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  • Search: subject:"Fat Data"
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Year of publication
Subject
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fat data 7 TVP-FAVAR 5 economic policy uncertainty 4 Big Data 3 EU countries 3 EU-Staaten 3 Economic policy 3 European Monetary Union 3 Risiko 3 Risk 3 Wirtschaftspolitik 3 model change 3 variable selection 3 Analytics 3.0 2 Big data 2 Digital Dragons 2 Euro area 2 Eurozone 2 Fat Data 2 Forecasting model 2 ICT Internationalisation Internet of Things 2 Machine-to-Machine communication 2 Microlevel Analysis 2 Phillips Curve 2 Phillips curve 2 Policy 3.0 2 Prognoseverfahren 2 R&D 2 USA 2 United States 2 hierarchical prior 2 hyperparameter 2 Accounting 1 Artificial intelligence 1 Bruttoinlandsprodukt 1 Economic growth 1 Economic policy uncertainty 1 Elastic Net 1 Estimation 1 Fat data 1
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Online availability
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Free 10 Undetermined 1
Type of publication
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Book / Working Paper 9 Article 2
Type of publication (narrower categories)
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Working Paper 7 Graue Literatur 5 Non-commercial literature 5 Arbeitspapier 4 Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 Conference Paper 1 Conference paper 1 Konferenzbeitrag 1
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Language
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English 11
Author
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Prüser, Jan 8 Schlösser, Alexander 5 Simon, Jean Paul 2 Datar, Srikant M. 1 De Prato, Giuditta 1 Jain, Apurv 1 Wang, Charles C. Y. 1 Zhang, Siyu 1 de Prato, Giuditta 1
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Published in...
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Ruhr Economic Papers 3 Ruhr economic papers 3 26th European Regional Conference of the International Telecommunications Society (ITS): "What Next for European Telecommunications?", Madrid, Spain, 24th-27th June, 2015 1 Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria 1 Journal of Forecasting 1 Working papers / Harvard Business School, Division of Research 1
Source
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ECONIS (ZBW) 6 EconStor 5
Showing 1 - 10 of 11
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Forecasting US inflation using Markov dimension switching
Prüser, Jan - In: Journal of Forecasting 40 (2021) 3, pp. 481-499
This study considers Bayesian variable selection in the Phillips curve context by using the Bernoulli approach of Korobilis (Journal of Applied Econometrics, 2013, 28(2), 204–230). The Bernoulli model, however, is unable to account for model change over time, which is important if the set of...
Persistent link: https://www.econbiz.de/10012428896
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Is accounting useful for forecasting gdp growth? : a machine learning perspective
Datar, Srikant M.; Jain, Apurv; Wang, Charles C. Y.; … - 2021
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables---outnumbering the total time-series...
Persistent link: https://www.econbiz.de/10012586393
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On the time-varying effects of economic policy uncertainty on the US economy
Prüser, Jan; Schlösser, Alexander - 2018
We study the time-varying impact of Economic Policy Uncertainty (EPU) on the US Economy by using a VAR with time-varying coefficients. The coefficients are allowed to evolve gradually over time which allows us to discover structural changes without imposing them a priori. We find three different...
Persistent link: https://www.econbiz.de/10011890105
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On the time-varying effects of economic policy uncertainty on the US economy
Prüser, Jan; Schlösser, Alexander - 2018
We study the time-varying impact of Economic Policy Uncertainty (EPU) on the US Economy by using a VAR with time-varying coefficients. The coefficients are allowed to evolve gradually over time which allows us to discover structural changes without imposing them a priori. We find three different...
Persistent link: https://www.econbiz.de/10011888261
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The effects of economic policy uncertainty on European economies: Evidence from a TVP-FAVAR
Prüser, Jan; Schlösser, Alexander - 2017
Recent events such as the financial and sovereign debt crisis have triggered an increase in European Economic Policy Uncertainty (EPU). We use a TVP-FAVAR model with hierarchical priors on the hyperparameters to investigate the effect of EPU on a wide range of macroeconomic variables for eleven...
Persistent link: https://www.econbiz.de/10011701315
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Forecasting US inflation using Markov dimension switching
Prüser, Jan - 2017
This study considers Bayesian variable selection in the Phillips curve context by using the Bernoulli approach of Korobilis (2013a). The Bernoulli model, however, is unable to account for model change over time, which is important if the set of relevant predictors changes over time. To tackle...
Persistent link: https://www.econbiz.de/10011722809
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Cover Image
Forecasting US inflation using Markov dimension switching
Prüser, Jan - 2017
This study considers Bayesian variable selection in the Phillips curve context by using the Bernoulli approach of Korobilis (2013a). The Bernoulli model, however, is unable to account for model change over time, which is important if the set of relevant predictors changes over time. To tackle...
Persistent link: https://www.econbiz.de/10011720713
Saved in:
Cover Image
The effects of economic policy uncertainty on European economies : evidence from a TVP-FAVAR
Prüser, Jan; Schlösser, Alexander - 2017
Recent events such as the financial and sovereign debt crisis have triggered an increase in European Economic Policy Uncertainty (EPU). We use a TVP-FAVAR model with hierarchical priors on the hyperparameters to investigate the effect of EPU on a wide range of macroeconomic variables for eleven...
Persistent link: https://www.econbiz.de/10011700808
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The effects of economic policy uncertainty on European economies : evidence from a TVP-FAVAR
Prüser, Jan; Schlösser, Alexander - In: Empirical economics : a journal of the Institute for … 58 (2020) 6, pp. 2889-2910
Persistent link: https://www.econbiz.de/10012257371
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Is data really the new “oil” of the 21st century or just another snake oil? Looking at uses and users (private/public)
de Prato, Giuditta; Simon, Jean Paul - 2015
The best “guestimates” of the total amount of data in the world suggest that from 1987 to 2007 the total amount of analogue and digital data in the world grew from 3 billion gigabytes to 300 billion gigabytes. The so-called data explosion is driven by the combination of exponentially...
Persistent link: https://www.econbiz.de/10011421604
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