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Modern pandemics : Recession and recovery. (2020). Zhou, Sili ; Rogers, John ; Ma, Chang.
In: BOFIT Discussion Papers.
RePEc:bof:bofitp:2020_016.

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  1. Revisiting the Countercyclicality of Fiscal Policy. (2023). Joo, Youssouf Kiendrebeogo.
    In: Working Papers REM.
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  2. Influence of institutional differences on trade credit use during pandemics. (2023). Shen, Xixi ; Ho, Kung-Cheng ; Lee, Yun-Chi ; Zhang, Cheng.
    In: Pacific-Basin Finance Journal.
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  3. The impact of the COVID-19 pandemic on global GDP growth. (2023). Kamin, Steven B ; Gagnon, Joseph E ; Kearns, John.
    In: Journal of the Japanese and International Economies.
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  4. Global Banks and Systemic Debt Crises. (2022). Morelli, Juan ; Perez, Diego J ; Ottonello, Pablo.
    In: Econometrica.
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  5. GDP effects of pandemics: a historical perspective. (2022). Stefaski, Maciej.
    In: Empirical Economics.
    RePEc:spr:empeco:v:63:y:2022:i:6:d:10.1007_s00181-022-02227-3.

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  6. The Economic Effects of COVID-19 Containment Measures. (2022). Ostry, Jonathan ; Furceri, Davide ; Deb, Pragyan ; Tawk, Nour.
    In: Open Economies Review.
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  7. The effectiveness of the fiscal policy response to COVID-19 through the lens of short and long run labor market effects of COVID-19 measures. (2022). Kovac, Tibor ; Barisic, Patrik.
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  8. Analysis of the Economic, Labour, and Management Effects of COVID-19 on Rural Accommodation: An Application to a Rural European Province (Cáceres, Spain). (2022). Cerro, Paloma Garcia ; Rodriguez-Rangel, Cristina M ; Sanchez-Rivero, Marcelino ; Manjon, Ana M.
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  9. Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis. (2022). Stevanovic, Dalibor ; Marcellino, Massimiliano ; Foroni, Claudia.
    In: International Journal of Forecasting.
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  10. Elasticity of substitution between public and private capital: Evidence from manufacturing firms in Europe. (2022). Li, Haibo ; Zhang, Feinan.
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  11. Modern health pandemic crises and stock price crash risk. (2022). Pan, Zikui ; Zhao, Chenfang ; Yao, Chia-Ling ; Ho, Kung-Cheng.
    In: Economic Analysis and Policy.
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  12. Reactive or Immune: Stock Market Behaviour During Subsequent Waves of the COVID-19 Pandemic. (2022). Daruwala, Zaheda.
    In: International Journal of Economics and Financial Issues.
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  13. Labour market recovery after a pandemic. (2022). Calder, Tara McIndoe ; Keenen, Enda ; Byrne, Stephen ; Boyd, Laura .
    In: Quarterly Bulletin Articles.
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  14. Economic consequences of pre-COVID-19 epidemics: A literature review. (2021). Noy, Ilan ; Uher, Tom.
    In: Working Paper Series.
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  15. The Impact of Past Pandemics on Economic and Gender Inequalities. (2021). BRZEZINSKI, Michal .
    In: OSF Preprints.
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  16. The effects of epidemics on capital markets volatility: A case study of Borsa Istanbul. (2021). Acar, Melek ; Guzel, Fatih.
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  17. The COVID-19 Shock: A Bayesian Approach. (2021). Altug, Sumru ; Younes, Oussama Abi.
    In: JRFM.
    RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:495-:d:657535.

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  18. COVID-19, poverty and inclusive development. (2021). Miedema, Esther ; Cardozo, Mieke Lopes ; van Leynseele, Yves ; Hordijk, Michaela ; van Ewijk, Edith ; Bosch, Hilmer ; Verrest, Hebe ; Asubonteng, Kwabena ; Vegelin, Courtney ; Ros-Tonen, Mirjam ; Scholtens, Joeri ; Bavinck, Maarten ; Rammelt, Crelis ; Gupta, Joyeeta ; Pouw, Nicky.
    In: World Development.
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  19. Financing firms in hibernation during the COVID-19 pandemic. (2021). Schmukler, Sergio ; Huneeus, Federico ; Larrain, Mauricio ; Didier, Tatiana.
    In: Journal of Financial Stability.
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  20. Expectation formation following pandemic events. (2021). Liu, Dingqian ; Wu, Yuzheng ; An, Zidong.
    In: Economics Letters.
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  21. Labor market and unpaid works implications of COVID?19 for Bangladeshi women. (2021). Sarker, Mou Rani.
    In: Gender, Work and Organization.
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  22. The COVID-19 Economic Crisis in Mexico through the Lens of a Financial Conditions Index. (2021). Carrillo, Julio ; Garca, Ana Laura.
    In: Working Papers.
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  23. The impact of past pandemics on CO$_2$ emissions and transition to renewable energy. (2021). BRZEZINSKI, Michal .
    In: Papers.
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  24. Financing Firms in Hibernation during the COVID-19 Pandemic. (2020). Schmukler, Sergio ; Huneeus, Federico ; Didier, Tatiana ; Larrain, Mauricio.
    In: Policy Research Working Paper Series.
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  25. Holistic Framework for COVID-19 Pandemic as Systemic Risk. (2020). Waliszewski, Krzysztof ; Solarz, Jan Krzysztof.
    In: European Research Studies Journal.
    RePEc:ers:journl:v:xxiii:y:2020:i:special2:p:340-351.

