Double length artificial regressions for testing spatial dependence

Econometric Reviews

Volumn 20, Issue 1, 2001, Pages 31-40

  Baltagi, Badi H ^a   Li, Dong ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b EAST CAROLINA UNIVERSITY   (United States)

Author keywords

Double length regressions; JEL Classification: C12, C21, R15; Lagrange multiplier; Spatial dependence

Indexed keywords

EID: 0012054011     PISSN: 07474938     EISSN: 15324168     Source Type: Journal    
DOI: 10.1081/ETC-100104078     Document Type: Article

References (9)

1. Anselin, L., 1988. Spatial Econometrics: Methods and Models Dordrecht: Kluwer.
2. Anselin, L., and Bera, A. K., 1998. Spatial dependence in linear regression models with an introduction to spatial econometrics, Handbook of Applied Economic Statistics Edited by: Ullah, A., and Giles, D. E.A., New York: Marcel Dekker.
3. Anselin, L., Bera, A. K., Florax, R., and Yoon, M. J., 1996. Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics, 26: 77–104.
4. Blommestein, H. J., and Koper, N. A. M., 1998. The influence of sample size on the degree of redundancy in spatial lag operators. Journal of Econometrics, 82: 317–333.
5. Cliff, A. D., and Ord, J. K., 1973. Spatial Autocorrelation London: Pion.
6. Davidson, R., and MacKinnon, J. G., 1984. Model specification tests based on artificial linear regressions. International Economic Review, 25: 485–502.
7. Davidson, R., and MacKinnon, J. G., 1988. Double-length artificial regressions. Oxford Bulletin of Economics and Statistics, 50: 203–217.
8. Davidson, R., and MacKinnon, J. G., 1993. Estimation and Inference in Econometrics Oxford: Oxford University Press.
9. Ord, J. K., 1975. Estimation methods for models of spatial interaction. Journal of the American Statistical Association, 70: 120–126.