This study compares the predictive performance of the conditional forecasting technique against the unconditional technique. The conditional technique consist of taking into account the information available on an endogenous variable over part of the forecast horizon. We develop a Bayesian VAR...

The main objective of this study is to look for the best model for forecasting inflation rate and real growth for each CEMAC country. Using AR, VAR and BVAR models, it is clear from our study that forecasts made from Bayesian models have a higher predictive power than those made by classical...

The 2000-2001 Turkish crisis has often been analysed in the literature without a solid econometric basis. This article presents a linear regression model as well as a logit model that enable us to measure the extent to which economic fundamentals and banking variables can account for the outcome...

La littérature sur l'instabilité macroéconomique couvre un champ extrêmement vaste qui se révèle par le spectre très large de mesures utilisées pour appréhender ce phénomène. Le choix de la mesure de l'instabilité macroéconomique apparait généralement peu discuté sous le...

This paper proposes new bridge equations for the Monthly Index of Business Activity (MIBA) published by the Banque de France. The MIBA is a forecasting tool for the quarterly GDP growth in France both for the current quarter and the next quarter, originally based on the surveys in the industrial...

L'objectif de ce travail consiste à faire ressortir, à côté de la saisonnalité (en partie due au climat), certains indicateurs économiques susceptibles d'expliquer la demande adressée à l'industrie touristique tunisienne: le prix, le revenu et l'offre. Ces différents indicateurs sont...

In this paper, the author describes reduced-form linear and non-linear econometric models developed to forecast and analyze quarterly data on output growth in the Canadian manufacturing sector from 1981 to 2003. Empirical evidence reported in the paper suggests that economic activity in the...

L’ISMA est un des principaux outils de diagnostic conjoncturel de la Banque de France. Publié chaque mois, il estime la croissance du PIB français pour le prochain trimestre, en se basant sur les données d’enquêtes de la Banque de France.

Short-term analysts use many tools to forecast economic activity. Among these tools, estimating and, then, simulating univariate models is very common. Most of the time the series used for the variable of interest as well as for the regressors are last available releases. Except for the latter...

For a few years the revenue services of the DGDA have increased in a spectacular way in Democratic Republic of Congo. Thus, the objective of this paper is to empirically examine the evolution of these monthly receipts of 1982 to 2005. The Heteroskedastic Conditional Autoregressive model (ARCH)...