estimator that has become popular in applied econometrics, and conclude that its use in this context cannot be generally …

This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students …. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using … and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity …

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 …

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 …