Three-dimensional panel data models with interactive effects: Estimation and simulation
This paper considers three-dimensional panel data models with unobservable multiple interactive effects, which are potentially correlated with the covariates. We propose an iterated OLS (IOLS) approach for the estimation of the static model and an iterated GMM (IGMM) method for the dynamic model. Monte Carlo simulations illustrate that our methods perform well in finite samples.
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- M. Hashem Pesaran, 2006.
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- Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Antweiler, Werner, 2001. "Nested random effects estimation in unbalanced panel data," Journal of Econometrics, Elsevier, vol. 101(2), pages 295-313, April.
- Montmarquette, Claude & Mahseredjian, Sophie, 1989. "Does School Matter for Educational Achievement? A Two-Way Nested-Error Components Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(2), pages 181-193, April-Jun. Full references (including those not matched with items on IDEAS)
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