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  • Search: subject:"large factor models"
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Year of publication
Subject
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large factor models 6 nowcasting 5 Faktorenanalyse 4 MIDAS 4 missing values 4 mixed-frequency data 4 Factor analysis 3 Time series analysis 3 Zeitreihenanalyse 3 Estimation 2 Large factor models 2 Prognoseverfahren 2 Schätzung 2 Theorie 2 Theory 2 business cycle 2 Big Data 1 Big data 1 Bruttoinlandsprodukt 1 Deutschland 1 Estimation theory 1 Factor loadings 1 Forecasting model 1 Frühindikator 1 Gross domestic product 1 Hauptkomponentenanalyse 1 Konjunkturprognose 1 Kurzfristprognose 1 Leading indicator 1 Marčenko-Pastur law 1 Monetary policy 1 People's Bank of China 1 Principal component analysis 1 Schätztheorie 1 Sozialprodukt 1 Structural break 1 Strukturbruch 1 asymptotic distribution 1 big data 1 high frequency 1
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Online availability
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Free 5 Undetermined 3
Type of publication
All
Book / Working Paper 6 Article 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 1
Language
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English 6 Undetermined 2
Author
All
Marcellino, Massimiliano 4 Schumacher, Christian 4 Chen, Liang 1 He, Dong 1 Jardet, Caroline 1 Meunier, Baptiste 1 Onatski, Alexei 1 Pauwels, Laurent 1
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Institution
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C.E.P.R. Discussion Papers 1 Department of Economics, European University Institute 1 Deutsche Bundesbank 1 Hong Kong Monetary Authority 1
Published in...
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CEPR Discussion Papers 1 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 Economics letters 1 Journal of forecasting 1 Working Papers / Hong Kong Monetary Authority 1
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Source
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RePEc 4 ECONIS (ZBW) 3 EconStor 1
Showing 1 - 8 of 8
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Nowcasting world GDP growth with high-frequency data
Jardet, Caroline; Meunier, Baptiste - In: Journal of forecasting 41 (2022) 6, pp. 1181-1200
Persistent link: https://www.econbiz.de/10013465691
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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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Estimating the common break date in large factor models
Chen, Liang - In: Economics letters 131 (2015), pp. 70-74
Persistent link: https://www.econbiz.de/10011422650
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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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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
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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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Factor-MIDAS for now- and forecasting with ragged-edge data: A model comparison for German GDP
Marcellino, Massimiliano; Schumacher, Christian - C.E.P.R. Discussion Papers - 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/10005124208
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