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- W1517367990 abstract "The recent blossoming of panel econometrics in general and panel time-series methods in particular has enabled many more research questions to be investigated than before. However, this development has not assuaged serious concerns over the lack of diagnostic testing procedures in panel econometrics, in particular visa-vis the prominence of such practices in the time-series domain: the recent introduction of residual cross-section independence tests aside, within mainstream panel empirics the combination of ‘model’, ‘specication’ and ‘testing’ typically refers to the distinction between xed and random eects, as opposed to a rigorous investigation of residual properties. In this paper we investigate these issues in the context of non-stationary panels with multifactor error structure, employing Monte Carlo simulations to investigate the distributions and rejection frequencies for standard timeseries diagnostic procedures, including tests for residual autocorrelation, ARCH, normality, heteroskedasticity and functional form." @default.
- W1517367990 created "2016-06-24" @default.
- W1517367990 creator A5003706361 @default.
- W1517367990 date "2010-11-01" @default.
- W1517367990 modified "2023-10-02" @default.
- W1517367990 title "Panel Estimation for Worriers" @default.
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