Calendrier du 28 mai 2019
PSI-PSE (Petit Séminaire Informel de la Paris School of Economics) Seminar
Du 28/05/2019 de 17:00 à 18:00
DOUENNE Thomas()
FABRE Antoine()
Tax me if I win: overcoming reluctance to French carbon tax
Paris Trade Seminar
Du 28/05/2019 de 14:30 à 16:00
PSE, Campus Jourdan, 48 boulevard Jourdan, 75014, Paris - salle R2-21
NAGY David (CREI - UPF)
All aboard: The aggregate effects of port development
écrit avec César Ducruet (CNRS), Réka Juhász (Columbia University), Claudia Steinwender (MIT Sloan)
Applied Economics Lunch Seminar
Du 28/05/2019 de 12:30 à 13:30
Salle R2-01, Campus Jourdan, 48 boulevard Jourdan, 75014 Paris
PASINI Elisabetta (Queen Mary University)
Migration and competition for schools: evidence from primary education in England
This is the most updated abstract: The paper investigates the impact of immigration on the school system in England. I exploit the post-2004 inflow of migrants from A8 countries to investigate the impact on natives’ allocation in primary schools. In particular, because of their faith, the rapid increase in Polish-born residents has increased competition for Catholic schools, which are on average better performing and oversubscribed. This quasi-experimental setting enables me to estimate the impact of a school demand shock on natives’ allocation. I deal with the endogenous sorting of Polish migrants by adopting a novel version of the shift-share instrument. The results suggest that the presence of non-natives lowers the probability of natives attending Catholic schools. I observe that natives resident in areas characterized by larger inflows of Polish migrants, if displaced, substitute Catholic with equally good performing non-faith schools. Moreover, a further investigation on natives’ allocation reveals that parents are more willing to sacrifice peer composition of the school rather than distance. Finally, I look at natives’ performance three years after the enrollment date and find no evidence of negative impact on test scores, thus suggesting that changes in allocation do not have detrimental effects on natives.
TOM (Théorie, Organisation et Marchés) Lunch Seminar
Du 28/05/2019 de 12:30 à 13:30
salle R2-20, campus Jourdan - 48 bd Jourdan, 75014 Paris
KE Shaowei (China Europe International Business School (CEIBS).)
Behavioral neural networks
We provide an axiomatic foundation for a class of neural network models applied to decision making under risk, called the neural-network expected utility (NNEU) model. We weaken the independence axiom from expected utility theory in a new way consistent with many experimental findings. We show how to use simple neurons, referred to as behavioral neurons, in the NNEU model to capture behavioral biases such as reference dependence, certainty effect, overweighting of small probabilities, etc. Empirically, we find that using standard estimation approaches, the NNEU model usually has small training error but large testing error due to overfitting. However, by requiring the neural network of the NNEU model to carry behavioral neurons, its performance can be significantly improved.