The detection of dangerous road sites is usually performed using empirical methods which focus on observed accident frequencies and/or proportions of accidents with a given feature. The most widely used detection tools have an empirical Bayes (EB) background. The EB approaches rely on the...

This paper develops a methodology to estimate the entire population distributions from bin-aggregated sample data. We do this through the estimation of the parameters of mixtures of distributions that allow for maximal parametric flexibility. The statistical approach we develop enables...

Labour market analysis is an important element to understand the inequality and poverty within a given population. The literature reveals that the informal sector is characterised by a great deal of flexibility and exempt from formal market rigidities but on the other hand, this sector can...

Cet article présente une application expérimentale de la méthode d'estimation des flux d'échanges entre des régions par la minimisation de l'entropie croisée (mesure de Kullback-Leibler). Les flux interrégionaux ont été estimés pour 31 catégories de biens et services, entre trois...

When analyzing subjective expectations, researchers commonly apply (non-)parametric approximations to point identify beliefs. We propose a new take on this type of data that does not impose a functional form on expectations. Using the widely researched example of subjective survival...

In this paper, we compare individual survival curves constructed from objective (actual mortality) and elicited subjective information (probability of survival to a given target age). We develop a methodology to estimate jointly subjective and objective individual- survival curves accounting for...

We show how bounds around preferences parameters can be estimated under various levels of assumptions concerning the beliefs of senders in the investment game. We contrast these bounds with point estimates of the preference parameters obtained using non-incentivized subjective belief data. Our...

This paper studies the application of the simulated method of moments (SMM) for the estimation of nonlinear dynamic stochastic general equilibrium (DSGE) models. Monte Carlo analysis is employed to examine the small-sample properties of SMM in specifications with different curvature. Results...

This paper is concerned with bootstrap hypothesis testing in high dimensional linear regression models. Using a theoretical framework recently introduced by Anatolyev (2012), we show that bootstrap F, LR and LM tests are asymptotically valid even when the numbers of estimated parameters and...

Basket options are among the most popular products of the new generation of exotic options. This attraction is explained by the fact that they can efficiently and simultaneously hedge a wide variety of intrinsically different financial risks. They are flexible enough to include all the risks...