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  • Search: subject:"Bridge Equation Models"
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Year of publication
Subject
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Big Data 3 Boosting 3 Forecasting 3 LASSO 3 Big data 2 Bridge Equation Models 2 Deutschland 2 Estimation theory 2 Forecasting model 2 Germany 2 Kleinste-Quadrate-Methode 2 Least squares method 2 Partial Least Squares 2 Partial least squares 2 Partielle kleinste Quadrate 2 Principal Components Analysis 2 Prognoseverfahren 2 Schätztheorie 2 Statistical method 2 Statistische Methode 2 Bridge equation models 1 Estimation 1 Principal components analysis 1 Schätzung 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3
Author
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Götz, Thomas B. 3 Knetsch, Thomas A. 3
Published in...
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Bundesbank Discussion Paper 1 Discussion paper 1 International journal of forecasting 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
Google data in bridge equation models for German GDP
Götz, Thomas B.; Knetsch, Thomas A. - 2017
There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...
Persistent link: https://www.econbiz.de/10011667607
Saved in:
Cover Image
Google data in bridge equation models for German GDP
Götz, Thomas B.; Knetsch, Thomas A. - 2017
There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...
Persistent link: https://www.econbiz.de/10011667109
Saved in:
Cover Image
Google data in bridge equation models for German GDP
Götz, Thomas B.; Knetsch, Thomas A. - In: International journal of forecasting 35 (2019) 1, pp. 45-66
Persistent link: https://www.econbiz.de/10012300574
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