Jump to navigation
Benoîte De Saporta (Université de Montpellier)
Toulouse: TSE, October 25, 2018, 11:00–12:15, room MS 003
Le but de cet exposé est de présenter une méthode numérique pour approcher la fonction valeur d'un problème général de contrôle impulsionnel pour les processus de Markov déterministes par morceaux. L'approche est basée sur la discrétisation par quantification optimale d'une chaîne de Markov à temps...
Caterina Calsamiglia (Institute of Political Economy and Governance)
TSE, October 23, 2018, 15:30–17:00, room MS 001
We model household choice of schools under the Boston mechanism (BM) and develop a new method, applicable to a broad class of mechanisms, to fully solve the choice problem even if it is infeasible via the traditional method. We estimate the joint distribution of household preferences and...
Stefan Baumgärtner (University of Freiburg)
Toulouse: TSE, October 22, 2018, 11:00–12:15, room MS 003
Ecosystem resilience, i.e. an ecosystem's ability to maintain its basic functions and controls under disturbances, is often interpreted as insurance: by decreasing the probability of future drops in the provision of ecosystem services, resilience insures risk-averse ecosystem users against...
October 19, 2018, room MS 003
Stephanie Von Hinke Kessler Scholder (University of Bristol)
TSE, October 18, 2018, 11:00–12:15, room MS 003
This paper exploits the 1972 British compulsory schooling law that raised the minimum school leaving age from 15 to 16 to examine the causal effect of education on the nutritional composition of the diet around middle age. Using a regression discontinuity design, the findings suggest that the...
Luis Aguiar
TSE & IAST, October 17, 2018, 12:30–13:30, room MS003
Esa Ollila (Aalto University)
Toulouse: TSE, October 17, 2018, 11:00–12:15, room MD 006
We consider the problem of estimating a high-dimensional (HD) covariance matrix when the sample size is smaller, or not much larger, than the dimensionality of the data, which could potentially be very large. We develop a regularized sample covariance matrix (RSCM) estimator that is based on...
Whitney K. Newey (Massachusetts Institute of Technology)
TSE, October 16, 2018, 15:30–17:00, room MS 001
Many objects of interest can be expressed as an L2 continuous functional of a regression, including average treatment effects, economic average consumer surplus, expected condi- tional covariances, and discrete choice parameters that depend on expectations. Debiased machine learning (DML) of these...
Bruno Strulovici (Northwestern University)
Toulouse: TSE, October 16, 2018, 11:00–12:30, room MS 001
This paper proposes a modern mechanism design approach to study welfare-maximizing criminal judicial processes. We provide a framework for reducing a complex judicial process to a single-agent, direct-revelation mechanism focused on the defendant, and identify a commitment assumption that justifies...
Darius Lakdawalla (University of Southern California)
TSE, October 15, 2018, 14:00–15:30, room MS 001
A longstanding literature explores how altruism affects the way physicians respond to incentives and provide care. We analyze how patient socioeconomic status mediates these responses. We show theoretically that patient socioeconomic status systematically influences the way physicians respond to...
