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看到二楼的观点,想讨论一下。下面是从stata手册上摘的一段话:xtscc produces Driscoll and Kraay (1998) standard errors for coefficients
estimated by pooled OLS/WLS or fixed-effects (within) regression. depvar
is the dependent variable and varlist is an (optional) list of
explanatory variables.
The error structure is assumed to be heteroskedastic, autocorrelated up
to some lag, and possibly correlated between the groups (panels). These
standard errors are robust to very general forms of cross-sectional
("spatial") and temporal dependence when the time dimension becomes
large. However, because this nonparametric technique of estimating
standard errors does not place any restrictions on the limiting behavior
of the number of panels, the size of the cross-sectional dimension in
finite samples does not constitute a constraint on feasibility - even if
the number of panels is much larger than T. Nevertheless, because the
estimator is based on an asymptotic theory one should be somewhat
cautious with applying this estimator to panel datasets with a large
number of groups that have only a short number of observations.
从这段解释应该说xtscc在N远大于T时应当慎用。
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