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  • Search: subject:"Multi-step forecasts"
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Year of publication
Subject
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multi-step forecasts 3 Economic forecast 2 Forecast 2 Forecasting model 2 Out-of sample 2 Prognose 2 Prognoseverfahren 2 Wirtschaftsprognose 2 direct multi-step forecasts 2 fixed regressors bootstrap. 2 forecast comparison 2 money demand 2 multi-model comparison 2 point-forecast evaluation 2 predictive ability 2 risk 2 uncertainty 2 Bevölkerungsprognose 1 Comparison 1 Equal accuracy 1 Estimation 1 Geldmenge 1 Geldnachfrage 1 Granger causality 1 Granger-Kausalitaet 1 Impuls-Antwort-Analyse 1 Mehr-Schritt-Prognosen 1 Modellierung 1 Money demand 1 Money supply 1 Multi-step forecasts 1 Point forecasts 1 Population forecasting 1 Prediction 1 Risiko 1 Risk 1 Sampling 1 Schätzung 1 Scientific modelling 1 Stichprobenerhebung 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Book / Working Paper 5 Article 1
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Thesis 1
Language
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English 5 Undetermined 1
Author
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Granziera, Eleonora 2 Hubrich, Kirstin 2 Moon, Hyungsik Roger 2 Tarassow, Artur 2 Burda, Maike M. 1 Clark, Todd 1 Härdle, Wolfgang 1 Lütkepohl, Helmut 1 McCracken, Michael 1
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Institution
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European Central Bank 1
Published in...
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DEP (Socioeconomics) Discussion Papers - Macroeconomics and Finance Series 1 DEP (Socioeconomics) discussion papers : macroeconomics and finance series 1 ECB Working Paper 1 Handbook of economic forecasting : Volume 2, Part B 1 Working Paper Series / European Central Bank 1
Source
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ECONIS (ZBW) 2 EconStor 2 BASE 1 RePEc 1
Showing 1 - 6 of 6
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Forecasting growth of U.S. aggregate and household-sector M2 after 2000 using economic uncertainty measures
Tarassow, Artur - 2017
This paper evaluates the predictive out-of-sample forecasting properties of six different economic uncertainty variables for both growth in aggregate M2 and growth in household-sector M2 in the U.S. using data between 1971m1 and 2014m12. The core contention is that economic uncertainty improves...
Persistent link: https://www.econbiz.de/10011985265
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Forecasting growth of U.S. aggregate and household-sector M2 after 2000 using economic uncertainty measures
Tarassow, Artur - 2017
This paper evaluates the predictive out-of-sample forecasting properties of six different economic uncertainty variables for both growth in aggregate M2 and growth in household-sector M2 in the U.S. using data between 1971m1 and 2014m12. The core contention is that economic uncertainty improves...
Persistent link: https://www.econbiz.de/10011713871
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A predictability test for a small number of nested models
Granziera, Eleonora; Hubrich, Kirstin; Moon, Hyungsik Roger - 2013
In this paper we introduce Quasi Likelihood Ratio tests for one sided multivariate hypotheses to evaluate the null that a parsimonious model performs equally well as a small number of models which nest the benchmark. We show that the limiting distributions of the test statistics are non...
Persistent link: https://www.econbiz.de/10011605625
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A predictability test for a small number of nested models
Granziera, Eleonora; Hubrich, Kirstin; Moon, Hyungsik Roger - European Central Bank - 2013
In this paper we introduce Quasi Likelihood Ratio tests for one sided multivariate hypotheses to evaluate the null that a parsimonious model performs equally well as a small number of models which nest the benchmark. We show that the limiting distributions of the test statistics are non...
Persistent link: https://www.econbiz.de/10010693500
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Chapter 20. Advances in Forecast Evaluation
Clark, Todd; McCracken, Michael - In: Handbook of economic forecasting : Volume 2, Part B, (pp. 1107-1201). 2013
multi-step forecasts can be improved with judicious choice of heteroskedasticity-and-autocorrelation estimator (it can); and …
Persistent link: https://www.econbiz.de/10014025228
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Testing for causality with Wald tests under nonregular conditions
Burda, Maike M. - 2001
Das Kausalitaetskonzept von Granger und die Impuls-Antwort-Analyse sind zwei Konzepte, die haeufig verwendet werden, um kausale Beziehungen zwischen zwei Variablen in vektorautoregressiven (VAR) Modellen zu untersuchen. Wenn das VAR Modell mehr als zwei Variablen umfasst, besteht eine...
Persistent link: https://www.econbiz.de/10009467094
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