Testing for Heteroskedasticity and Serial Correlation in a Random Effects Panel Data Model

Analysis of the impacts of Common Agricultural Policy on plant production in the Czech Republic

“…RE as opposed to FE, was tested by way of the Hausman test (Wooldridge, 2002). Assumptions regarding the qualities of the random element were verifi ed by way of the Baltagi-Li Joint Lagrange Multiplier test of homoscedasticity and serial correlation of the random element (Baltagi et al, 2008), the Breusch-Pagan test of homoscedasticity of the random element (Green, 2007), the Wooldridge test of serial correlation of the random element (see Drukker, 2003), the Godfrey Lagrange Multiplier test of serial correlation of the random element (for more, see Green, 2008) and the VIF test of multi-colinearity (Green, 2008).…”

Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting in China

“…Many efforts have been made to impose structures on the regression function to address this problem [47][48][49]. And notably, as an important case of nonparametric model, nonparametric autoregression model [50,51] involves stationary autoregressive process that has the same asymptotic behavior as corresponding estimators in nonparametric regression.…”

A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction

“…However, there are plenty of actual situations in which it is appropriate to consider the problem of serial correlation [39,40]. As an important case of nonparametric model, nonparametric auto-regression model involves stationary auto-regressive process that has the same asymptotic behavior as corresponding estimators in nonparametric regression, which have made progress in many fields [41][42][43][44][45].…”