citation

  • Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
  • Handle: RePEc:eee:ecmode:v:113:y:2022:i:c:s0264999322001377
    DOI: 10.1016/j.econmod.2022.105891
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999322001377
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2022.105891?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Birinci, Serdar & Karahan, Fatih & Mercan, Yusuf & See, Kurt, 2021. "Labor market policies during an epidemic," Journal of Public Economics, Elsevier, vol. 194(C).
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2020. "Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Sumedha Gupta & Laura Montenovo & Thuy Nguyen & Felipe Lozano‐Rojas & Ian Schmutte & Kosali Simon & Bruce A. Weinberg & Coady Wing, 2023. "Effects of social distancing policy on labor market outcomes," Contemporary Economic Policy, Western Economic Association International, vol. 41(1), pages 166-193, January.
    5. Chudik, Alexander & Mohaddes, Kamiar & Raissi, Mehdi, 2021. "Covid-19 fiscal support and its effectiveness," Economics Letters, Elsevier, vol. 205(C).
    6. Hao, Xiangchao & Sun, Qinru & Xie, Fang, 2022. "The COVID-19 pandemic, consumption and sovereign credit risk: Cross-country evidence," Economic Modelling, Elsevier, vol. 109(C).
    7. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    10. Moll, Benjamin & Kaplan, Greg & Violante, Giovanni, 2020. "The Great Lockdown and the Big Stimulus: Tracing the Pandemic Possibility Frontier for the U.S," CEPR Discussion Papers 15256, C.E.P.R. Discussion Papers.
    11. Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
    12. Stephen G. Donald, 1997. "Inference Concerning the Number of Factors in a Multivariate Nonparametric Relationship," Econometrica, Econometric Society, vol. 65(1), pages 103-132, January.
    13. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    14. Corina Boar & Simon Mongey, 2020. "Dynamic Trade-offs and Labor Supply Under the CARES Act," NBER Working Papers 27727, National Bureau of Economic Research, Inc.
    15. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    16. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    17. Christian Bayer & Benjamin Born & Ralph Luetticke & Gernot J Müller, 2023. "The Coronavirus Stimulus Package: How Large is the Transfer Multiplier," The Economic Journal, Royal Economic Society, vol. 133(652), pages 1318-1347.
    18. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    19. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    20. Li, Q. & Wang, Suojin, 1998. "A simple consistent bootstrap test for a parametric regression function," Journal of Econometrics, Elsevier, vol. 87(1), pages 145-165, August.
    21. Faria-e-Castro, Miguel, 2021. "Fiscal policy during a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    22. Jeffrey E. Harris, 2020. "Reopening Under COVID-19: What to Watch For," NBER Working Papers 27166, National Bureau of Economic Research, Inc.
    23. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    24. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    25. Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
    26. Miguel Garza Casado & Britta Glennon & Julia Lane & David McQuown & Daniel Rich & Bruce A. Weinberg, 2020. "The Aggregate Effects of Fiscal Stimulus: Evidence from the COVID-19 Unemployment Supplement," NBER Working Papers 27576, National Bureau of Economic Research, Inc.
    27. Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
    28. Neil Bhutta & Jacqueline Blair & Lisa Dettling & Kevin Moore, 2020. "COVID-19, the CARES Act, and Families’ Financial Security," National Tax Journal, National Tax Association;National Tax Journal, vol. 73(3), pages 645-672, September.
    29. Felipe Lozano Rojas & Xuan Jiang & Laura Montenovo & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020. "Is the Cure Worse than the Problem Itself? Immediate Labor Market Effects of COVID-19 Case Rates and School Closures in the U.S," NBER Working Papers 27127, National Bureau of Economic Research, Inc.
    30. Daehler, Timo B. & Aizenman, Joshua & Jinjarak, Yothin, 2021. "Emerging markets sovereign CDS spreads during COVID-19: Economics versus epidemiology news," Economic Modelling, Elsevier, vol. 100(C).
    31. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    32. John P. Ansah & Mr. Natan P. Epstein & Valeriu Nalban, 2020. "COVID-19 Impact and Mitigation Policies: A Didactic Epidemiological-Macroeconomic Model Approach," IMF Working Papers 2020/233, International Monetary Fund.
    33. Ftiti, Zied & Ben Ameur, Hachmi & Louhichi, Waël, 2021. "Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market," Economic Modelling, Elsevier, vol. 99(C).
    34. Pierre-Olivier Gourinchas & Ṣebnem Kalemli-Özcan & Veronika Penciakova & Nick Sander, 2021. "Fiscal Policy in the Age of COVID: Does it ‘Get in all of the Cracks?’," NBER Working Papers 29293, National Bureau of Economic Research, Inc.
    35. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    36. Per Block & Marion Hoffman & Isabel J. Raabe & Jennifer Beam Dowd & Charles Rahal & Ridhi Kashyap & Melinda C. Mills, 2020. "Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world," Nature Human Behaviour, Nature, vol. 4(6), pages 588-596, June.
    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. Bandyopadhyay, Simanti & Kabiraj, Sujana & Majumder, Subrata, 2023. "Subnational governments and COVID management," Economic Modelling, Elsevier, vol. 124(C).
    2. Richard T. Ampofo & Eric N. Aidoo & Bernard O. Ntiamoah & Ophelia Frimpong & Daniel Sasu, 2023. "An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 517-540, June.

