This paper quantifies the amount of noise and bias in analysts' forecast of corporate earnings at various horizons. We … next decompose the relative accuracy of these forecasts into three components: (i) noise, (ii) bias and (iii) analysts … both noise and bias are increase linearly. We then show most existing models lack a mechanism to account for these facts …

We ask whether stock returns in France, Germany, Japan, the UK and the US are predictable by three instruments: the …

additional tests, some of which utilize data on adverse health events, suggests that the forecast biases are at least partly due …

no evidence that plan participants undo this affiliation bias through their investment choices. Finally, the subsequent …

') bias in the estimates and, after due account is taken of this bias, we find that differences due to estimation method are … measure how these estimates vary by country, over time, and by estimation method. We find evidence reporting (or file drawer …

that self-selection of job changers may cause longitudinal estimation of wage gaps to be inconsistent …

In this paper, I present a simple characterization of the sample selection bias problem that is also applicable to the … problem of sample selection bias is fit within the conventional specification error framework of Griliches and Theil. A simple … estimator is discussed that enables analysts to utilize ordinary regression methods to estimate models free of selection bias …