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The interplay of supply and demand shocks: measuring potential output in the COVID-19 pandemic

Author

Listed:
  • Lovorka Grguric

    (Croatian National Bank, Zagreb, Croatia)

  • Ozana Nadoveza Jelic

    (Croatian National Bank, Zagreb, Croatia; University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia)

  • Nina Pavic

    (Croatian National Bank, Zagreb, Croatia)

Abstract

The coronavirus triggered a record fall of GDP in Croatia, 8.1% in 2020, one of the largest declines in the EU. The large macroeconomic shock stemming from the pandemic has affected both supply and demand. On the one hand, government measures have imposed unprecedented supply-side restrictions. On the other hand, growing uncertainty affected domestic and foreign demand. Croatia was particularly affected by a plunge in international tourism demand. Such a major macroeconomic shock poses a challenge for estimating potential GDP, which is difficult to estimate even in stable economic conditions. When estimating potential GDP in the context of the corona crisis, the main issue is the breakdown of the shock into a permanent and a temporary part (supply and demand shock). In this paper, we try to give the most logical breakdown of Croatian data and describe possible methodological approaches to the estimation of potential GDP during the pandemic.

Suggested Citation

  • Lovorka Grguric & Ozana Nadoveza Jelic & Nina Pavic, 2021. "The interplay of supply and demand shocks: measuring potential output in the COVID-19 pandemic," Public Sector Economics, Institute of Public Finance, vol. 45(4), pages 459-493.
    • Handle: RePEc:ipf:psejou:v:45:y:2021:i:4:p:459-493
    DOI: 10.3326/pse.45.4.4
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    References listed on IDEAS

    as
    1. Valerie Cerra & Antonio Fatás & Sweta C. Saxena, 2023. "Hysteresis and Business Cycles," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 181-225, March.
    2. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, January.
    3. Ali Alichi & Olivier Bizimana & Silvia Domit & Emilio Fernández Corugedo & Mr. Douglas Laxton & Kadir Tanyeri & Hou Wang & Fan Zhang, 2015. "Multivariate Filter Estimation of Potential Output for the Euro Area and the United States," IMF Working Papers 2015/253, International Monetary Fund.
    4. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    5. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
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    More about this item

    Keywords

    production function; factors of production; Cobb Douglas; potential output; capacity utilization; Croatia;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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