Spillovers through Supply Chain

7 novembre 2019
7 November 2019
Contatti: 
Doctoral School of Social Sciences
via Verdi 26, 38122 - Trento
Tel. 
+39 0461 283756 - 2290
Fax 
+39 0461 282335

Skype: school.socialsciences

Venue: Seminar room, first floor, Department of Economics and Management, via Inama 5

Time: 2 PM

Speaker:

Abstract:

Over the past decade, there has been a surge in using local labor market variation to inform macroeconomic questions. Although it offers the promise of sharper identification, only relative local treatment effects are typically identified, whereas it is the absolute local treatment effects that are relevant for policy. We demonstrate theoretically that the fundamental challenge in recovering absolute local treatment effects from relative local treatment effects is spatial interdependence. We present an approximate solution to this and develop a empirical framework to implement it. This is made feasible using a transactional level dataset on international trade. We construct exogenous shocks to a firm by exploiting a beneficial consequence of spatial interdependence: local shocks in economically distant firms can be used to instrument changes in economically close firms.

The paper is co-authored with Caleb Kwon, Harvard University.

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application/pdfPoster - Jordan Norris(PDF | 1 MB)