We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on...

This paper illustrates the usefulness of resampling based methods in the context of multiple (simultaneous) tests, with emphasis on econometric applications. Economic theory often suggests joint (or simultaneous) hypotheses on econometric models; consequently, the problem of evaluating joint...

The objective of this study is to evaluate the robustness of the missing data management method, called multiple imputation, in the series of secondary data in social sciences. We use a simulation using data observed to see the scope of the multiple imputation method. Results show a close...

Stochastic volatility models, aka SVOL, are more difficult to estimate than standard time-varying volatility models (ARCH). Advances in the literature now offer well tested estimators for a basic univariate SVOL model. However, the basic model is too restrictive for many economic and finance...

We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour and Renault (1998, Econometrica). We study in detail the case of VAR models and we propose linear methods based on running vector autoregressions at different horizons. While the hypotheses...

This study aims to empirically analyze the relationship between patent and economic growth, adopting the VAR approach. Indeed, in order to determine whether, in the context of the Tunisian economy and in the period from 1975 to 2010, the development of technological innovation promotes economic...

The excess liquidity of commercial banks is very often mentioned in the CEMAC as one of the limits of monetary policy implementation by BEAC. In this paper, we tried to address excess reserves in the CEMAC banking system looking from the point of view of commercial banks. Indeed, commercial...

The objective of this work is to evaluate and explain technical efficiencies of Banks in CEMAC zone. We use dynamic non parametric approach to estimate efficiencies scores and non parametric regression to explain inefficiencies. Our estimates shows that credits react positively to deposits but...

This paper proposes a new nonparametric test for conditional independence, which is based on the comparison of Bernstein copula densities using the Hellinger distance. The test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in...

We use a multivariate hazard model to analyse the ratification behaviour of ILO conventions by developing countries. The model accounts for two random effects: one at the country level, the other at the convention level. After investigating identification, we use a semi-parametric Bayesian...