Another look at the instrumental variable estimation of error-components models

This article develops a framework for efficient IV estimators of random effects models with information in levels which can accommodate predetermined variables. Our formulation clarifies the relationship between the existing estimators and the role of transformation in panel data models. We characterise the valid transformations for relevant models and show the optimal estimators are invariant to the transformation used to remove individual effects. We present an alternative transformation for models with predetermined instruments which preserves the orthogonality among the errors. Finally, we consider models with predetermined variables that have constant correlation with effects and illustrate their importance with simulations

Learning about migration decisions from the migrants Using complementary data sets to model intra-regional migrations in Spain

Issued under the auspices of the Centre's research programme in Labour EconomicsAvailable from British Library Document Supply Centre-DSC:3597.9512(no 2746) / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Unemployment duration, benefit duration and the business cycle

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.9512(1840) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Another look at the instrumental-variable estimation of error-components models

This paper was presented at the World Congress of the Econometric Society, held Barcelona (SP) Aug 1990SIGLEAvailable from British Library Document Supply Centre- DSC:3597.1206(LSE-CEP-DP--7) / BLDSC - British Library Document Supply CentreGBUnited Kingdo