This paper extends previous work on the identification of search models in which observed worker productivity is imperfectly observed. In particular, it establishes that these models remain identified even when employment histories are left-censored (i.e. we do not get to follow workers from...

This paper discusses a new methodology to estimate the economic capital by credit risk for a retail portfolio based on the general concepts of copula and dependence measures as well as some core results of the Extreme Value Theory (EVT). The superiority of the proposed approach over the...

In this paper we use two alternative approaches to study the extent of gender wage discrimination in Portugal. Both methods involve the estimation of wage equations for males and females and the Blinder [1973] and Oaxaca [1973] decomposition. However, to take into account possible sample...

Two sources of asymmetric information in health markets are adverse selection where only individuals know their illness probability and their preventive effort to reduce illness probabilities. This effort is not observed by insurers, and thus individuals cannot be adequately compensated for...

Using ARIMA models and entropy, the dynamic evolution of several functions of aggregate income and other attributes of well-being is analyzed for statistical "similarity" in order to determine potentially distinct dimensions in multidimensional analysis of welfare and quality of life in the US....

The purpose of this paper is to study the evolution of the disparities between 138 European regions over the 1980-1995 period. We characterize the regional per capita GDP cross-sectional distribution by means of nonparametric estimations of density functions and we model the growth process as a...

This paper develops a growth model with physical and human capital externalities to- gether with technological interdependence between economies. It leads to a spatial autore- gressive reduced form for the convergence equation characterized by parameter heterogeneity. A locally linear spatial...

We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation. The second method is a constrained local polynomial estimator. Both methods always...

This paper illustrates the use of Kullback-Leibler Information (KLI) measure for assessing the relative quality of two approximations to an unknown distribution from which we ca obtain simple random drawings.

Long-term electricity demand forecasting plays an important role in planning for future generation facilities and transmission augmentation. In a long term context, planners must adopt a probabilistic view of potential peak demand levels, therefore density forecasts (providing estimates of the...