situation is uncertain and complex, and when bias is likely. Non-experts who know the Golden Rule can identify dubious forecasts … quickly and inexpensively. To date, ignorance of research findings, bias, sophisticated statistical procedures, and the …

be consequential. Negative hypothetical bias among inconsequential survey respondents is also evident in the estimation …

estimated time-varying bias can be used to improve the SPF and Green Book inflation forecast performance by at least 13.4%. This … paper also documents evidence that the real interest rate plays a crucial role in explaining the level of bias that leads to …

This study aimed to clarify the value of the bias beta stocks listed on the Indonesia Stock Exchange and make … corrections to the bias value using Scholes and Williams, Dimson, and Fowler and Rorke. Results of this study indicate that the … stock beta is the value of bias, besides the results normality test also confirmed that the distribution of stock returns of …

market for experts. The information the expert reveals decreases as his bias moves toward stronger preference for the status …, revealing the intensity of the expert's bias doesn't always improve the information he reveals in equilibrium. The presence of a …

for the bias in OLS estimation of a general ARX(p) model. …

Non-response bias refers to the mistake one expects to make in estimating a population characteristic based on a sample … misdirected policy action. Therefore, considerable attention has been given to the problem of non-response bias, both at the …