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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
Kilian, Lutz; Gonçalves, Sílvia - 2002
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10010295743
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - 2002
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10011431797
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia (contributor); Kilian, Lutz (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001947544
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - In: Journal of econometrics 123 (2004) 1, pp. 89-120
Persistent link: https://www.econbiz.de/10002223733
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia; Kilian, Lutz - 2002
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10001727625
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Asymptotic and bootstrap inference for AR (∞) processes with conditional heteroskedasticity
Gonçalves, Sílvia; Kilian, Lutz - In: Econometric reviews 26 (2007) 6, pp. 609-641
Persistent link: https://www.econbiz.de/10003605816
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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
Kilian, Lutz - 2016
Persistent link: https://www.econbiz.de/10012991261
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Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form
Gonçalves, Sílvia; Kilian, Lutz - 2021
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression error as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10013320164
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Bootstrapping autoregressions with conditional heteroskedasticity of unknown form
Gonçalves, Sílvia - 2002
Persistent link: https://www.econbiz.de/10013434522
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The moving blocks bootstrap for panel linear regression models with individual fixed effects
Gonçalves, Sílvia - In: Econometric theory 27 (2011) 5, pp. 1048-1082
Persistent link: https://www.econbiz.de/10009379757