Testing for random effects and spatial lag dependence in panel data models
AbstractThis paper derives a joint Lagrange Multiplier (LM) test which simultaneously tests for the absence of spatial lag dependence and random individual effects in a panel data regression model. It turns out that this LM statistic is the sum of two standard LM statistics. The first one tests for the absence of spatial lag dependence ignoring the random individual effects, and the second one tests for the absence of random individual effects ignoring the spatial lag dependence. This paper also derives two conditional LM tests. The first one tests for the absence of random individual effects without ignoring the possible presence of spatial lag dependence. The second one tests for the absence of spatial lag dependence without ignoring the possible presence of random individual effects.
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Bibliographic InfoArticle provided by Elsevier in its journal Statistics & Probability Letters.
Volume (Year): 78 (2008)
Issue (Month): 18 (December)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
Other versions of this item:
- Badi H. Baltagi & Long Liu, 2008. "Testing for Random Effects and Spatial Lag Dependence in Panel Data Models," Center for Policy Research Working Papers 102, Center for Policy Research, Maxwell School, Syracuse University.
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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- Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002.
"Testing Panel Data Regression Models with Spatial Error Correlation,"
10th International Conference on Panel Data, Berlin, July 5-6, 2002
B6-4, International Conferences on Panel Data.
- Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
- Breusch, T.S. & Pagan, A.R., .
"The Lagrange multiplier test and its applications to model specification in econometrics,"
CORE Discussion Papers RP
-412, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Breusch, T S & Pagan, A R, 1980. "The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 239-53, January.
- H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
- Nicolas Debarsy & Cem Ertur, 2009.
"Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model,"
- Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
- Bruno Lanz & Thomas F. Rutherford & John E. Tilton, 2013.
"Subglobal climate agreements and energy-intensive activities: An evaluation of carbon leakage in the copper industry,"
CER-ETH Economics working paper series
13/174, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
- Bruno Lanz & Thomas F. Rutherford & John E. Tilton, 2013. "Subglobal Climate Agreements and Energy-intensive Activities: An Evaluation of Carbon Leakage in the Copper Industry," The World Economy, Wiley Blackwell, vol. 36(3), pages 254-279, 03.
- S. Bouayad Agha & Nadine Turpin & Lionel Védrine, 2010.
"Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005,"
- Salima Bouayad-Agha & Nadine Turpin & Lionel Vedrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," Papers 2010-17, TEPP Working Papers.
- Baylis, Katherine R. & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(03), August.
- Franziska Lottmann, 2012. "Explaining regional unemployment differences in Germany: a spatial panel data analysis," SFB 649 Discussion Papers SFB649DP2012-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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