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Laurent Flochel (Charles River Associates)
Toulouse: TSE, February 1, 2019, 14:30–16:30, room MF 323
Eoin Cahill (Google Marketing Solutions)
Toulouse: TSE, January 31, 2019, 17:00–18:00, room MB II
In this Business Talk, Eoin will go over the current digital marketing landscape and it’s extremely important to obtain essential digital skills. Each Google search is an opportunity for a business or organization to present its website as the answer to a searcher’s question, need, or problem. All...
Michael Becher (IAST)
Toulouse: TSE, January 24, 2019, 17:00–18:00, room MS 001
While electoral system reform is often advocated to improve the functioning of democracy, well-known empirical challenges make it difficult for social scientists to credibly asses the effects of electoral institutions. Leveraging an arguably exogenous component of two major electoral reforms, we...
Manufacture des Tabacs, Toulouse, January 23, 2019, room MF 323
Thibaud Vergé (ENSAE ParisTech)
Toulouse: TSE, January 18, 2019, 15:30–17:00, room MF 323
Andreas Ehrenmann (Chief Analyst ENGIE)
Toulouse: TSE, January 17, 2019, 17:00–18:00, room MS 001
Thibault Fally (University of California, Berkeley)
Toulouse: TSE, January 14, 2019, 14:00–15:30, room MS001
Measuring the gains from trade and their distribution is challenging. Recent empirical contributions have addressed this challenge by drawing on rich and newly available sources of microdata to measure changes in household nominal incomes and price indices. While such data have become available for...
January 10–11, 2019, room MS001-MS002-MS003
Edouard Schaal (CREI)
Toulouse: TSE, January 9, 2019, 14:00–15:30, room MS001
We study optimal transport networks in spatial equilibrium. We develop a framework consisting of a neoclassical trade model with labor mobility in which locations are arranged on a graph. Goods must be shipped through linked locations, and transport costs depend on congestion and on the...
Christine Thomas-Agnan (Toulouse School of Economics Research)
Toulouse: TSE, December 20, 2018, 11:00–12:30, room MS 003
A data vector is a composition if it contains positive values and if the total of its components is irrelevant to the analysis at hand. Mathematically, it can be modeled by a vector in the simplex of R^n. In a regression framework, one or several compositions may appear as dependent variables as...
