SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects
This paper focuses on the estimation of error components models in the presence of a correlation of the disturbances across equations and AR(1) of the remainder disturbances for panel data with endogenous unobserved effects. Additionally, the set-up allows for unequally spaced panel data and differences in the autocorrelation parameters across equations. The derived procedure is a feasible generalized least squares (GLS) estimator, which provides estimates of the variance components in the spirit of Hausman & Taylor (1981).
|Date of creation:||Mar 2002|
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