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SIMPLE LM TESTS FOR THE UNBALANCED NESTED ERROR COMPONENT REGRESSION MODEL 

Authors: Badi H. Baltagi a;  Seuck Heun Song b; Byoung Cheol Jung c
Affiliations:   a Department of Economics, Texas A&M University, TX, U.S.A.
b Department of Statistics, Korea University, Sungbuk-Ku, Seoul, Korea
c Department of Economics, Korea University, Sungbuk-Ku, Seoul, Korea
DOI: 10.1081/ETC-120014347
Publication Frequency: 6 issues per year
Published in: journal Econometric Reviews, Volume 21, Issue 2 January 2002 , pages 167 - 187
Formats available: HTML (English) : PDF (English)
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Abstract

This paper derives several Lagrange Multiplier tests for the unbalanced nested error component model. Economic data with a natural nested grouping include firms grouped by industry; or students grouped by schools. The LM tests derived include the joint test for both effects as well as the test for one effect conditional on the presence of the other. The paper also derives the standardized versions of these tests, their asymptotic locally mean most powerful version as well as their robust to local misspecification version. Monte Carlo experiments are conducted to study the performance of these LM tests.
Keywords: Panel data; Nested error component; Unbalanced data; LM tests
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