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  • Search: subject:"large factor models"
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Year of publication
Subject
All
large factor models 4 MIDAS 3 missing values 3 mixed-frequency data 3 nowcasting 3 Faktorenanalyse 2 Deutschland 1 Estimation theory 1 Factor analysis 1 Hauptkomponentenanalyse 1 Konjunkturprognose 1 Kurzfristprognose 1 Large factor models 1 Marčenko-Pastur law 1 Monetary policy 1 People's Bank of China 1 Principal component analysis 1 Prognoseverfahren 1 Schätztheorie 1 Sozialprodukt 1 Time series analysis 1 Zeitreihenanalyse 1 asymptotic distribution 1 business cycle 1 inconsistency 1 phase transition 1 principal components 1 qualitative response models 1 weak factors 1
more ... less ...
Online availability
All
Free 5
Type of publication
All
Book / Working Paper 5
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
All
English 4 Undetermined 1
Author
All
Marcellino, Massimiliano 3 Schumacher, Christian 3 He, Dong 1 Onatski, Alexei 1 Pauwels, Laurent 1
Institution
All
Department of Economics, European University Institute 1 Deutsche Bundesbank 1 Hong Kong Monetary Authority 1
Published in...
All
Cambridge working papers in economics 1 Cambridge-INET working papers 1 Discussion Paper Series 1 1 Discussion Paper Series 1: Economic Studies 1 Economics Working Papers / Department of Economics, European University Institute 1 Working Papers / Hong Kong Monetary Authority 1
Source
All
RePEc 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
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Asymptotics of the principal components estimator of large factor models with weak factors and i.i.d. Gaussian noise
Onatski, Alexei - 2018 - This draft: August, 2007
Persistent link: https://www.econbiz.de/10012667616
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What Prompts the People's Bank of China to Change its Monetary Policy Stance? Evidence from a Discrete Choice Model
He, Dong; Pauwels, Laurent - Hong Kong Monetary Authority - 2008
In this paper, we model the policy stance of the People¡¦s Bank of China (PBoC) as a latent variable, and the discrete changes in the reserve requirement ratio, policy interest rates, and the scale of open market operations are taken as signals of movement of this latent variable. We run a...
Persistent link: https://www.econbiz.de/10005736330
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Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP
Marcellino, Massimiliano; Schumacher, Christian - Department of Economics, European University Institute - 2008
This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...
Persistent link: https://www.econbiz.de/10005557690
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Cover Image
Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP
Marcellino, Massimiliano; Schumacher, Christian - 2007
This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...
Persistent link: https://www.econbiz.de/10010295871
Saved in:
Cover Image
Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP
Marcellino, Massimiliano; Schumacher, Christian - Deutsche Bundesbank - 2007
This paper compares different ways to estimate the current state of the economy using factor models that can handle unbalanced datasets. Due to the different release lags of business cycle indicators, data unbalancedness often emerges at the end of multivariate samples, which is sometimes...
Persistent link: https://www.econbiz.de/10005083220
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