We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the …

Measuring the dispersion of productivity or efficiency across firms in a market or industry is rife with methodological … to increase dispersion. This chapter presents a guide to measurement of dispersion and provides empirical evidence from a …

-systematic impact of omitted variable bias in primary studies. Our results show that the mixed effects estimator is to be preferred to … non-systematic impact of omitted variable bias, using the mixed effects estimator may be suboptimal. We also address the …

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …

of bias of (generalized) MMestimators tends to increase with the number of moment conditions exploited. Forvarious … estimation procedures we examine the analytical effects of feedbacks andother model characteristics such as prominence of … feedbacks none of the techniques examined dominates. However, asimple bias corrected LS estimator which presupposes strict …

effects of error propagation on the bias and mean squarederror of the meta-estimator, and the size and the power of …