Non-parametric methods have been empirically proved to be of great interest in the statistical literature in order to forecast stationary time series, but very few applications have been proposed in the econometrics literature. In this paper, our aim is to test whether non-parametric statistical...

Testing the fractionally integrated order of seasonal and non-seasonal unit roots is quite important for the economic and financial time series modelling. In this paper, Robinson test (1994) is applied to various well-known long memory models. Via Monte Carlo experiments, we study and compare...

Business surveys are an important element in the analysis of the short-term economic situation because of the timeliness and nature of the information they convey. Especially, surveys are often involved in econometric models in order to provide an early assessment of the current state of the...

Opinion surveys are an important element in the analysis of the short-term economic situation because of the timeliness and nature of the information they convey. The aim of this article is to propose a procedure to nowcast in real-time the fluctuations of the industrial production indices (IPI)...

This paper develops a new monthly World Trade Leading Indicator (WTLI) that relies on nonparametric and parametric approaches. Compared to the CPB World Trade Monitor’s benchmark indicator for global trade the WTLI captures turning points in global trade with an average lead between 2 and...

Following the Great Recession, econometric models that better account for un certainty have gained increased attention, and an increasing number of works evaluate the effects of uncertainty shocks. In this paper, we evaluate the impact of high-frequency uncertainty shocks on a set of...

The debate on the forecasting ability of non-linear models has a long history, and the Great Recession episode provides us with an interesting opportunity for a reassessment of the forecasting performance of several classes of non-linear models. We conduct an extensive analysis over a large...

Progresses in fiscal consolidation programs are often expressed in cyclically-adjusted terms, meaning that business cycles have to be accurately estimated. In this paper, we put forward a parametric framework enabling to assess business cycles, especially at the end of recession periods by...

We investigate the relationship between employment and GDP in the United States. We disentangle trend and cyclical employment components by estimating a non-linear smooth transition error-correction model that simultaneously accounts for long-term relationships between growth and employment and...

Cet article étudie la relation entre l’emploi et le PIB aux Etats Unis. Nous distinguons entre composantes cyclique et permanente de l’emploi via l’estimation d’une loi d’Okun non linéaire basée sur un modèle à correction d’erreur à transition lisse tenant compte simultanément...