    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. Asta Ndongo & Ibrahima Thione Diop, 2021. "Economic and Monetary Integration in ECOWAS Countries: A Panel VAR Approach to Identify Macroeconomic Shocks," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 7(2), pages 61-87, December.
    2. Igor Petruška & Eva Litavcová & Jana Chovancová, 2022. "Impact of Renewable Energy Sources and Nuclear Energy on CO 2 Emissions Reductions—The Case of the EU Countries," Energies, MDPI, vol. 15(24), pages 1-23, December.
    3. Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    4. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    5. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    6. Joan Costa-Font & Cristina Vilaplana-Prieto, 2023. "‘Investing’ in care for old age? An examination of long-term care expenditure dynamics and its spillovers," Empirical Economics, Springer, vol. 64(1), pages 1-30, January.
    7. Stengos, T. & Lyssiotou, P. & Pashardes, P., 2002. "Demographic vs. Expenditure Flexibility in Engel Curves," Working Papers 2002-15, University of Guelph, Department of Economics and Finance.
    8. Rifai Afin, 2023. "Interlinka Terlinkage Of M Ge Of Macroeconomic Uncer Croeconomic Uncertainty And Macroeconomic Performance: Evidence From Asean-5 Countries Panel Var," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 26(1), pages 39-68.
    9. Marra, Alessandro & Colantonio, Emiliano, 2021. "The path to renewable energy consumption in the European Union through drivers and barriers: A panel vector autoregressive approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    10. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    11. Christian Dreger & Daniel Gros, 2021. "Lockdowns and the US Unemployment Crisis," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 449-463, October.
    12. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    13. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    14. Lin, Boqiang & Okoye, Jude O., 2023. "Towards renewable energy generation and low greenhouse gas emission in high-income countries: Performance of financial development and governance," Renewable Energy, Elsevier, vol. 215(C).
    15. Isiaka Akande Raifu & Alarudeen Aminu, 2023. "The effect of military spending on economic growth in MENA: evidence from method of moments quantile regression," Future Business Journal, Springer, vol. 9(1), pages 1-21, December.
    16. Ogundari, Kolawole & Ito, Shoichi & Okoruwa, Victor, 2014. "Estimating nutrition-income elasticities in sub-Saharan African:Implication on health," MPRA Paper 63523, University Library of Munich, Germany.
    17. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Springer, vol. 70(2), pages 145-167, June.
    18. Jaroslava Hlouskova & Martin Wagner, 2006. "The Performance of Panel Unit Root and Stationarity Tests: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 85-116.
    19. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    20. Tsoulfidis, Lefteris & Alexiou, Constantinos & Parthenidis, Thanasis, 2015. "Revisiting profit persistence and the stock market in Japan," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 10-24.

    More about this item

    Keywords

    Unemployment claims; NPIs; Economic stimulus; Panel VAR;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers

    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:eee:ecmode:v:113:y:2022:i:c:s0264999322001377. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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.