Nonparametric bootstrap tests for neglected nonlinearity in time series regression models∗
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Publication:2744171
DOI10.1080/10485250108832860zbMath1113.62324OpenAlexW2057258217MaRDI QIDQ2744171
Publication date: 19 September 2001
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: http://www.cdedse.org/pdf/work77.pdf
Monte CarloTime seriesGARCHNonlinearityNonparametric testWild bootstrapConditional heteroskedas-ticityConditional moment testFunctional-coefficient modelNaive bootstrap
Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)
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Cites Work
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- Consistent model specification tests
- A consistent test of functional form via nonparametric estimation techniques
- Testing for neglected nonlinearity in time series models. A comparison of neural network methods and alternative tests
- Consistent nonparametric regression. Discussion
- Bootstrap methods: another look at the jackknife
- A simple nonlinear time series model with misleading linear properties
- Consistent hypothesis testing in semiparametric and nonparametric models for econometric time series
- Linearity testing using local polynomial approximation
- Consistent model specification tests for time series econometric models
- A simple consistent bootstrap test for a parametric regression function
- Comparing nonparametric versus parametric regression fits
- A consistent nonparametric test for linearity of \(\text{AR} (p)\) models
- Tests of specification for parametric and semiparametric models
- Multivariate locally weighted least squares regression
- Generalized autoregressive conditional heteroscedasticity
- Jackknife, bootstrap and other resampling methods in regression analysis
- Consistent nonparametric hypothesis tests with an application to Slutsky symmetry
- Testing the Goodness of Fit of a Linear Model Via Nonparametric Regression Techniques
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model
- A Heteroskedasticity Test Robust to Conditional Mean Misspecification
- Central limit theorem for degenerateU-Statistics of Absolutely Regular Processes with Applications to Model Specification Testing
- Nonparametric statistics for testing of linearity and serial independence
- Asymptotic Theory of Integrated Conditional Moment Tests
- THE SIZE DISTORTION OF BOOTSTRAP TESTS
- Functional-Coefficient Autoregressive Models
- Nonparametric Selection of Regressors: The Nonnested Case
- Hypothesis Testing in Semiparametric and Nonparametric Models for Econometric Time Series
- Nonparametric tests of linearity for time series
- Consistent Specification Testing Via Nonparametric Series Regression
- Consistent Model Specification Tests: Omitted Variables and Semiparametric Functional Forms
- The bootstrap and Edgeworth expansion