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  • Search: subject:"distributed lag polynomals"
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Year of publication
Subject
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distributed lag polynomals 3 time aggregation 3 mixed data sampling 2 now-casting 2 Mixed data sampling 1 nowcasting 1
Online availability
All
Free 2 Undetermined 1
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
All
Working Paper 1
Language
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Undetermined 2 English 1
Author
All
Foroni, Claudia 3 Marcellino, Massimiliano 3 Schumacher, Christian 3
Institution
All
C.E.P.R. Discussion Papers 1 Deutsche Bundesbank 1
Published in...
All
CEPR Discussion Papers 1 Discussion Paper Series 1 1 Discussion Paper Series 1: Economic Studies 1
Source
All
RePEc 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
U-MIDAS: MIDAS regressions with unrestricted lag polynomials
Foroni, Claudia; Marcellino, Massimiliano; Schumacher, … - 2011
Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...
Persistent link: https://www.econbiz.de/10010308133
Saved in:
Cover Image
U-MIDAS: MIDAS regressions with unrestricted lag polynomials
Foroni, Claudia; Marcellino, Massimiliano; Schumacher, … - Deutsche Bundesbank - 2011
Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...
Persistent link: https://www.econbiz.de/10009493254
Saved in:
Cover Image
U-MIDAS: MIDAS regressions with unrestricted lag polynomials
Foroni, Claudia; Marcellino, Massimiliano; Schumacher, … - C.E.P.R. Discussion Papers - 2012
Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...
Persistent link: https://www.econbiz.de/10011084496
Saved in:
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