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...

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...

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...

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...

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...

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...

We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation error covariance matrix. Empirical...

The technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] provides an attractive method of building exact tests from statistics whose finite sample distribution is intractable but can be simulated (provided it does not involve nuisance parameters). We extend this method in two ways:...

This paper presents and assesses a procedure to estimate conventional parameters characterizing fluctuations at the business cycle frequency, when the economic agents’ information set is superior to the econometrician’s one. Specifically, we first generalize the conditions under which the...