[spa] Veinte años de previsiones macroeconómicas : un anlisis a partir de datos Franceses, . por Didier Borowski, Carine Bouthevillain, Catherine Doz, Pierre Malgrange y Pierre Morin.. . En el presente artículo se examina el grado de precisión que han alcanzado las previsiones...

Is maximum likelihood suitable for factor models in large cross-sections of time series? We answer this question from both an asymptotic and an empirical perspective. We show that estimates of the common factors based on maximum likelihood are consistent for the size of the cross-section (n) and...

This paper shows consistency of a two step estimator of the parameters of a dynamic approximate factor model when the panel of time series is large (n large). In the first step, the parameters are first estimated from an OLS on principal components. In the second step, the factors are estimated...

This paper considers quasi-maximum likelihood estimations of a dynamic approximate factor model when the panel of time series is large. Maximum likelihood is analyzed under different sources of misspecification: omitted serial correlation of the observations and cross-sectional correlation of...

This paper provides a semiparametric framework for modelling multivariate conditional heteroskedasticity. First, we show that stochastic volatility factor models with possibly cross-correlated disturbances cannot be identified from returns conditional variance structure only, except when strong...

We suggest a two step procedure to estimate a dynamic factor model. We show that, in a stationary dynamic framework, static factor analysis leads to consistent estimators and allows to build an asymptotic test of the relevant number of factors. Once this number is set, the model can be estimated...

This paper presents a study of the finite sample properties of the pseudo-maximum likelihood estimators in the case of a Poisson model. The simulations have been realized with control variates, a method which has considerably improved the accuracy of the results obtained. The negative binomial...

The official institutions (NBER, OECD, CEPR and others) provide business cycle chronology with a lag from 3 months up to several years. Markov-Switching Dynamic Factor Model (MS-DFM) allows to produce the turning points more timely. The Kalman filter estimates of the model can be obtained in one...

This paper shows consistency of a two step estimation of the factors in a dynamic approximate factor model when the panel of time series is large ( large). In the first step, the parameters of the model are estimated from an OLS on principal components. In the second step, the factors are...

This paper shows consistency of a two step estimation of the factors in a dynamic approximate factor model when the panel of time series is large ( large). In the first step, the parameters of the model are estimated from an OLS on principal components. In the second step, the factors are...