Calendrier du 29 avril 2024
Roy Seminar (ADRES)
Du 29/04/2024 de 17:00 à 18:30
R1-09
RUBINSTEIN Ariel (NYU)
No prices and no games: the case of matching problems
écrit avec Michael Richter
Econometrics Seminar
Du 29/04/2024 de 16:15 à 17:30
PSE, room R1-14
GU Jiaying (University of Toronto)
Counterfactual Identification and Latent Space Enumeration in Discrete Outcome Models
écrit avec Co-authors: Thomas Russell and Thomas Stringham
This paper provides a unified framework for partial identification of counterfactual parameters in a general class of discrete outcome models allowing for endogenous regressors and multidimensional latent variables, all without parametric distributional assumptions. Our main theoretical result is that, when the covariates are discrete, the infinite-dimensional latent variable distribution can be replaced with a finitedimensional version that is equivalent from an identification perspective. The finite-dimensional latent variable distribution is constructed in practice by enumerating regions of the latent variable space with a new and efficient cell enumeration algorithm for hyperplane arrangements. We then show that bounds on a certain class of counterfactual parameters can be computed by solving a sequence of linear programming problems, and show how the researcher can introduce additional assumptions as constraints in the linear programs. Finally, we apply the method to a mobile phone choice example with heterogeneous choice sets, as well as an airline entry game example.
Texte intégral
Régulation et Environnement
Du 29/04/2024 de 12:00 à 13:30
R1-09
GILLINGHAM Kenneth (Yale University)
*The Electric Vehicle Rebound Effect
Electric vehicles (EVs) are a promising technology for the decarbonization of transportation, especially now that battery storage technologies are becoming more energy-dense and affordable and policy efforts are in place to make electricity generation cleaner. This study examines how much electric vehicles are driven by real-world consumers, and how these consumers respond to changes in the cost per mile of driving when they have an electric vehicle or not. Using rich address-level data on all households in Massachusetts and annual vehicle inspections that include odometer readings, we first show that long-range electric vehicles are driven just as much as comparable conventional vehicles, while short-range electric vehicles are driven less. Further, we show that households that acquire an electric vehicle drive more than previously, but not more than matched households that acquire a conventional vehicle. However, we also show that households respond to both gasoline and electricity prices in their choice of which vehicle to drive. These results highlight how a switch to electric vehicles might change driving choices in upcoming years.