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  • Search: subject:"nonlinearity testing"
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Year of publication
Subject
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Wald tests 3 nonlinearity testing 3 stationarity tests 3 unit root tests 3 Nonlinearity testing 2 ARCH test 1 DSGE model 1 Estimation 1 Estimation theory 1 Hauptkomponentenanalyse 1 Markov-switching 1 Monte Carlo method 1 Nichtlineare Regression 1 Nonlinear regression 1 Principal component analysis 1 Schätztheorie 1 Schätzung 1 Statistical test 1 Statistischer Test 1 TSAY test 1 Time series analysis 1 USA 1 United States 1 VAR model 1 VAR models 1 VAR-Modell 1 Zeitreihenanalyse 1 principal component analysis 1 principal components 1
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Online availability
All
Free 1 Undetermined 1
Type of publication
All
Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 3 Undetermined 2
Author
All
Xiao, Bin 3 Harvey, David I. 2 Leybourne, Stephen J. 2 Harvey, David 1 Leybourne, Stephen 1 Vavra, Marian 1 Vávra, Marián 1
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Institution
All
Granger Centre for Time Series Econometrics, School of Economics 2 Národná Banka Slovenska 1
Published in...
All
Discussion Papers / Granger Centre for Time Series Econometrics, School of Economics 2 Applied economics letters 1 Studies in Nonlinear Dynamics & Econometrics 1 Working and Discussion Papers 1
Source
All
RePEc 4 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Empirical evidence of joint nonlinearity in economic area and US economic variables using two modified multivariate nonlinearity tests
Vávra, Marián - In: Applied economics letters 22 (2015) 13/15, pp. 1094-1099
Persistent link: https://www.econbiz.de/10011312188
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Testing for linear and Markov switching DSGE models
Vavra, Marian - Národná Banka Slovenska - 2013
This paper addresses the issue related to testing for non-linearity in economic models using new principal component based multivariate non-linearity tests. Monte Carlo results suggest that the new multivariate tests have good size and power properties even in small samples usually available in...
Persistent link: https://www.econbiz.de/10010734233
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A Powerful Test for Linearity When the Order of Integration is Unknown
Harvey, David; Leybourne, Stephen; Xiao, Bin - In: Studies in Nonlinear Dynamics & Econometrics 12 (2008) 3, pp. 1582-1582
In this paper we propose a test of the null hypothesis of time series linearity against a nonlinear alternative, when uncertainty exists as to whether or not the series contains a unit root. We provide a test statistic that has the same limiting null critical values regardless of whether the...
Persistent link: https://www.econbiz.de/10005246255
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A powerful test for linearity when the order of integration is unknown
Harvey, David I.; Leybourne, Stephen J.; Xiao, Bin - Granger Centre for Time Series Econometrics, School of … - 2007
In this paper we propose a test of the null hypothesis of time series linearity against a nonlinear alternative, when uncertainty exists as to whether or not the series contains a unit root. We provide a test statistic that has the same limiting null critical values regardless of whether the...
Persistent link: https://www.econbiz.de/10008497829
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A powerful test for linearity when the order of integration is unknown [Revised to become No. 07/06 above]
Harvey, David I.; Leybourne, Stephen J.; Xiao, Bin - Granger Centre for Time Series Econometrics, School of … - 2007
In this paper we propose a test of the null hypothesis of time series linearity against a nonlinear alternative, when uncertainty exists as to whether or not the series contains a unit root. We provide a test statistic that has the same limiting null critical values regardless of whether the...
Persistent link: https://www.econbiz.de/10008497832
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