Nous utilisons un modèle LSTVAR (Logistic Smooth transition Vector Auto Regression) pour questionner la présence d’une relation asymétrique entre la variation du prix du pétrole et les rendements de l’indice SP 500. Les tests statistiques nous ont confortés dans l’utilisation du...

According to the environmental Kuznets curve hypothesis, the relationship between per-capita GDP and per-capita pollutant emissions has an inverted-U shape. This implies that, past a certain point, economic growth may actually be profitable for environmental quality. Most studies on this subject...

This paper is concerned with bootstrap hypothesis testing in high dimensional linear regression models. Using a theoretical framework recently introduced by Anatolyev (2012), we show that bootstrap F, LR and LM tests are asymptotically valid even when the numbers of estimated parameters and...

In 2005, a wage subsidy program was established in Québec to encourage low-income individuals, particularly recipients of social assistance, to work, by offering them fiscal relief. We analyse the effect of this program (the Prime au travail) with a microsimulation model which determines the...

Capital markets may be an important tool in the reduction of pollution emissions. Indeed, they provide firms with an incentive to maintain a good environmental record (or at least, a good reputation) in order to maximize the value of their equity shares. Also, efficient capital markets may...

A Monte Carlo investigation shows that the rejection probability of the structural stability test of Andrews (2003) depends on several characteristics of the DGP, one of which is the length of the hypothesized break period. This is analyzed and found to be caused, at least in part, by the fact...

Augmented Dickey-Fuller unit root tests may severely overreject when the DGP is a general linear process. The use of the AR sieve bootstrap, proposed by Park (2002) and Chang and Park (2003), may alleviate this problem. We propose sieve bootstraps based on MA and ARMA approximations. Invariance...

We study the problems of bias correction in the estimation of low order ARMA(p, q) time series models. We introduce a new method to estimate the bias of the parameters of ARMA(p, q) process based on the analytical form of the GLS transformation matrix of Galbraith and Zinde-Walsh (1992). We show...