, increasing statistical power, reducing bias and enhancing credibility, meta-analysis is widely regarded as 'best evidence …

nonlinearity of the problem. We present a penalty for the objective function that reduces the bias in the resulting point estimates … practice. The form of the penalty also provides interesting intuition into how the bias reduction is working. We present … simulation results that suggest that the penalized optimization approach may substantially reduce the bias in nonlinear fixed …

This paper studies asymptotically the bias of the fixed effect (FE) estimator induced by cross-section heterogeneity in …) asymptotically, the heterogeneity bias of the FE may be more or less severe in VAR specifications than in standard dynamic panel data …

magnitude of bias of (generalized) MM estimators tends to increase with the number of moment conditions exploited. For various … feedbacks none of the techniques examined dominates. However, a simple bias corrected LS estimator which presupposes strict …

We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and … construct a number of bias corrected OLS and IV estimators, which we show to be consistent under a sequential asymptotic scheme …. These bias-corrected estimators are also robust, in the sense that they remain consistent in a conventional asymptotic setup …

Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It … can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature …: many studies focus solely on measuring accuracy. Methods for assessing bias in single series are relatively well known and …

This paper examines alternative forms of match bias arising from earnings imputation. Wage equation parameters are … imputation match criteria (e.g., union status) are severely biased. Related forms of match bias arise with respect to attributes … used as match criteria, but matched imperfectly. For example, an imperfect match on schooling creates bias that flattens …