It is now mandatory to report any incident or accident that occurs during the provision of health services and social services in all institutions of the Quebec health care system. The definitions of accident and incident provided by the Act identify the type of event to report. The declaration...

We model the interactions between the management mode and costs of water services in order to compare their performances and pricing. We estimate those models on French panel data. We find that the choice by the local authority depends on the service costs and characteristics. There is no...

We model the interactions between management regimes (municipal vs. delegated) and operating costs of water supply services in order to compare their performance and pricing. We estimate the models from panel data in France. We show that the choice between management regimes at the local...

In this paper, we study the asymptotic distribution of a simple two-stage (Hannan-Rissanen-type) linear estimator for stationary invertible vector autoregressive moving average (VARMA) models in the echelon form representation. General conditions for consistency and asymptotic normality are...

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...

In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...

In this text, we review recent developments in econometrics from the viewpoint of statistical test theory. We first review some basic principles of philosophy of science and statistical theory, emphasizing parsimony and falsifiability as criteria for evaluating models, test theory as a...

This paper studies an out-of-sample statistic for time-series prediction that is analogous to the widely used R2 in-sample statistic. We propose and study methods to estimate the variance of this out-of-sample statistic. We suggest that the out-of-sample statistic is more robust to...