- Jul 2023
- May 2021
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opportunityinsights.org opportunityinsights.org
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The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data. (2020, May 7). Opportunity Insights. https://opportunityinsights.org/paper/tracker/
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- Mar 2021
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twitter.com twitter.com
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OC. (2021, January 22). Leadership. One of the most important and non-trivial steps taken by @JoeBiden is the decision to prioritize the protection of those at the highest risk. In Israel, our analysis shows that municipalities at low SES have the lowest rates of vaccination of at-risk populations.1/4 https://t.co/1aiqymQlMQ [Tweet]. @MDCaspi. https://twitter.com/MDCaspi/status/1352590064900038662
Tags
- data
- infections
- municipalities
- education
- leadership
- healthcare
- vaccine
- accurate
- vaccination
- policy makers
- COVID-19
- reduction
- lower socio-economic status
- virus cases
- transparency
- rates
- is:tweet
- data scientists
- metric
- high risk
- Israel
- lang:en
- vulnerable
- pandemic
- elders
- policy experts
Annotators
URL
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www.sciencedirect.com www.sciencedirect.com
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Goolsbee, Austan, and Chad Syverson. ‘Fear, Lockdown, and Diversion: Comparing Drivers of Pandemic Economic Decline 2020’. Journal of Public Economics 193 (1 January 2021): 104311. https://doi.org/10.1016/j.jpubeco.2020.104311.
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- Dec 2020
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twitter.com twitter.com
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ReconfigBehSci @SciBeh (2020) For those who might think this issue isn't settled yet, the piece include below has further graphs indicating just how much "protecting the economy" is associated with "keeping the virus under control" Twitter. Retrieved from: https://twitter.com/i/web/status/1306216113722871808
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- Oct 2020
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13640/
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- Sep 2020
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www.medrxiv.org www.medrxiv.org
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Friston, K., Costello, A., & Pillay, D. (2020). Dark matter, second waves and epidemiological modelling. MedRxiv, 2020.09.01.20185876. https://doi.org/10.1101/2020.09.01.20185876
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- Aug 2020
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covid-19.iza.org covid-19.iza.org
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A Literature Review of the Economics of COVID-19. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 31, 2020, from https://covid-19.iza.org/publications/dp13411/
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Mongey, S., Pilossoph, L., & Weinberg, A. (2020). Which Workers Bear the Burden of Social Distancing Policies? (Working Paper No. 27085; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27085
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Gale, W. G., Gelfond, H., Fichtner, J. J., & Harris, B. H. (2020). The Wealth of Generations, With Special Attention to the Millennials (Working Paper No. 27123; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27123
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www.nber.org www.nber.org
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Alstadsæter, A., Bratsberg, B., Eielsen, G., Kopczuk, W., Markussen, S., Raaum, O., & Røed, K. (2020). The First Weeks of the Coronavirus Crisis: Who Got Hit, When and Why? Evidence from Norway (Working Paper No. 27131; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27131
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covid-19.iza.org covid-19.iza.org
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Modelling the Distributional Impact of the COVID-19 Crisis. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13235/
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covid-19.iza.org covid-19.iza.org
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Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
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- Jul 2020
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www.nber.org www.nber.org
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Aucejo, E. M., French, J. F., Araya, M. P. U., & Zafar, B. (2020). The Impact of COVID-19 on Student Experiences and Expectations: Evidence from a Survey (Working Paper No. 27392; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27392
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www.nber.org www.nber.org
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Granja, J., Makridis, C., Yannelis, C., & Zwick, E. (2020). Did the Paycheck Protection Program Hit the Target? (Working Paper No. 27095; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27095
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osf.io osf.io
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Stephany, F., Dunn, M., Sawyer, S., & Lehdonvirta, V. (2020). Distancing Bonus or Downscaling Loss? The Changing Livelihood of US Online Workers in Times of COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/vmg34
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osf.io osf.io
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Dunn, M., Stephany, F., Sawyer, S., Munoz, I., Raheja, R., Vaccaro, G., & Lehdonvirta, V. (2020). When Motivation Becomes Desperation: Online Freelancing During the COVID-19 Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/67ptf
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osf.io osf.io
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Breznau, N. (2020). The Welfare State and Risk Perceptions: The Novel Coronavirus Pandemic and Public Concern in 70 Countries. https://doi.org/10.31235/osf.io/96fd2
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osf.io osf.io
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Burgess, M. G., Langendorf, R. E., Ippolito, T., & Pielke, R. (2020). Optimistically biased economic growth forecasts and negatively skewed annual variation [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/vndqr
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Bulbulia, J., Barlow, F., Davis, D. E., Greaves, L., Highland, B., Houkamau, C., Milfont, T. L., Osborne, D., Piven, S., Shaver, J., Troughton, G., Wilson, M., Yogeeswaran, K., & Sibley, C. G. (2020). National Longitudinal Investigation of COVID-19 Lockdown Distress Clarifies Mechanisms of Mental Health Burden and Relief [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cswde
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Pueyo, T. (2020, June 12). Coronavirus: Should We Aim for Herd Immunity Like Sweden? Medium. https://medium.com/@tomaspueyo/coronavirus-should-we-aim-for-herd-immunity-like-sweden-b1de3348e88b
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- Apr 2020
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www.blackrock.com www.blackrock.com
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2020 Global Outlook | BlackRock Investment Institute. (n.d.). BlackRock. Retrieved April 27, 2020, from https://www.blackrock.com/corporate/insights/blackrock-investment-institute/publications/outlook
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- Apr 2017
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The Impact of False and Misleading Economic Data
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www.hec.edu www.hec.edu
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Countries falsifying economic data: How statistics reveal fraudulent figures
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