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Lukas Laffers (Matej Bel University - Slovaquie)
TSE, September 20, 2016, 15:30–17:00, room MS 001
In order to identify the Average Treatment Effect (ATE) of a binary treatment on an outcome of interest, we need to impose, often implicitly, the so called Stable Unit Treatment Value Assumption (SUTVA). In fact only under SUTVA we can observe at least one potential outcome for each individual. If...
Markus K. Brunnermeier
IDEI, September 19, 2016, 12:30–14:00, room MF 323
A theory of money needs a proper place for financial intermediaries. Intermediaries diversify risks and create inside money. In downturns, micro-prudent intermediaries shrink their lending activity, fire-sell assets and supply less inside money, exactly when money demand rises. The resulting Fisher...
Giulia Pavan (University of Rome and Toulouse School of Economics)
Toulouse: TSE, September 19, 2016, 11:00–12:15, room MS 003
Easy availability of stations serving alternative fuels is an obvious concern for customers considering to buy a “green” car. Yet, the supply of fuel is seldom considered when analyzing the problem of fostering the adoption of environmentally friendly vehicles. I develop and estimate a joint model...
Léonardo Gambacorta
September 19, 2016
Donald Cox (Boston College)
Toulouse: IAST, September 16, 2016, 11:30–12:30, room MF323
Lisa Oberlander (Paris School of Economics - INRA)
TSE, September 16, 2016, 11:00–12:30, room MS003
This paper estimates the effect of globalisation on nutritional components of the diet and health outcomes using a panel dataset of 70 countries spanning 42 years (1970-2011). Our key methodological contribution is the application of the grouped fixed effects estimator developed by Bonhomme and...
Francis Bach (INRIA - Paris)
Toulouse: TSE, September 15, 2016, 11:00–12:15, room MS 003
Many machine learning and statistics problems are traditionally cast as convex optimization problems. A common difficulty in solving these problems is the size of the data, where there are many observations ("large n") and each of these is large ("large p"). In this setting, online algorithms such...
Daniel Wilhelm (University College London)
TSE, September 13, 2016, 15:30–17:00, room MS 001
This paper proposes a powerful alternative to the t-test in linear regressions when the regressor of interest is not observed. We assume there are two contaminated measurements of the regressor of interest. The two corresponding measurement errors may each possess arbitrary correlation with the...
Paul Hubert
September 13, 2016
Sophie Moinas (Toulouse School of Economics)
Toulouse: TSE, September 12, 2016, 12:30–14:00, room MS 003
