Recherche avancée

3–4 mai 2021

Conférence

John J. Horton (MIT Sloan & NBER)

20 avril 2021, 14h00–15h00, Zoom Meeting

A core issue in designed, computer-mediated markets is the effect that platform pricing choices have on the marketplace equilibrium. We explore this issue in the context of ride-sharing. Following Uber-initiated fare increases, drivers make more money per trip and, initially, more per hour-worked....

Séminaire

Daniel Buncic

20 avril 2021, 11h30–12h30, BDF Paris, salle Online

This paper corrects the implementation of Median Unbiased Estimation (MUE) in Stage 2 of Holston, Laubach and Williams’ (2017) framework to estimate the natural rate of interest and provides corresponding corrected estimates. The correction is quantitatively important. It yields substantially...

Séminaire

Maha Bahou (JOPACC)

16 avril 2021, 17h00–18h30

Séminaire

Hennie Bester

16 avril 2021, 17h00–18h30

Séminaire

William Cook (World Bank)

16 avril 2021, 17h00–18h30

Séminaire

Kevin Spiritus (Erasmus School of Economics, Netherlands)

TSE, 16 avril 2021, 11h00–12h30, salle Zoom

We study the optimal taxation of risky and non-risky capital income when the government imposes an optimal nonlinear earnings tax on heterogeneous households. Households can hold three assets: one risk-free, one risky but diversifiable, and one a private investment with idiosyncratic risk whose...

Séminaire

Sabrine Bair

16 avril 2021, 03h30–16h30, Online

Does market information enable African farmers to value their products better? To answer this question, we run an RCT in Burkina Faso, focusing on sesame producers: an important cash-crop production. We consider two types of treatment. The first provides information on prices estimated at the...

Séminaire

Online, 15 avril 2021, 13h30–17h00

Conférence

Yohann De Castro (Ecole Central de Lyon)

Toulouse : TSE, 15 avril 2021, 11h00–12h15, Zoom

This paper investigates the statistical estimation of a discrete mixing measure µº involved in a kernel mixture model. Using some recent advances in l1-regularization over the space of measures, we introduce a “data fitting and regularization” convex program for estimating µº in a grid-less manner...

Séminaire