Description/Abstract
A panel data regression model with heteroskedastic as well as spatially correlated disturbance 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 conditional LM test for homoskedasticity given spatial correlation, are also derived. These LM tests are compared with marginal LM tests that ignore heteroskedasticity in testing for spatial correlation, or spatial correlation in testing for homoskedasticity. Monte Carlo results show that these LM tests as well as their LR counterparts perform well even for small N and T. However, misleading inference can occur when using marginal rather than joint or conditional LM tests when spatial correlation or heteroskedasticity is present.
Document Type
Working Paper
Date
2008
Keywords
Panel data, heteroskedasticity, spatial correlation, Lagrange multiplier tests, random effects
Language
English
Series
Working Papers Series
Disciplines
Econometrics
Recommended Citation
Baltagi, Badi H.; Song, Seuck Heun; and Kwon, Jae Hyeok, "Testing for Heteroskedasticity and Spatial Correlation in a Random Effects Panel Data Model" (2008). Center for Policy Research. 59.
https://surface.syr.edu/cpr/59
Source
Metadata from RePEc
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional Information
Working paper no. 108
Harvest from RePEc at http://repec.org