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DTSTART;TZID=Europe/Helsinki:20231009T121500
DTEND;TZID=Europe/Helsinki:20231009T133000
DTSTAMP:20260724T031117
CREATED:20230621T035625Z
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SUMMARY:Georgios ANGELIS (AMSE) "The Matching Function: a Unified Look into the Black Box"
DESCRIPTION:Macro seminar\nTime : 12h15 – 13h30 \nDate : 09 Octobre 2023 \nSalle 3001 \nGeorgios ANGELIS (AMSE) “The Matching Function: a Unified Look into the Black Box” \nAbstract: “In this paper\, we use tools from network theory to trace the properties of the matching function to the structure of granular connections between applicants and firms. We link seemingly disparate parts of the literature and recover existing functional forms as special cases. Our overarching message is that structure counts. For rich structures\, captured by non-random networks\, the matching function depends on whole sets rather than just the sizes of the two sides of the market. For less rich—random network—structures it depends on the sizes of the two sides and a few structural parameters. Structures characterized by greater asymmetries reduce the matching function’s efficacy\, while denser structures can have ambiguous effects on it. For the special case of the Erdos-Renyi network\, we show that the way the network varies with the sizes of the two sides of the market determines if the matching function exhibits constant returns to scale\, or even if it is of a specific functional form\, such as CES. \n Alessandro RIBONI (CREST) \n
URL:https://crest.science/event/georgios-angelis-amse-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20231009T161500
DTEND;TZID=Europe/Helsinki:20231009T173000
DTSTAMP:20260724T031117
CREATED:20231003T094115Z
LAST-MODIFIED:20231004T103317Z
UID:16036-1696868100-1696872600@crest.science
SUMMARY:Soonwoo Kwon (Brown University) - "Testing Mechanisms"
DESCRIPTION:Paris Econometrics Seminar CREST – PSE – Sciences Po\nTime: 04:15 pm – 05:30 pm\nDate: 09th of October\nRoom : 3001 \n  \nSoonwoo Kwon (Brown University) – Testing Mechanisms \n\nAbstract : \nEconomists are often interested in the mechanisms by which a particular treatment affects an outcome. This paper develops tests for the “sharp null of full mediation” that the treatment D operates on the outcome Y only through a particular conjectured mechanism (or sets of mechanisms) M. A key observation is that if D is randomly assigned and has a monotone effect on M\, then D is a valid instrumental variable for the LATE of M on Y. Existing tools for testing the validity of the LATE assumptions can thus be used to test the sharp null of full mediation when M and D are binary. We extend these results to settings where M is multi-valued or multi-dimensional. We further provide methods for lower-bounding the size of the alternative mechanisms when the sharp null is rejected. An advantage of our approach relative to existing tools for mediation analysis is that it does not require stringent assumptions about how M is assigned. \nCoauthored with Jonathan Roth \n  \nOrganizers:\nElia Lapenta – CREST/ENSAE\nPhilipp Ketz – CNRS/PSE\nClément de Chaisemartin – Sciences Po \nSponsors:\nCREST \n
URL:https://crest.science/event/soonwoo-kwon-brown-university-t-b-a/
CATEGORIES:Paris Econometrics Seminar
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