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Title: COVID-19 and Emerging Markets: A SIR Model, Demand Shocks and Capital Flows

Author(s): Cem Cakmakli, Selva Demiralp, Sebnem Kalemli-Ozcan and Sevcan Yesiltas

Publication Date: January 2021

Keyword(s): external finance, Globalization, I-O Tables, infections and sectoral heterogeneity

Programme Area(s): International Macroeconomics and Finance, International Trade and Regional Economics and Macroeconomics and Growth

Abstract: We quantify the macroeconomic effects of COVID-19 for emerging markets using a framework that combines a SIR model with data on international and intersectoral linkages for a small open economy. We use this framework to estimate the sectoral COVID costs for Turkey. Domestic infection rates feed directly into both sectoral supply and sectoral demand shocks. Sectoral demand shocks additionally capture foreign infection rates through external demand. Infection rates at home and abroad can change differentially with different lockdown policies and social distancing measures. We use real-time credit card purchases to pin down the magnitude of these demand shocks. Our results show that the optimal policy, which yields the lowest economic cost and saves the maximum number of lives, can be achieved under an early full lockdown of 39 days at the onset of the pandemic. Economic costs are much larger for an open economy because of the low external demand that amplifies the costs through international input-output linkages. We document a strong relationship between sectoral costs of COVID-19 and net capital flows into that sector, implying a tight connection between domestic fiscal space and external finance in emerging markets.

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Bibliographic Reference

Cakmakli, C, Demiralp, S, Kalemli-Ozcan, S and Yesiltas, S. 2021. 'COVID-19 and Emerging Markets: A SIR Model, Demand Shocks and Capital Flows'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15154