Recherche avancée

François Bachoc, Mark G. Genton, Klaus Nordhausen, Anne Ruiz-Gazen et Joni Virta

n° 19-998, mars 2019

Recently a blind source separation model was suggested for spatial data together with an estimator based on the simultaneous diagonalization of two scatter matrices. The asymptotic properties of this estimator are derived here and a new estimator, based on the joint diagonalization of more than two...

Document de travail

Pierre Dubois, Yassine Lefouili et Stéphane Straub

n° 19-999, mars 2019, révision décembre 2020

We use data from seven low and middle income countries with diverse drug procurement systems to assess the effect of centralized procurement on drug prices and provide a theoretical mechanism that explains this effect. Our empirical analysis is based on exhaustive data on drug sales quantities and...

Document de travail

Camelia Goga et Anne Ruiz-Gazen

n° 19-1000, mars 2019, révision juillet 2020

The odds-ratio measure is widely used in Health and Social surveys where the aim is to compare the odds of a certain event between a population at risk and a population not at risk. It can be defined using logistic regression through an estimating equation that allows a generalization to continuous...

Document de travail

Daniel Fischer, Alain Berro, Klaus Nordhausen et Anne Ruiz-Gazen

n° 19-1001, mars 2019

The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful as a preprocessing step to find clusters or as an outlier detection tool for multivariate data. Except from the packages tourr and rggobi, there is no...

Document de travail

Olivier De Groote

n° 19-1002, mars 2019, révision juin 2023

I investigate high school tracking policies using a dynamic discrete choice model of study programs and unobserved effort. I estimate the model using data from Flanders (Belgium) and perform an ex-ante evaluation of a policy that encourages underperforming students to switch to less academically...

Document de travail

Daron Acemoglu et Pascual Restrepo

mars 2019

Articial Intelligence is set to inuence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological change...

Document de travail

Rodrigo Montes, Wilfried Sand-Zantman et Tommaso M. Valletti

vol. 65, n° 3, mars 2019, p. 955–1453

This paper investigates the effects of price discrimination on prices, profits and consumer surplus, when one or more competing firms can use consumers' private information to price discriminate and consumers can pay a privacy cost to avoid it. While a monopolist always benefits from higher privacy...

Article

Daniel L. Chen

vol. 15, n° 1, mars 2019

Legal theorists have suggested that literature stimulates empathy and affects moral judgment and decision-making. I present a model to formalize the potential effects of empathy on third parties. Empathy is modeled as having two components–sympathy (the decision-maker’s reference point about what...

Article

Nicolas Berman, Vincent Rebeyrol et Vincent Vicard

vol. 101, n° 1, mars 2019, p. 91–106

This paper provides direct evidence that learning about demand is an important driver of firms' dynamics. We present a model of Bayesian learning in which firms are uncertain about their idiosyncratic demand in each of the markets they serve, and update their beliefs as noisy information arrives....

Article

Christian Bontemps

vol. 101, n° 1, mars 2019, p. 146–159

This paper considers moment-based tests applied to estimated quantities. We propose a general class of transforms of moments to handle the parameter uncertainty problem. The construction requires only a linear correction that can be implemented in-sample and remains valid for some extended families...

Article