Le CÉCD présente:
Marc Bellemare (University of Minnesota)
The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion*
Vous pouvez en apprendre plus sur Prof. Marc Bellemare ici.
Quand: Jeudi, 28 janvier, à 13h, sur Zoom.
Inscriptions: veuillez contacter Costin Ciobanu à costin.ciobanu@mail.mcgill.ca
Résumé: We present the first application of Pearl’s (1995) front-door criterion to observational data wherein the required point-identification assumptions plausibly hold. For identification, the front-door criterion exploits exogenous mediator variables on the causal path. We estimate the effect of authorizing a shared Uber or Lyft ride on tipping by exploiting the plausibly exogenous variation in whether one actually shares a ride with a stranger conditional on authorizing sharing, on fare level, and on time and place fixed effects. We find that most of the observed negative effect on tipping is driven by selection. We then explore the consequences of violating the identification
assumptions.
* la présentation sera donnée en anglais
Plus d’événements des Ateliers Méthodologiques de Montréal ici.
