Most rational expectations models involve equations in which the dependent variable is a function of its lags and its expected future value. We investigate the asymptotic bias of generalized method of moment (GMM) and maximum likelihood (ML) estimators in such models under misspecification. We...

Estimating a forward-looking monetary policy rule by the Generalized Method of Moments (GMM) has become a popular approach since the influential paper by Clarida, Gali, and Gertler (1998). However , an abundant econometric literature underlines to the unappealing small- samples properties of GMM...

The "New Keynesian" Phillips Curve (NKPC) states that inflation has a purely forward-looking dynamics. In this paper, we test whether European and US inflation dynamics can be described by this model. For this purpose, we estimate hybrid Phillips curves, which include both backward and...

Many macroeconomic models (including the NKPC - "New Keynesian" Phillips Curve) involve hybrid equations, in which some variables depend on both their lags and leads. Hybrid models have produced conflicting empirical results: GMM (respectively ML) estimation find the forward- looking component...

We estimate two small macroeconomic models with forward-looking components, for the US and Germany. The models, which include a Phillips curve, an I-S curve and a monetary policy rule, are estimated using the full-information maximum-likelihood procedure. They are shown to have some robustness...

MIMOSA, modèle macroéconomique de l’économie mondiale, construit en commun par le CEPII et l’OFCE, est maintenant réestimé. Le présent article en expose les principales caractéristiques ainsi que quelques propriétés variantielles. Les économies des six plus importants pays...

La croissance européenne s’est redressée en 1997 (2,6 % après 1,7 % en 1996) tandis que les Etats-Unis demeuraient impulsés par une demande intérieure toujours dynamique. L’année 1998 concrétiserait un basculement plus franc de la croissance en faveur des pays européens. Ces derniers...