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Testing and Quantifying Economic Resilience

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  • HARA, Naoko
  • YAMAMOTO, Yohei

Abstract

We propose a formal testing procedure to examine resilience of an economy. Our approach is applicable even when a cross-section of control group is unavailable and circumvents potential bias in time-series regressions using data that includes structural breaks. We provide measures of shock absorption and cumulative recovery. Our em-pirical analysis reveals that most of the advanced countries were not resilient to the Global Financial Crisis, while many were so during the COVID-19 pandemic. Poten-tial determinants of economic resilience such as Fnancial leverage and labor market regulation may have negative correlations with these measures and other determinants have heterogenous associations depending on the nature of the crisis.

Suggested Citation

  • HARA, Naoko & YAMAMOTO, Yohei, 2024. "Testing and Quantifying Economic Resilience," Discussion paper series HIAS-E-142, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
  • Handle: RePEc:hit:hiasdp:hias-e-142
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    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/84543/070_hiasDP-E-142.pdf
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    References listed on IDEAS

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    1. Falk, Barry & Roy, Anindya, 2005. "Forecasting using the trend model with autoregressive errors," International Journal of Forecasting, Elsevier, vol. 21(2), pages 291-302.
    2. Ron Martin, 2012. "Regional economic resilience, hysteresis and recessionary shocks," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 1-32, January.
    3. Eugene Canjels & Mark W. Watson, 1997. "Estimating Deterministic Trends In The Presence Of Serially Correlated Errors," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 184-200, May.
    4. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "Recovery from Financial Crises: Evidence from 100 Episodes," American Economic Review, American Economic Association, vol. 104(5), pages 50-55, May.
    5. Serena Ng & Timothy J. Vogelsang, 2002. "Forecasting autoregressive time series in the presence of deterministic components," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 196-224, June.
    6. Jushan Bai & Serena Ng, 2005. "Tests for Skewness, Kurtosis, and Normality for Time Series Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 49-60, January.
    7. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    8. Hansen, Bruce E., 2010. "Averaging estimators for autoregressions with a near unit root," Journal of Econometrics, Elsevier, vol. 158(1), pages 142-155, September.
    9. Lino Briguglio & Gordon Cordina & Nadia Farrugia & Stephanie Vella, 2009. "Economic Vulnerability and Resilience: Concepts and Measurements," Oxford Development Studies, Taylor & Francis Journals, vol. 37(3), pages 229-247.
    10. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Estimating deterministic trends with an integrated or stationary noise component," Journal of Econometrics, Elsevier, vol. 151(1), pages 56-69, July.
    11. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    12. Jollès, Maya & Meyermans, Eric & Vašíček, Bořek, 2023. "Determinants of macroeconomic resilience in the euro area: An empirical assessment of national policy levers," Economic Systems, Elsevier, vol. 47(3).
    13. Bernard Fingleton & Harry Garretsen & Ron Martin, 2012. "Recessionary Shocks And Regional Employment: Evidence On The Resilience Of U.K. Regions," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 109-133, February.
    14. Ilan Noy & Rio Yonson, 2018. "Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    15. Falk, Barry L. & Roy, Anindya, 2005. "Forecasting Using the Linear Trend Model with Autoregressive Errors," Staff General Research Papers Archive 12007, Iowa State University, Department of Economics.
    16. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    17. Romain Duval & Lukas Vogel, 2008. "Economic resilience to shocks: The role of structural policies," OECD Journal: Economic Studies, OECD Publishing, vol. 2008(1), pages 1-38.
    18. Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
    19. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    20. Timothy J. Vogelsang, 1998. "Trend Function Hypothesis Testing in the Presence of Serial Correlation," Econometrica, Econometric Society, vol. 66(1), pages 123-148, January.
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    More about this item

    Keywords

    Economic Resilience; Counterfactual Forecast; Pretesting; Global Financial Crisis; COVID-19 Pandemic;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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