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DTSTART:20230326T010000
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DTSTART;TZID=Europe/Helsinki:20230119T121500
DTEND;TZID=Europe/Helsinki:20230119T133000
DTSTAMP:20260410T223459
CREATED:20230106T075821Z
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SUMMARY:Zheng Wang (EUI Florence) "The linking effect: causal identification and estimation of the effect of peer relationship"
DESCRIPTION:The Econometrics Seminar:\nTime:12.15 – 13.30\nDate: 19th of January 2022\nRoom 3001 \nZheng Wang (EUI Florence) “The linking effect: causal identification and estimation of the effect of peer relationship” \nAbstract : The endogeneity of network formation has been a major obstacle to the study of peer influence. This paper proposes a causal identification solution in the potential outcome framework. Combining results from multiple causal inference and statistical network analysis\, I show that confounding can be addressed by inferring propensity scores of network link formation from the adjacency matrix. This identification strategy imposes minimum restrictions on the data-generating process and\, unlike existing econometric solutions\, does not rely on any parametric modelling. As an application\, I estimate the effect of high school friendships on bachelor’s degree attainment. While previous literature finds that exposure to more high-achieving boys makes girls less likely to obtain a bachelor’s degree\, I show that if the girls consider the boys as friends\, their interactions induce a positive impact instead. Since friendship endogeneity has been addressed\, the estimated effect is causal. \n  \nOrganizer:\nArne UHLENDORFF (CREST) \nSponsors:\nCREST \n
URL:https://econ.ip-paris.fr/event/zheng-wang-eui-florence-the-linking-effect-causal-identification-and-estimation-of-the-effect-of-peer-relationship/
CATEGORIES:Economics,Seminars
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