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Nowcasting the Trajectory of the COVID-19 Recovery

Author

Listed:
  • Peter Fuleky

    (University of Hawai‘i at Manoa Department of Economics, University of Hawai‘i Economic Research Organization)

Abstract
I develop a weekly coincident index of economic activity in the State of Hawaii. The purpose of the index is to nowcast the recovery from the COVID-19 induced downturn. The index is the first principal component extracted from 18 daily and weekly state-level time series, it captures about 80% of the variation in the sample, it is available with a four-day lag, and it leads the changes in nonfarm payrolls and the Philadelphia Fed coincident index.

Suggested Citation

  • Peter Fuleky, 2020. "Nowcasting the Trajectory of the COVID-19 Recovery," Working Papers 2020-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    • Handle: RePEc:hae:wpaper:2020-3
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    File URL: https://uhero.hawaii.edu/wp-content/uploads/2020/09/UHEROwp2003.pdf
    File Function: First version, 2020
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    References listed on IDEAS

    as
    1. Raj Chetty & John N Friedman & Michael Stepner & Opportunity Insights Team & Camille Baker & Harvey Barnhard & Matt Bell & Gregory Bruich & Tina Chelidze & Lucas Chu & Westley Cineus & Sebi Devlin-Fol, 2024. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 829-889.
    2. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    3. Tyler Atkinson & Jim Dolmas & Christoffer Koch & Evan F. Koenig & Karel Mertens & Anthony Murphy & Kei-Mu Yi, 2020. "Mobility and Engagement Following the SARS-Cov-2 Outbreak," Working Papers 2014, Federal Reserve Bank of Dallas.
    4. Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2022. "Measuring real activity using a weekly economic index," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 667-687, June.
    5. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    6. Daniel Lewis & Karel Mertens & James H. Stock, 2020. "U.S. Economic Activity During the Early Weeks of the SARS-Cov-2 Outbreak," NBER Working Papers 26954, National Bureau of Economic Research, Inc.
    7. Bai, Jushan & Ng, Serena, 2008. "Large Dimensional Factor Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(2), pages 89-163, June.
    8. Theodore M. Crone & Alan Clayton-Matthews, 2005. "Consistent Economic Indexes for the 50 States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 593-603, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Steven Bond-Smith, 2024. "Diversifying Hawai‘i's Specialized Economy: A Spatial Economic Perspective," Economic Development Quarterly, , vol. 38(1), pages 40-59, February.
    2. Steven Bond-Smith & Peter Fuleky, 2023. "The effects of the pandemic on the economy of Hawaii," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(23), pages 3846-3852, December.
    3. Daniel J. Lewis & Karel Mertens & James H. Stock & Mihir Trivedi, 2022. "Measuring real activity using a weekly economic index," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 667-687, June.
    4. Steven Bond-Smith, 2022. "Diversifying Hawai‘i’s specialized economy: A spatial economic perspective," Working Papers 2022-5, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.

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    More about this item

    Keywords

    coincident index; principal component analysis; high-frequency data; nowcasting; COVID-19;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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