large samples for poorly behaved distributions. The bias is almost always downward in absolute value. It arises because …

This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross … estimate spatial dependence parameters. For the case where the time dimension is small (the usual panel data case), we develop … Kelejian and Prucha. We apply this approach in a stochastic frontier framework to a panel of Indonesian rice farms where …

of the associated IV results. We discuss potential adjustments to IV estimates in the presence of this bias …

behavior, such as no selection bias and/or no selection on gain. To accommodate these diverse applications, we devise a novel …

Two-stage-least-squares (2SLS) estimates are biased towards OLS estimates. This bias grows with the degree of over …

the plim of the OLS estimate. However, an unbiased estimate of the attenuation bias of SSIV can be calculated. We us this … estimate of the attenutation bias to derive an estimator that is asymptotically unbiased as the number of instruments tends to …

biased in the same direction as ordinary least squares (OLS) estimates. The magnitude of the bias of IV estimates approaches … of the effects of educational attainment on earnings are possibly both inconsistent and suffer from finite sample bias …