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Estimation of a Stratified Error-Components Model

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  • Robert F. Phillips

Abstract

This article shows that the presence of incidental parameters in Baltagi and Griffin's (International Economic Review, 29 (1988), 745-53) generalized error-components model implies there is no guarantee feasible and true GLS estimators have the same asymptotic distribution. The article then considers a related stratified error-components model that has no incidental parameters. In this model, unobserved heterogeneity occurs through variances changing across strata. The article provides an EM algorithm for calculating estimates of the model's parameters without assuming observations can be classified into strata, derives a bootstrap test for identifying the number of strata, and applies the new methods in an example. Copyright 2003 By The Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Suggested Citation

  • Robert F. Phillips, 2003. "Estimation of a Stratified Error-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 501-521, May.
    • Handle: RePEc:ier:iecrev:v:44:y:2003:i:2:p:501-521
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    Citations

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    Cited by:

    1. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    2. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2006. "Joint LM test for homoskedasticity in a one-way error component model," Journal of Econometrics, Elsevier, vol. 134(2), pages 401-417, October.
    3. Robert Phillips, 2003. "Some Monte Carlo results for a generalized error component model with heteroskedastic disturbances," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-4.
    4. Robert Phillips, 2008. "On calculating estimates of stratified error-components models," Economics Bulletin, AccessEcon, vol. 3(75), pages 1-10.
    5. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers 584, RAND Corporation.
    6. repec:hal:journl:peer-00768191 is not listed on IDEAS
    7. Montes-Rojas, Gabriel & Sosa-Escudero, Walter, 2011. "Robust tests for heteroskedasticity in the one-way error components model," Journal of Econometrics, Elsevier, vol. 160(2), pages 300-310, February.
    8. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    9. Fuhrer, Adrian & Hock, Thorsten, 2023. "Uncertainty in the Black–Litterman model: Empirical estimation of the equilibrium," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 251-275.
    10. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    11. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers WR-584, RAND Corporation.
    12. repec:ebl:ecbull:v:3:y:2003:i:15:p:1-4 is not listed on IDEAS
    13. repec:ebl:ecbull:v:3:y:2008:i:75:p:1-10 is not listed on IDEAS

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