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  26. Financing Firms in Hibernation during the COVID-19 Pandemic. (2020). Schmukler, Sergio ; Larrain, Mauricio ; Huneeus, Federico ; Didier, Tatiana.
    In: Cowles Foundation Discussion Papers.
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  27. The Economic Effects of COVID-19 Containment Measures. (2020). Ostry, Jonathan ; Furceri, Davide ; Deb, Pragyan ; Tawk, Nour.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:15087.

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  28. The political scar of epidemics. (2020). Saka, Orkun ; Eichengreen, Barry ; Aksoy, Cevat Giray.
    In: BOFIT Discussion Papers.
    RePEc:bof:bofitp:2020_014.

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  29. .

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  19. cThe Zika virus outbreak occurred at October, 2015 but was declared a PHEIC February 1, 2016 S.5 Table S.2 Details of Six Pandemic and Epidemic Events Episodes Vaccine/Cure Government Response 1968 Flu “Split vaccine” developed in 1968 The 1968 Flu spread widely as a result of international air travel, but the effects surfaced differently in different regions — the US and Canada experienced a severe initial wave with less a severe subsequent wave, while the reverse held true for Europe and Asia. In North America, where the burden of the flu was relatively small in comparison to in Europe and Asia, government relied on vaccination, hospitalization, and antibiotics to treat secondary pneumonia. Quarantines, closures, and other non-pharmaceutical means of intervention were not quite necessary to curb the disease.
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  49. Percent 0 1 2 3 4 5 Years Panel C: Government Spending (% GDP) Panel D: Government Revenue (% GDP) -.5 0 .5 1 1.5 Percent 0 1 2 3 4 5 Years -1 -.5 0 .5 Percent 0 1 2 3 4 5 Years NOTE: Impulse response functions (IRF) are estimated based on the local projection method as in Jordà (2005): yit+H = αH i + ∑4 s=1 βH s yit−s + ∑4 s=0 δH s Dit−s + Xit + εit ,with H = 0,1, ,5, where yit is the annual central government debt (% GDP), fiscal surplus (% GDP), government spending (% GDP) or government revenue (% GDP) for country i at year t, Dit is a dummy variable indicating a disease event hitting country i in year t, with Xit including country-level controls such as Trade/GDP, Domestic Credit/GDP, population and log GDP per capita. We also include a decade dummy, U.S. recession dummy, a banking crisis dummy and country fixed effects.
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  51. S32Malmendier and Shen (2018) show that personal experiences from negative economic shocks “scar” consumer behavior in the long run. The authors do not directly address health crises per se, but instead show that households who have lived through times of high unemployment spend significantly less on food and total consumption, after controlling for income, wealth, employment, demographics, and the current unemployment rate. Their model of experience-based learning is suggestive of a channel through which a shock like COVID could have persistent effects. Carroll et al. (2020) also study the negative impact of COVID on consumption spending. S.15 Figure S.5 The Effect of Health Crises on Consumption and Investment Panel A: Private Consumption Growth Panel B: Fixed Investment Growth -10 -7 -4 -1 2 5 Percent 0 1 2 3 4 5 Years -10 -7 -4 -1 2 5
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  52. SARS No cure Efforts to suppress SARS included isolation of symptomatic patients and rigid hospital infection control practices. The latter proved to be particularly effective in the 2003 SARS pandemic in hospitals in Hong Kong SAR, China, in which none of the health care workers wearing proper PPE ever contracted SARS. Governments mainly utilized containment measures which mirrored those used to rid of bubonic plagues — case tracking, quarantining those infected, bans on large gatherings, examination of travelers, improved PPE and barrier protection. These measures, working in tandem with travel restrictions, successfully curbed SARS likely because SARS is characterized by an insignificant asymptomatic carrier state and relatively shorter incubation periods.
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  54. Standard errors are corrected using Driscoll and Kraay (1998). One standard error bands are shown. S.3 Figure S.4 Health Spending and Crisis Severity Panel A: Health Spending Adjustment and Mortality Rate -.01 0 .01 .02 .03 .04 Health Spending Adjustment (% GDP) 0 20 40 60 80 100 Mortality Rate (%) Panel B: Health Spending Adjustment and Case Rate -.01 0 .01 .02 .03 .04 Health Spending Adjustment (% GDP) 0 1 2 3 Case/Pop Rate NOTE: Panel A plots the relationship between health spending adjustment (defined as the change of health spending in the onset year normalized by the previous year’s GDP) and the mortality rate, for all episodes in affected countries. The regression line has a slope of -0.000012 with t-stat at-0.59. Panel B plots the relationship between health spending adjustment and the case rate for all the episodes in affected countries. The regression line has a slope of 0.0009 with t-stat at 0.55.
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  55. WDI Log(GDP per capita) The natural logarithm of GDP per capita (measured as GDP divided by midyear population) in constant 2010 U.S. dollar at year t. WDI Recession Dummy An indicator equals to one if year t is within the contractions of U.S. business cycle and zero for the expansions. NBER Banking Crisis Dummy An indicator equals to one if a country at year t is identified as systematic banking crisis and zero otherwise.
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  56. We use our estimates from the historical episodes, juxtaposed against current forecasts of the effects of COVID-19 from the IMF, World Bank, OECD, Consensus Forecasts, and the FOMC’s Summary of Economic Projections, to gauge just how different “this time” might be. We begin with a simple projection for GDP growth in 2020 and 2021 using our estimates from the historical episodes. We report three cases of GDP growth for: world, advanced economies, and the United States. Because COVID is more severe than the average historical episode, we base the projections on estimates of the high severity dummy from our severity specifications. We use estimates for the onset year and one year later (see Figure S.1 and Table A.3). We make projections for the world and the advanced economies separately, from estimates using our full sample and advanced economies sample, respectively. We use estimates from the advanced economies sample to form our U.S. projection.
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    RePEc:arx:papers:2009.13484.

