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Molly Crockett (Princeton University)
Toulouse: IAST, October 24, 2023, 11:30–12:30, room Auditorium 4 (First floor - TSE Building)
Humans are prodigious social learners, and social learning is the engine of cumulative culture. In online social networks, algorithms mediate how we learn from others, with implications for cultural evolution in the digital age. In this talk, I will explore how social learning unfolds in online...
Stephan Lauermann (Bonn University)
Toulouse: TSE, October 24, 2023, 11:00–12:30, room Auditorium 3
October 23, 2023, 15:30–17:30
Tina Søreide (Norwegian Competition Authority)
Toulouse: TSE, October 20, 2023, 15:30–17:30, room Auditorium A4
As society evolves, price coordination comes in new forms. What factors determine enforcement agencies' ability to control the problem? And where do we currently position ourselves in addressing it? This seminar delves into the European law enforcement framework, highlighting specific challenges...
Ilaria Pretelli
Toulouse: IAST, October 20, 2023, 12:45–13:45, room Auditorium 4 (first floor - TSE Building)
Concluding part of a larger book project on 'Children Learning Across Cultures', the chapter summarized in this talk aims at helping researchers interact with the policy world. The book is mainly targeting psychologists, anthropologists and other researchers working on children learning in a cross...
Jonathan Skinner (Dartmouth College)
TSE, October 20, 2023, 11:00–12:30, room Auditorium 4
There are widespread differences in total factor productivity across producers in the U.S. and around the world. To help explain these variations, we devise a general test for misallocation in input choices – the underuse of effective inputs and overuse of ineffective ones. Misallocation implies...
Franck Iutzeler (Université Toulouse 3)
Toulouse: TSE, October 19, 2023, 11:00–12:15, room Auditorium 3 - JJ Laffont
In statistical learning, the distribution of the data can change between training and practical use-cases due to biases or distribution shifts. A remedy for this obstacle is to train a model on the worst distribution for the objective that is close to the data (in the sense of the Wasserstein...
Philipp Ketz (Paris School of Economics)
TSE, October 17, 2023, 15:30–16:50, room Auditorium 4
In this paper, we use the results in Andrews and Cheng (2012), extended to allow for parameters to be near or at the boundary of the parameter space, to derive the asymptotic distributions of the two test statistics that are used in the two-step (testing) procedure proposed by Pedersen and Rahbek (...
Alexia Delfino (Bucconi University)
Toulouse: IAST, October 17, 2023, 11:30–12:30, room Auditorium 4 (first Floor - tse BUILDING)
Recent work in neuroscience and psychology has underscored the impact of visualizing future scenarios on decision making, via mental simulation, emotional amplification, and consolidation of memory. We show evidence of the path and importance of imagery-based decision making for the vital economic...
Amy Handlan
October 17, 2023, 11:30–12:30, BDF, Paris, room 2 au 9 rue du Colonel Driant & Online
This paper shows that the wording of Federal Reserve communication affects expectations and other economic variables over and above the effects of setting the federal funds rate. Adapting neural network methods for text analysis from the computer science literature, I analyze how the wording in...
