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Key Links in Network Interactions: Assessing Route-specific Travel Restrictions in China during the Covid-19 Pandemic

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  • Chen, Xi
  • Qiu, Yun
  • Shi, Wei
  • Yu, Pei

Abstract

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate outcomes, and provide a measure that quantifies the contribution of a network link to the aggregate outcomes, which complements the intercentrality measure of the key network node proposed by Ballester, Calv'o-Armengol, and Zenou (2006). We provide an example examining the spread of Covid-19 in China. Travel restrictions were imposed to limit the spread of infectious diseases. As uniform restrictions can be inefficient and incur unnecessarily high costs, we examine the design of restrictions that target specific travel routes. Our approach may be generalized to multiple countries to guide policies during epidemics ranging from ex ante route-specific travel restrictions to ex post health measures based on travel histories, and from the initial travel restrictions to the phased reopening.

Suggested Citation

  • Chen, Xi & Qiu, Yun & Shi, Wei & Yu, Pei, 2022. "Key Links in Network Interactions: Assessing Route-specific Travel Restrictions in China during the Covid-19 Pandemic," GLO Discussion Paper Series 1030, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1030
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    1. Lawrence E. Blume & William A. Brock & Steven N. Durlauf & Rajshri Jayaraman, 2015. "Linear Social Interactions Models," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 444-496.
    2. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2006. "Who's Who in Networks. Wanted: The Key Player," Econometrica, Econometric Society, vol. 74(5), pages 1403-1417, September.
    3. Jeffrey Brinkman & Kyle Mangum, 2020. "The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic," Working Papers 20-38, Federal Reserve Bank of Philadelphia.
    4. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    5. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    6. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
    7. Cohen-Cole, Ethan & Fletcher, Jason M., 2008. "Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic," Journal of Health Economics, Elsevier, vol. 27(5), pages 1382-1387, September.
    8. Coralio Ballester & Antoni Calvó-Armengol & Yves Zenou, 2010. "Delinquent Networks," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 34-61, March.
    9. Fowler, J.H. & Christakis, N.A., 2008. "Estimating peer effects on health in social networks: A response to Cohen-Cole and Fletcher; and Trogdon, Nonnemaker, and Pais," Journal of Health Economics, Elsevier, vol. 27(5), pages 1400-1405, September.
    10. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    11. Manski, Charles F. & Molinari, Francesca, 2021. "Estimating the COVID-19 infection rate: Anatomy of an inference problem," Journal of Econometrics, Elsevier, vol. 220(1), pages 181-192.
    12. Margherita Comola & Silvia Prina, 2021. "Treatment Effect Accounting for Network Changes," The Review of Economics and Statistics, MIT Press, vol. 103(3), pages 597-604, July.
    13. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    14. Clark, Andrew E. & Nong, Huifu & Zhu, Hongjia & Zhu, Rong, 2021. "Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic," China Economic Review, Elsevier, vol. 68(C).
    15. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    16. David Holtz & Michael Zhao & Seth G. Benzell & Cathy Y. Cao & Mohammad Amin Rahimian & Jeremy Yang & Jennifer Allen & Avinash Collis & Alex Moehring & Tara Sowrirajan & Dipayan Ghosh & Yunhao Zhang & , 2020. "Interdependence and the cost of uncoordinated responses to COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(33), pages 19837-19843, August.
    17. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    19. Patacchini, Eleonora & Rainone, Edoardo & Zenou, Yves, 2017. "Heterogeneous peer effects in education," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 190-227.
    20. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    21. Angelo Mele, 2017. "A Structural Model of Dense Network Formation," Econometrica, Econometric Society, vol. 85, pages 825-850, May.
    22. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    23. Peter T. Leeson & Louis Rouanet, 2021. "Externality and COVID‐19," Southern Economic Journal, John Wiley & Sons, vol. 87(4), pages 1107-1118, April.
    24. Duan, Hongbo & Bao, Qin & Tian, Kailan & Wang, Shouyang & Yang, Cuihong & Cai, Zongwu, 2021. "The hit of the novel coronavirus outbreak to China's economy," China Economic Review, Elsevier, vol. 67(C).
    25. Lung-Fei Lee & Xiaodong Liu & Eleonora Patacchini & Yves Zenou, 2021. "Who is the Key Player? A Network Analysis of Juvenile Delinquency," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 849-857, July.
    26. Deng, Liuchun & Sun, Yufeng, 2017. "Criminal network formation and optimal detection policy: The role of cascade of detection," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 43-63.
    27. Dai, Ruochen & Feng, Hao & Hu, Junpeng & Jin, Quan & Li, Huiwen & Wang, Ranran & Wang, Ruixin & Xu, Lihe & Zhang, Xiaobo, 2021. "The impact of COVID-19 on small and medium-sized enterprises (SMEs): Evidence from two-wave phone surveys in China," China Economic Review, Elsevier, vol. 67(C).
    28. Charles F. Manski, 2004. "Statistical Treatment Rules for Heterogeneous Populations," Econometrica, Econometric Society, vol. 72(4), pages 1221-1246, July.
    29. Meng, Dawen & Sun, Lei & Tian, Guoqiang, 2022. "Dynamic mechanism design on social networks," Games and Economic Behavior, Elsevier, vol. 131(C), pages 84-120.
    30. Saidi, Farzad & Alfaro, Laura & Faia, Ester & Lamersdorf, Nora, 2020. "Social Interactions in Pandemics: Fear, Altruism, and Reciprocity," CEPR Discussion Papers 14716, C.E.P.R. Discussion Papers.
    31. Lee, Lung-fei, 2007. "Identification and estimation of econometric models with group interactions, contextual factors and fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 333-374, October.
    32. Yang Sun & Wei Zhao & Junjie Zhou, 2021. "Structural Interventions in Networks," Papers 2101.12420, arXiv.org, revised Feb 2021.
    33. Jayson S. Jia & Xin Lu & Yun Yuan & Ge Xu & Jianmin Jia & Nicholas A. Christakis, 2020. "Population flow drives spatio-temporal distribution of COVID-19 in China," Nature, Nature, vol. 582(7812), pages 389-394, June.
    34. Brinkman, Jeffrey & Mangum, Kyle, 2022. "JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic," Journal of Urban Economics, Elsevier, vol. 127(C).
    35. Lung-fei Lee & Xiaodong Liu & Xu Lin, 2010. "Specification and estimation of social interaction models with network structures," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 145-176, July.
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    More about this item

    Keywords

    network interactions; key network links; Covid-19; transmission;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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