Cette contribution propose un modèle théorique permettant d?identifier les tendances générales dans le mouvement des électeurs volatiles. Notre méthode permet à partir de données décentralisées de compléter les enquêtes d?opinions pour comprendre quelle part du résultat d?un parti...

In the robust statistics literature, a wide variety of models have been developed to cope with outliers in a rather large number of scenarios. Nevertheless, a recurrent problem for the empirical implementation of these estimators is that optimization algorithms generally do not perform well when...

From the literature on decentralization, it appears that the fiscal vertical imbalance (i.e. the dependence of sub-national governments on national government revenues to support their expenditures) is somehow inherent to multi-level governments. Using a stylized model we show that this leads to...

In regression analysis, classical estimations may be excessively influenced by a few atypical observations. We propose a Hausman-type test to balance robustness and efficiency and to check whether a robust method should be implemented. An economic application is presented.

In the presence of outliers in a dataset, a least squares estimation may not be the most adequate choice to get representative results. Indeed estimations could have been excessively infuenced even by a very limited number of atypical observations. In this article, we propose a new Hausman-type...

In the robust statistics literature, a wide variety of models have been devel- oped to cope with outliers in a rather large number of scenarios. Nevertheless, a recurrent problem for the empirical implementation of these estimators is that optimization algorithms generally do not perform well...

The aim of this paper is to test whether electoral systems and human development are linked. Using high-quality data and very simple panel data econometric techniques, we show that electoral systems play a critical role in explaining the difference in the levels of human development between...