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240607 ||| eng |
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|a 9781513560427
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100 |
1 |
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|a Ansah, John
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245 |
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|a COVID-19 Impact and Mitigation Policies: A Didactic Epidemiological-Macroeconomic Model Approach
|c John Ansah, Natan Epstein, Valeriu Nalban
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260 |
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|a Washington, D.C.
|b International Monetary Fund
|c 2020
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300 |
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|a 28 pages
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651 |
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4 |
|a Malaysia
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653 |
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|a Health
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653 |
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|a Infectious & contagious diseases
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653 |
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|a Covid-19
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653 |
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|a Labor markets
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653 |
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|a General Aggregative Models: Forecasting and Simulation
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653 |
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|a Health and Fitness
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653 |
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|a Labor
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653 |
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|a Health economics
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653 |
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|a Population and demographics
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653 |
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|a Policy Objectives
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653 |
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|a Policy Coordination
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653 |
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|a Demography
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653 |
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|a Population
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653 |
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|a Macroeconomics
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653 |
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|a Diseases: Contagious
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653 |
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|a Communicable diseases
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653 |
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|a Income economics
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653 |
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|a Population & demography
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653 |
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|a Labour
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653 |
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|a Demographic Economics: General
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653 |
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|a Computational Techniques
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653 |
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|a Policy Designs and Consistency
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653 |
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|a Regulation
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653 |
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|a Demand and Supply of Labor: General
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653 |
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|a Health Behavior
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653 |
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|a Crisis Management
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653 |
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|a Health: General
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653 |
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|a Social Science
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653 |
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|a Labor Economics: General
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653 |
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|a Labor market
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653 |
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|a Public Health
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653 |
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|a Business and Economics
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653 |
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|a Health: Government Policy
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653 |
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|a Labor economics
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700 |
1 |
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|a Epstein, Natan
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700 |
1 |
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|a Nalban, Valeriu
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b IMF
|a International Monetary Fund
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490 |
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|a IMF Working Papers
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028 |
5 |
0 |
|a 10.5089/9781513560427.001
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856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/2020/233/001.2020.issue-233-en.xml?cid=49805-com-dsp-marc
|x Verlag
|3 Volltext
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082 |
0 |
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|a 330
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520 |
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|a We develop an integrated epidemiological-macroeconomic model to analyze the interplay between the COVID-19 outbreak and economic activity, as a tool for capacity building purposes. We illustrate a workhorse framework that combines a rich epidemiological model with an economic block to shed light on the tradeoffs between saving lives and preserving economic outcomes under various mitigation policies and scenarios calibrated for emerging market and developing economies. In our benchmark setup, we link the effective contact frequency and labor supply decisions to the current state of the disease progression, allowing for relevant behavioral responses that introduce multiple feedback channels. We showcase the effects of various “smart” mitigation measures, e.g. improved quarantine capacity or targeted labor market restrictions, to alleviate the tradeoffs between health-related outcomes and economic activity, including in response to a second infection wave. The discovery of treatment or vaccine, and the possibility of temporary immunity for the recovered individuals are also considered. The model is further extended to a multisector framework to analyze the sectoral allocation effects of the COVID-19 shock
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