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Covid-19 and Unemployment: Evidence from Puerto Rico Using Bayesian Analyses with High-Frequency Data

Author

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  • Toledo Wilfredo

    (Econometrics and Stat Research, San Juan, Puerto Rico)

Abstract

The paper aims at determining the relationship between the Covid-19 contagion level and the state of the economy using high-frequency data from Puerto Rico. In order to achieve the aim set, the direction of the causality relationship between the numbers of infected persons and the unemployment rate was determined. Furthermore, various Bayesian statistical models were estimated. The analysis results imply that the unemployment rate responds moderately to the Covid-19 contagion level itself and not the other way around. The 95 % credible interval for the elasticity coefficient of the unemployment rate relative to the virus is estimated as [0.0140–0.1448]. Evidence also shows that at the beginning of 2021, most of the fluctuations in the unemployment rate were explained directly by the Covid-19 perturbations. Hence, no evidence was found that economic activity promoted the virus spread in the analysed economy.

Suggested Citation

  • Toledo Wilfredo, 2021. "Covid-19 and Unemployment: Evidence from Puerto Rico Using Bayesian Analyses with High-Frequency Data," Economics and Business, Sciendo, vol. 35(1), pages 174-189, January.
    • Handle: RePEc:vrs:ecobus:v:35:y:2021:i:1:p:174-189:n:12
    DOI: 10.2478/eb-2021-0012
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    References listed on IDEAS

    as
    1. 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]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    2. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "Labor Markets During the Covid-19 Crisis: A Preliminary View," Department of Economics, Working Paper Series qt7rx7t91p, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Kyle J. Kost & Marco C. Sammon & Tasaneeya Viratyosin, 2020. "The Unprecedented Stock Market Impact of COVID-19," NBER Working Papers 26945, National Bureau of Economic Research, Inc.
    4. Anja Bauer & Enzo Weber, 2021. "COVID-19: how much unemployment was caused by the shutdown in Germany?," Applied Economics Letters, Taylor & Francis Journals, vol. 28(12), pages 1053-1058, July.
    5. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    6. World Bank, 2020. "The COVID-19 Pandemic [Pandémie De Covid-19]," World Bank Publications - Reports 33696, The World Bank Group.
    7. Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2021. "High-Frequency Data and a Weekly Economic Index during the Pandemic," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 326-330, May.
    8. Alfanza Ma. Theresa, 2021. "Telecommuting Intensity in the Context of COVID-19 Pandemic: Job Performance and Work-Life Balance," Economics and Business, Sciendo, vol. 35(1), pages 107-116, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Bayesian Estimation; Covid-19; Economic Activity; MIDAS Estimation; Puerto Rico;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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