Testing the adequacy of smooth transition autoregressive models
DOI10.1016/0304-4076(95)01751-8zbMath0864.62058OpenAlexW2068882226MaRDI QIDQ1126494
Timo Teräsvirta, Øyvind Eitrheim
Publication date: 26 June 1997
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(95)01751-8
estimationsimulationevaluationspecificationnonlinear time series modelsLagrange multiplier testsmall samplesSTAR modelshypothesis of no error autocorrelationhypothesis of no remaining nonlinearityparameter constancyresidual nonlinearity test
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric hypothesis testing (62F03)
Related Items (41)
Cites Work
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- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative tests
- On conditional least squares estimation for stochastic processes
- Testing the constancy of regression parameters against continuous structural change
- Misspecification tests and their uses in econometrics
- Testing linearity against smooth transition autoregressive models
- On a measure of lack of fit in time series models
- Nonparametric tests of linearity for time series
- Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
- Estimating the transition between two intersecting straight lines
- Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems
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