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  13. Macroeconomic Dynamics and Reallocation in an Epidemic: Evaluating the Swedish Solution. (2021). Krueger, Dirk ; Xie, Taojun ; Uhlig, Harald.
    In: ECONtribute Discussion Papers Series.
    RePEc:ajk:ajkdps:075.

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  14. Emerging evidence of a silver lining: A ridge walk to avoid an economic catastrophe in Italy and Spain. (2020). Santaeulalia-Llopis, Raul ; Ludwig, Alexander ; Busch, Christopher.
    In: SAFE White Paper Series.
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  15. On the Optimal Lockdown During an Epidemic. (2020). Niepelt, Dirk ; Gonzalez-Eiras, Martn .
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  16. Pandemic Lockdown: The Role of Government Commitment. (2020). Moser, Christian ; Yared, Pierre.
    In: MPRA Paper.
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  17. Economic Impact of COVID-19 On Bangladesh: Agenda for Immediate Action and Planning for the Future. (2020). Khan, Haider.
    In: MPRA Paper.
    RePEc:pra:mprapa:100380.

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  18. COVID-19 and Emerging Markets: An Epidemiological Multi-Sector Model for a Small Open Economy with an Application to Turkey. (2020). Yesiltas, Sevcan ; Kalemli-Ozcan, Sebnem ; Demiralp, Selva ; Çakmaklı, Cem ; Akmakli, Cem ; Yildirim, Muhammed A.
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  19. Supply and Demand in Disaggregated Keynesian Economies with an Application to the Covid-19 Crisis. (2020). Farhi, Emmanuel ; Baqaee, David.
    In: NBER Working Papers.
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  20. Social Interactions in Pandemics: Fear, Altruism, and Reciprocity. (2020). Saidi, Farzad ; Faia, Ester ; Alfaro, Laura ; Lamersdorf, Nora.
    In: NBER Working Papers.
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  21. Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19. (2020). Zilberman, Eduardo ; Bigio, Saki ; Zhang, Mengbo.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27118.

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  22. Pandemic Recession: L or V-Shaped?. (2020). Menzio, Guido ; Wiczer, David G ; Gregory, Victoria.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27105.

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  23. Inequality of Fear and Self-Quarantine: Is There a Trade-off between GDP and Public Health?. (2020). Shin, Yongseok ; Lee, Sang Yoon (Tim) ; Aum, Sangmin.
    In: NBER Working Papers.
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  24. Pandemic Lockdown: The Role of Government Commitment. (2020). Yared, Pierre ; Moser, Christian.
    In: NBER Working Papers.
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  25. Internal and External Effects of Social Distancing in a Pandemic. (2020). Shimer, Robert ; Jarosch, Gregor ; Farboodi, Maryam.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27059.

