This paper derives a simple lagrange multiplier (LM) test which jointly tests the presence of random individual effects and serial correlation. This test is an extension of the Breusch and Pagan (1980) LM test. It is computationally simple and requires only the OLS residuals. It should prove...

This paper derives Lagrange multiplier tests based on double-length artificial regressions for testing linear and loglinear error component regressions against Box-Cox alternatives. These tests are easy to implement and should prove useful in panel data regressions.

Utilising four annual panel datasets and dynamic panel data estimation procedures we find that trade and financial openness, as well as economic institutions are statistically important determinants of the variation in financial development across countries and over time since the 1980s....

A panel data regression model with heteroskedastic as well as spatially correlated disturbances is considered, and a joint LM test for homoskedasticity and no spatial correlation is derived. In addition, a conditional LM test for no spatial correlation given heteroskedasticity, as well as a...