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  • Search: subject:"Autoregressive time series"
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Year of publication
Subject
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Autoregressive time series 5 Forecasting 2 GMM 2 Net Asset Value 2 New Pension Scheme 2 Panel data 2 Posterior odds ratio 2 Stationarity 2 Unit root 2 VAR model 2 control chart 2 invariance principle 2 least squares 2 periodic autoregressive time series models 2 periodic vector autoregressive time series model 2 resampling 2 unit root 2 Autoregressive Time-series 1 Business 1 Consistent Covariance-matrix 1 Einheitswurzeltest 1 Finance 1 Gmm 1 Heteroskedasticity 1 Market 1 Mean Reversion 1 Panel 1 Panel study 1 Parameter Estimation 1 Regression 1 Short-rate Model 1 Small-sample Properties 1 Term Interest-rate 1 Theorie 1 Theory 1 Time series analysis 1 Unit root test 1 Unit-root 1 Zeitreihenanalyse 1 acoustics 1
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Online availability
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Free 11
Type of publication
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Book / Working Paper 9 Article 2
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
Undetermined 6 English 5
Author
All
Afifa, Umme 2 Chaturvedi, Anoop 2 Franses, Ph.H.B.F. 2 Franses, Philip Hans 2 Kuma, Jitendra 2 Steland, Ansgar 2 Bailes, Freya 1 Dean, Roger T. 1 Faff, R. 1 G. P. Szegoe 1 Gao, Jiti 1 Gray, P. 1 Kleibergen, F.R. 1 Kleibergen, Frank 1 Paap, R. 1 Paap, Richard 1 Saart, Patrick 1
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Institution
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Erasmus University Rotterdam, Econometric Institute 2 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 2 Department of Econometrics and Business Statistics, Monash Business School 1 Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
All
Econometric Institute Report 2 Econometric Institute Research Papers 2 EERI Research Paper Series 1 EERI research paper series 1 Monash Econometrics and Business Statistics Working Papers 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
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Source
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RePEc 6 BASE 2 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 10 of 11
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Bayesian unit root test for panel data
Kuma, Jitendra; Afifa, Umme; Chaturvedi, Anoop - 2016
The present paper studies the panel data auto regressive (PAR) time series model for testing the unit root hypothesis. The posterior odds ratio (POR) is derived under appropriate prior assumptions and then empirical analysis is carried out for testing the unit root hypothesis of Net Asset Value...
Persistent link: https://www.econbiz.de/10011853371
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Cover Image
Bayesian unit root test for panel data
Kuma, Jitendra; Chaturvedi, Anoop; Afifa, Umme - 2016
The present paper studies the panel data auto regressive (PAR) time series model for testing the unit root hypothesis. The posterior odds ratio (POR) is derived under appropriate prior assumptions and then empirical analysis is carried out for testing the unit root hypothesis of Net Asset Value...
Persistent link: https://www.econbiz.de/10011784564
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Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review
Saart, Patrick; Gao, Jiti - Department of Econometrics and Business Statistics, … - 2012
Time series analysis is a tremendous research area in statistics and econometrics. As remarked in a review by Howell Tong in 2001, for about 100 years up to 2001 Biometrika (alone) published over 400 papers on the subject. [Tong (2001)] Furthermore, in the review, Howell Tong is able break down...
Persistent link: https://www.econbiz.de/10010860400
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Time Series Analysis as a Method to Examine Acoustical Influences on Real-time Perception of Music
Dean, Roger T.; Bailes, Freya - 2010
extensive application of autoregressive Time Series Analysis (TSA). TSA offers a large suite of techniques for modeling …
Persistent link: https://www.econbiz.de/10009475164
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A bootstrap view on dickey-fuller control charts for AR(1) series
Steland, Ansgar - 2006
Dickey-Fuller control charts aim at monitoring a random walk until a given time horizon to detect stationarity as early as possible. That problem appears in many fields, especially in econometrics and the analysis of economic equilibria. To improve upon asymptotic control limits (critical...
Persistent link: https://www.econbiz.de/10010296705
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On the estimation and comparison of short-rate models using the generalised method of moments
Faff, R.; Gray, P. - 2006
Subsequent to the influential paper of [Chan, K.C., Karolyi, G.A., Longstaff, F.A., Sanders, A.B., 1992. An empirical comparison of alternative models of the short-term interest rate. Journal of Finance 47, 1209-1227], the generalised method of moments (GMM) has been a popular technique for...
Persistent link: https://www.econbiz.de/10009448412
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A bootstrap view on dickey-fuller control charts for AR(1) series
Steland, Ansgar - Institut für Wirtschafts- und Sozialstatistik, … - 2006
Dickey-Fuller control charts aim at monitoring a random walk until a given time horizon to detect stationarity as early as possible. That problem appears in many fields, especially in econometrics and the analysis of economic equilibria. To improve upon asymptotic control limits (critical...
Persistent link: https://www.econbiz.de/10009216888
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Forecasting with periodic autoregressive time series models
Franses, Philip Hans; Paap, Richard - Faculteit der Economische Wetenschappen, Erasmus … - 1999
This paper is concerned with forecasting univariate seasonal time series data using periodic autoregressive models. We show how one should account for unit roots and deterministic terms when generating out-of-sample forecasts. We illustrate the models for various quarterly UK consumption series.
Persistent link: https://www.econbiz.de/10010731727
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Cointegration in a periodic vector autoregression
Kleibergen, Frank; Franses, Philip Hans - Faculteit der Economische Wetenschappen, Erasmus … - 1999
We consider representation, estimation and inference on cointegration in a (PVAR). We show that cointegration amounts to a restriction on a product of parameter matrices. We therefore use GMM to construct estimators of the long-run (cointegration) parameters and to obtain test statistics for...
Persistent link: https://www.econbiz.de/10010837996
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Forecasting with periodic autoregressive time series models
Franses, Ph.H.B.F.; Paap, R. - Erasmus University Rotterdam, Econometric Institute - 1999
This paper is concerned with forecasting univariate seasonal time series data using periodic autoregressive models. We show how one should account for unit roots and deterministic terms when generating out-of-sample forecasts. We illustrate the models for various quarterly UK consumption series.
Persistent link: https://www.econbiz.de/10005696122
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