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  26. Macroeconomic Dynamics and Reallocation in an Epidemic. (2020). Uhlig, Harald ; Krueger, Dirk ; Xie, Taojun.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27047.

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  27. A Model of Asset Price Spirals and Aggregate Demand Amplification of a Covid-19 Shock. (2020). Caballero, Ricardo ; Simsek, Alp.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27044.

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  28. Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19. (2020). Schwieg, Timothy ; Liu, Jiarui ; Hortasu, Ali.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27028.

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  29. Labor Markets During the COVID-19 Crisis: A Preliminary View. (2020). Weber, Michael ; Gorodnichenko, Yuriy ; Coibion, Olivier.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27017.

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  30. Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists. (2020). Ellison, Glenn ; Avery, Christopher ; Clark, Adam ; Bossert, William.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27007.

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  31. Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home. (2020). Venkateswaran, Venky ; PHILIPPON, Thomas ; Jones, Callum.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:26984.

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  32. Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?. (2020). Werning, Iván ; Lorenzoni, Guido ; Guerrieri, Veronica ; Straub, Ludwig.
    In: NBER Working Papers.
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  33. Designing Reopening Strategies in the Aftermath of COVID-19 Lockdowns: Some Principles with an Application to Denmark. (2020). Svarer, Michael ; Andersen, Torben M.
    In: IZA Policy Papers.
    RePEc:iza:izapps:pp158.

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  34. An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies. (2020). Santos, Cezar ; Brotherhood, Luiz ; Tertilt, Michele ; Kircher, Philipp.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp13265.

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  35. On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution. (2020). Brodeur, Abel ; Wright, Taylor ; Cook, Nikolai.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp13255.

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  36. Labor Markets during the COVID-19 Crisis: A Preliminary View. (2020). Weber, Michael ; Gorodnichenko, Yuriy ; Coibion, Olivier.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp13139.

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  37. Optimal Prevention and Eradication of Epidemics. (2020). d'Albis, Hippolyte ; Augeraud-Veron, Emmanuelle.
    In: Working Papers.
    RePEc:hal:wpaper:halshs-02563356.

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  38. Optimal Prevention and Eradication of Epidemics. (2020). d'Albis, Hippolyte ; Augeraud-Veron, Emmanuelle.
    In: PSE Working Papers.
    RePEc:hal:psewpa:halshs-02563356.

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  39. Pandemic economics: optimal dynamic confinement under uncertainty and learning. (2020). Gollier, Christian.
    In: Post-Print.
    RePEc:hal:journl:hal-03180664.

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  40. Bitcoin: An Impossibility Theorem for Proof-of-Work based Protocols. (2020). Strack, Philipp ; Kruse, Thomas.
    In: Cowles Foundation Discussion Papers.
    RePEc:cwl:cwldpp:2229.

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  41. Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists. (2020). Ellison, Sara ; Clark, Adam Thomas ; Bossert, William ; Avery, Christopher.
    In: CESifo Working Paper Series.
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  42. On the Optimal Lockdown during an Epidemic. (2020). Gonzalez-Eiras, Martin ; Niepelt, Dirk.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_8240.

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  43. Labor Markets during the Covid-19 Crisis: A Preliminary View. (2020). Weber, Michael ; Gorodnichenko, Yuriy ; Coibion, Olivier.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_8238.

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  44. Optimal Border Control during the Re-opening Phase of the COVID-19 Pandemic. (2020). Weber, Enzo ; Serhan, Duaa ; Strohsal, Till ; Zhu, Zhen.
    In: Papers.
    RePEc:arx:papers:2008.13561.

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  45. Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach. (2020). Toulis, Panos .
    In: Papers.
    RePEc:arx:papers:2006.16214.

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  46. Nash SIR: An Economic-Epidemiological Model of Strategic Behavior During a Viral Epidemic. (2020). McAdams, David.
    In: Papers.
    RePEc:arx:papers:2006.10109.

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  47. Mortality containment vs. economics opening: optimal policies in a SEIARD model. (2020). Wasmer, Etienne ; Gandolfi, Alberto ; Beretta, Elena ; Aspri, Andrea.
    In: Papers.
    RePEc:arx:papers:2006.00085.

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  48. Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data. (2020). Yamamura, Eiji ; Tsutsui, Yoshiro.
    In: Papers.
    RePEc:arx:papers:2005.13008.

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  49. Optimal Trade-Off Between Economic Activity and Health During an Epidemic. (2020). Andersson, Tommy ; Ostling, Robert ; Spiro, Daniel ; Erlanson, Albin.
    In: Papers.
    RePEc:arx:papers:2005.07590.

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  50. Knowledge, Germs and Output. (). Shi, Shouyong.
    In: Review of Economic Dynamics.
    RePEc:red:issued:20-358.

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