Interacting Regional Policies in Containing a Disease
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- Arun G. Chandrasekhar & Paul Goldsmith-Pinkham & Matthew O. Jackson & Samuel Thau, 2021. "Interacting regional policies in containing a disease," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(19), pages 2021520118-, May.
References listed on IDEAS
- Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021.
"Can Network Theory-Based Targeting Increase Technology Adoption?,"
American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
- Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2018. "Can Network Theory-based Targeting Increase Technology Adoption?," NBER Working Papers 24912, National Bureau of Economic Research, Inc.
- Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2018. "Can Network Theory-based Targeting Increase Technology Adoption?," Working Papers 1062, Economic Growth Center, Yale University.
- Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2018. "Can Network Theory-based Targeting Increase Technology Adoption?," Papers 1808.01205, arXiv.org.
- Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2018. "Can Network Theory-based Targeting Increase Technology Adoption"," Cowles Foundation Discussion Papers 2139, Cowles Foundation for Research in Economics, Yale University.
- Hortaçsu, Ali & Liu, Jiarui & Schwieg, Timothy, 2021.
"Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19,"
Journal of Econometrics, Elsevier, vol. 220(1), pages 106-129.
- Ali Hortaçsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19," NBER Working Papers 27028, National Bureau of Economic Research, Inc.
- Ali Hortacsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: an Application to COVID-19," CeMMAP working papers CWP21/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
- Abhijit Banerjee & Marcella Alsan & Emily Breza & Arun G. Chandrasekhar & Abhijit Chowdhury & Esther Duflo & Paul Goldsmith-Pinkham & Benjamin A. Olken, 2020. "Messages on COVID-19 Prevention in India Increased Symptoms Reporting and Adherence to Preventive Behaviors Among 25 Million Recipients with Similar Effects on Non-recipient Members of Their Communiti," NBER Working Papers 27496, National Bureau of Economic Research, Inc.
- McCormick, Tyler H. & Salganik, Matthew J. & Zheng, Tian, 2010. "How Many People Do You Know?: Efficiently Estimating Personal Network Size," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 59-70.
- Ali Hortaçsu & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19," Working Papers 2020-37, Becker Friedman Institute for Research In Economics.
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"The spread of COVID-19 in London: Network effects and optimal lockdowns,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 2125-2154.
- Julliard, Christian & Shi, Ran & Yuan, Kathy, 2020. "The spread of COVID-19 in London: network effects and optimal lockdowns," LSE Research Online Documents on Economics 118864, London School of Economics and Political Science, LSE Library.
- Julliard, Christian & Shi, Ran & Yuan, Kathy, 2023. "The spread of COVID-19 in London: network effects and optimal lockdowns," LSE Research Online Documents on Economics 118825, London School of Economics and Political Science, LSE Library.
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Papers
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-NET-2020-09-21 (Network Economics)
- NEP-URE-2020-09-21 (Urban and Real Estate Economics)
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