Interacting Regional Policies in Containing a Disease
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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.
- 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.
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bizzarri, Matteo & Panebianco, Fabrizio & Pin, Paolo, 2025.
"Homophily and infections: Static and dynamic effects,"
Games and Economic Behavior, Elsevier, vol. 150(C), pages 235-259.
- Matteo Bizzarri & Fabrizio Panebianco & Paolo Pin, 2023. "Homophily and infections: static and dynamic effects," Papers 2304.11934, arXiv.org, revised Aug 2024.
- Matteo Bizzarri & Fabrizio Panebianco & Paolo Pin, 2023. "Homophily and Infections: Static and Dynamic Effects," CSEF Working Papers 672, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Julliard, Christian & Shi, Ran & Yuan, Kathy, 2023.
"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.
- Coven, Joshua & Gupta, Arpit & Yao, Iris, 2023. "JUE Insight: Urban flight seeded the COVID-19 pandemic across the United States," Journal of Urban Economics, Elsevier, vol. 133(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Cátia Batista & Marcel Fafchamps & Pedro C Vicente, 2022.
"Keep It Simple: A Field Experiment on Information Sharing among Strangers [Changing Saving and Investment Behavior: The Impact of Financial Literacy Training and Reminders on Micro-Businesses],"
The World Bank Economic Review, World Bank, vol. 36(4), pages 857-888.
- Batista, Catia & Fafchamps, Marcel & Vicente, Pedro C., 2021. "Keep It Simple: A Field Experiment on Information Sharing among Strangers," IZA Discussion Papers 14780, Institute of Labor Economics (IZA).
- Rehse, Dominik & Tremöhlen, Felix, 2020. "Fostering participation in digital public health interventions: The case of digital contact tracing," ZEW Discussion Papers 20-076, ZEW - Leibniz Centre for European Economic Research.
- Rehse, Dominik & Tremöhlen, Felix, 2022. "Fostering participation in digital contact tracing," Information Economics and Policy, Elsevier, vol. 58(C).
- Ho, Thong Quoc & Nie, Zihan & Alpizar, Francisco & Carlsson, Fredrik & Nam, Pham Khanh, 2022.
"Celebrity endorsement in promoting pro-environmental behavior,"
Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 68-86.
- Ho, Thong & Nie, Zihan & Alpizar, Francisco & Carlsson, Fredrik & Khanh Nam, Pham, 2020. "Celebrity Endorsement in Promoting Pro-Environmental Behavior," Working Papers in Economics 795, University of Gothenburg, Department of Economics.
- Tyler H. McCormick & Tian Zheng, 2015. "Latent Surface Models for Networks Using Aggregated Relational Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1684-1695, December.
- Islam, Asad & Kusnadi, Gita & Rezki, Jahen & Sim, Armand & van Empel, Giovanni & Vlassopoulos, Michael & Zenou, Yves, 2024.
"Addressing vaccine hesitancy using local ambassadors: A randomized controlled trial in Indonesia,"
European Economic Review, Elsevier, vol. 163(C).
- Islam, Asadul & Kusnadi, Gita & Rezki, Jahen & Sim, Armand & van Empel, Giovanni & Vlassopoulos, Michael & Zenou, Yves, 2023. "Addressing Vaccine Hesitancy Using Local Ambassadors: A Randomized Controlled Trial in Indonesia," IZA Discussion Papers 15899, Institute of Labor Economics (IZA).
- Eric Auerbach, 2019. "Testing for Differences in Stochastic Network Structure," Papers 1903.11117, arXiv.org, revised Nov 2020.
- Jinhua Xie & Gangqiao Yang & Ge Wang & Shuoyan He, 2024. "How does social capital affect farmers’ environment-friendly technology adoption behavior? A case study in Hubei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18361-18384, July.
- Laleh Tafakori & Armin Pourkhanali & Riccardo Rastelli, 2022. "Measuring systemic risk and contagion in the European financial network," Empirical Economics, Springer, vol. 63(1), pages 345-389, July.
- Bellon, Matthieu & Dabla-Norris, Era & Khalid, Salma, 2023. "Technology and tax compliance spillovers: Evidence from a VAT e-invoicing reform in Peru," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 756-777.
- Mark S. Handcock & Adrian E. Raftery & Jeremy M. Tantrum, 2007. "Model‐based clustering for social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 301-354, March.
- Björkegren, Daniel & Karaca, Burak Ceyhun, 2022. "Network adoption subsidies: A digital evaluation of a rural mobile phone program in Rwanda," Journal of Development Economics, Elsevier, vol. 154(C).
- Ian E. Fellows & Mark S. Handcock, 2023. "Modeling of networked populations when data is sampled or missing," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 21-35, April.
- Samrachana Adhikari & Beau Dabbs, 2018. "Social Network Analysis in R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 225-253, April.
- Guang Ouyang & Dipak K. Dey & Panpan Zhang, 2020. "Clique-Based Method for Social Network Clustering," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 254-274, April.
- Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
- Thanne Mafaziya Nijamdeen & Jean Huge & Hajaniaina Ratsimbazafy & Kodikara Arachchilage Sunanda Kodikara & Farid Dahdouh-Guebas, 2022. "A social network analysis of mangrove management stakeholders in Sri Lanka's Northern Province," ULB Institutional Repository 2013/349602, ULB -- Universite Libre de Bruxelles.
- Yuan, Quan & Liu, Binghui, 2021. "Community detection via an efficient nonconvex optimization approach based on modularity," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
- Elisabeth SADOULET, 2016.
"Review of Theories of Learning for Adopting,"
Working Papers
P163, FERDI.
- Elisabeth SADOULET, 2016. "Review of Theories of Learning for Adopting," Working Papers P163, FERDI.
- Fernando, A. Nilesh, 2021. "Seeking the treated: The impact of mobile extension on farmer information exchange in India," Journal of Development Economics, Elsevier, vol. 153(C).
More about this item
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)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2008.10745. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.