A CONSISTENT TEST FOR CONDITIONAL HETEROSKEDASTICITY IN TIME-SERIES REGRESSION MODELS
From MaRDI portal
Publication:2716439
DOI10.1017/S0266466601171069zbMath0976.62087MaRDI QIDQ2716439
Publication date: 8 January 2002
Published in: Econometric Theory (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of parametric tests (62F05)
Related Items
Pairwise distance-based heteroscedasticity test for regressions ⋮ A nonparametric measure of heteroskedasticity ⋮ Kernel-based testing with skewed and heavy-tailed data: evidence from a nonparametric test for heteroskedasticity ⋮ Tests for changing mean with monotonic power ⋮ A CONSISTENT NONPARAMETRIC TEST FOR CAUSALITY IN QUANTILE ⋮ A new test for heteroscedasticity in single-index models ⋮ Unnamed Item ⋮ Statistic inference for a single-index ARCH-M model ⋮ Distance-covariance-based tests for heteroscedasticity in nonlinear regressions ⋮ A NONPARAMETRIC GOODNESS-OF-FIT-BASED TEST FOR CONDITIONAL HETEROSKEDASTICITY ⋮ Consistent model specification tests for time series econometric models ⋮ A nonparametric specification test for the volatility functions of diffusion processes ⋮ A nonparametric test for changing trends