Showing 121 - 130 of 12,227
Persistent link: https://www.econbiz.de/10005545795
In this paper, we analyse the behaviour of regression-based tests for seasonal unit roots when the error is … periodically heteroscedastic. We show, using the case of quaterly data to illustrate, that the limiting null distribution of tests …
Persistent link: https://www.econbiz.de/10005738174
Persistent link: https://www.econbiz.de/10005633615
In this paper we are interested in heteroskedastic regression model s, for which an appropriate bootstrap method is bootstrapping pairs, proposed by Freedman (1981). We propose an ameliorate version of it, with better numerical performance.
Persistent link: https://www.econbiz.de/10005634231
In this paper we are interested in inference based on heteroskedasticity consistent covariance matrix estimators, for … methos, show that all wild bootstraps tests exhibit substantial size distortion if the error terms are skewed and strongly …
Persistent link: https://www.econbiz.de/10005479073
heteroskedasticity robust covariance matrix estimator. We show that their bootstrap estimator can be calculated directly, without …
Persistent link: https://www.econbiz.de/10005669447
In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a … standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance … used conventional identification schemes in this context are rejected by the data if heteroskedasticity is allowed for …
Persistent link: https://www.econbiz.de/10010361372
mechanism and multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models. Using changes in volatility …
Persistent link: https://www.econbiz.de/10010233639
mechanism and multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models. Using changes in volatility …
Persistent link: https://www.econbiz.de/10010233991
In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a … standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance … used conventional identification schemes in this context are rejected by the data if heteroskedasticity is allowed for …
Persistent link: https://www.econbiz.de/10010364697