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Browsing Department of Economics (ECO) by Author "KAPETANIOS, George"
Now showing items 1-8 of 8
Title:Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2011Type of Publication:ArticleAbstract:The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we propose three alternative reduced rank forecasting models and compare their predictive performance for US ...
Title:Factor-GMM Estimation with Large Sets of Possibly Weak Instruments
Author(s):KAPETANIOS, George; MARCELLINO, MassimilianoDate:2010-01-01Type of Publication:ArticleAbstract:The use of factor analysis for instrumental variable estimation when the number of instruments tends to infinity is analysed. In particular, the focus is on situations where many weak instruments exist and/or the factor ...
Title:Cross-sectional Averaging and Instrumental Variable Estimation with Many Weak Instruments
Author(s):KAPETANIOS, George; MARCELLINO, MassimilianoDate:2010Type of Publication:ArticleAbstract:The present paper suggests a new way to carry out IV estimation with many instruments. Our suggestion is to cross-sectionally average the instruments and use these averages as instruments. We provide a theoretical and Monte ...
Title:Forecasting Government Bond Yields with Large Bayesian VARs
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2010Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the information contained in a large panel of yields. In particular, we use a large Bayesian Vector ...
Title:A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions
Author(s):KAPETANIOS, George; MARCELLINO, MassimilianoDate:2009-01-01Type of Publication:ArticleAbstract:The estimation of dynamic factor models for large sets of variables has attracted considerable attention recently, because of the increased availability of large data sets. In this article we propose a new parametric ...
Title:Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2009Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we propose three alternative reduced rank forecasting models and compare their predictive performance for US ...
Title:Forecasting Exchange Rates with a Large Bayesian VAR
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2009Type of Publication:ArticleAbstract:Models based on economic theory have serious problems forecasting exchange rates better than simple univariate driftless random walk models, especially at short horizons. Multivariate time series models suffer from the ...
Title:Forecasting Exchange Rates with a Large Bayesian VAR
Author(s):CARRIERO, Andrea; KAPETANIOS, George; MARCELLINO, MassimilianoDate:2008Type of Publication:Working PaperSeries/Report no.:EUI ECOAbstract:Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate driftless random walk models, especially at short horizons. Multivariate time series models suffer from the ...