We derive tests for persistent effects in a general linear dynamic panel data context. Two sources of persistent behavior are considered: time-invariant unobserved factors (captured by an individual random effect) and dynamic persistence or “state dependence” (captured by autoregressive...

A new Stata command, xtsktest, is proposed to explore non-normalities in linear panel data models. The tests explore skewness and excess kurtosis allowing researchers to identify departures away from gaussianity in both error components of a standard panel regression, sepa- rately or jointly....

This paper constructs tests for heteroskedasticity in one-way error components models, in line with Baltagi et al. [Baltagi, B.H., Bresson, G., Pirotte, A., 2006. Joint LM test for homoskedasticity in a one-way error component model. Journal of Econometrics 134, 401-417]. Our tests have two...

A well known result is that many of the tests used in econometrics, such as the Rao score (RS) test, may not be robust to misspecified alternatives, that is, when the alternative model does not correspond to the underlying data generating process. Under this scenario, these tests spuriously...

This paper derives tests for skewness and kurtosis for the panel data one-way error component model. The test statistics are based on the between and within transformations of the pooled OLS residuals, and are derived in a moment conditions framework. We establish the limiting distribution of...

This paper constructs tests for heteroskedasticity in one-way error components models, in line with Baltagi, Bresson and Pirotte (Journal of Econometrics, 134, 2006). Our tests have two additional robustness properties. First, standard tests for heteroskedasticity in the individual component are...

This paper constructs tests for heteroskedasticity in one-way error components models, in line with Baltagi, Bresson and Pirotte (Journal of Econometrics, 134, 2006). Our tests have two additional robustness properties. First, standard tests for heteroskedasticity in the individual component are...

A new Stata command, xtsktest, is proposed to explore non-normalities in linear panel data models. The tests explore skewness and excess kurtosis allowing researchers to identify departures away from gaussianity in both error components of a standard panel regression, sepa- rately or jointly....

An additivity property of LM tests is derived, linking joint, marginal and Bera-Yoon "adjusted" tests, hence the latter can be derived as the difference of the first two. An artificial regression framework provides an intuitive geometrical illustration of the Bera-Yoon principle.