Abstract: This paper derives unbalanced versions of the tests statistics for first order serial correlation and random individual effects summarized in Sosa Escudero and Bera (2001), and updates their xttest1 routine. The derived tests statistics should be useful for applied researchers faced with the increasing availability of panel information where not every individual or country is observed for the full time span. Also, as it was the case of the previously available tests, the test statistics proposed here are based on the OLS residuals, and hence are computationally very simple. JEL Classification: C12, C23, C5
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
We propose a random effects panel data model with both spatially correlated error components and spa...
A popular class of tests for simple autoregressive processes is considered in the context of the err...
This paper derives unbalanced versions of the test statistics for firstorder serial correlation and ...
This paper derives unbalanced versions of the tests statistics for first order serial correlation an...
It is well known that most of the standard specification tests are not valid when the alternative hy...
It is well known that most of the standard speci¯cation tests are not valid when the alternative hyp...
This article proposes new simple testing procedures for the joint null hypothesis of absence of pers...
This paper derives several Lagrange Multiplier tests for the unbalanced nested error component model...
This paper concerns linear models for grouped data with group-specific effects. We construct a portm...
Because serial correlation in linear panel-data models biases the standard errors and causes the res...
This paper derives tests for skewness and kurtosis for the panel data one-way error component model....
summary:The paper presents some approximate and exact tests for testing variance components in gener...
This paper concerns linear models for grouped data with group-specific effects. We construct a test ...
A Monte Carlo simulation study was conducted to investigate Type I error rates and power of several ...
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
We propose a random effects panel data model with both spatially correlated error components and spa...
A popular class of tests for simple autoregressive processes is considered in the context of the err...
This paper derives unbalanced versions of the test statistics for firstorder serial correlation and ...
This paper derives unbalanced versions of the tests statistics for first order serial correlation an...
It is well known that most of the standard specification tests are not valid when the alternative hy...
It is well known that most of the standard speci¯cation tests are not valid when the alternative hyp...
This article proposes new simple testing procedures for the joint null hypothesis of absence of pers...
This paper derives several Lagrange Multiplier tests for the unbalanced nested error component model...
This paper concerns linear models for grouped data with group-specific effects. We construct a portm...
Because serial correlation in linear panel-data models biases the standard errors and causes the res...
This paper derives tests for skewness and kurtosis for the panel data one-way error component model....
summary:The paper presents some approximate and exact tests for testing variance components in gener...
This paper concerns linear models for grouped data with group-specific effects. We construct a test ...
A Monte Carlo simulation study was conducted to investigate Type I error rates and power of several ...
This article proposes a new test that is consistent, achieves correct asymptotic size, and is locall...
We propose a random effects panel data model with both spatially correlated error components and spa...
A popular class of tests for simple autoregressive processes is considered in the context of the err...