Testing for serial correlation in hierarchical linear models

Testing for serial correlation in linear panel-data models

Because serial correlation in linear panel-data models biases the standard errors and causes the results to be less efficient, researchers need to identify serial correlation in the idiosyncratic error term in a panel-data model. A new test for serial correlation in randomor fixed-effects one-way models derived by Wooldridge (2002) is attractive because it can be applied under general condition...

Models, Testing, and Correction of Serial Correlation

Testing for Serial Correlation in Fixed-Effects Panel Data Models

In this paper, we propose three new tests for serial correlation in the disturbances of fixed-effects panel data models. First, a modified Bhargava, Franzini and Narendranathan (1982) panel Durbin-Watson statistic that does not need to be tabulated as it follows a standard normal distribution. Second, a modified Baltagi and Li (1991) LM statistic with limit distribution independent of T , and, ...

Testing Cross-Sectional Correlation in Large Panel Data Models with Serial Correlation

This paper considers the problem of testing cross-sectional correlation in large panel data models with serially-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in the errors. To control the size, this paper proposes a modification of Pesaran’s Cross-sectional Dependence (CD) test to account for serial correlatio...

Serial Correlation Coefficient

In this paper, we investigate the relation between two variables where the one is measured with the ratio or interval scale and the other with the nominal. In this cases, we use from serial correlation coefficient. Computation of some serial coefficient such as biserial and point-biserial coefficient is carried out with some examples and R program.