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DTSTART:20260329T010000
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DTSTART:20261025T010000
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DTSTART;TZID=Europe/Helsinki:20260115T121500
DTEND;TZID=Europe/Helsinki:20260115T133000
DTSTAMP:20260709T224949
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SUMMARY:Federico CRIPPA  (Northwestern University) "Identification\, Estimation\, and Inference in Two-Sided Interaction Models”"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate : 15 th  January 2026 \nSalle 3001 \nFederico Crippa (Northwestern University) “Identification\, Estimation\, and Inference in Two-Sided Interaction Models” \nAbstract: This paper studies a class of models for two-sided interactions\, where outcomes depend on latent characteristics of two distinct agent types. Models in this class have two core elements: the matching network\, which records which agent pairs interact\, and the interaction function\, which maps latent characteristics of these agents to outcomes and determines the role of complementarities. I introduce the Tukey model\, which captures complementarities with a single interaction parameter\, along with two extensions that allow richer complementarity patterns. First\, I establish an identification trade-off between the flexibility of the interaction function and the density of the matching network: the Tukey model is identified under mild conditions\, whereas the more flexible extensions require dense networks that are rarely observed in applications. Second\, I propose a cycle-based estimator for the Tukey interaction parameter and show that it is consistent and asymptotically normal even when the network is sparse. Third\, I use its asymptotic distribution to construct a formal test of no complementarities. Finally\, an empirical illustration shows that the Tukey model recovers economically meaningful complementarities.  \n  \n  \n
URL:https://crest.science/event/federico-crippa-northwestern-university-t-b-a/
CATEGORIES:Macroeconomics,Seminars
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