illustrates the tight link between parameter identification and the scope for bias that is generated by the autocoherence …

, organizations may bias their communication. The bias depends on the ex ante beliefs of donors and on mass media reporting. …

additional exact restrictions are placed on these coefficients. The bias and matrix mean squared errors of the Bayes and …

We review the economics literature that deals with identifying bias, or taste for discrimination, using statistical …

with other standard index number formulae and the bias in the index can be determined. The present paper presents most of … the known results on this bias (and derives some new ones) in a coherent framework using a simple identity from the … unit value into more homogeneous subgroups reduce the unit value bias? The answer seems to be: probably yes. …

but pressures sometimes exist to provide a bias forecast. From theoretical and empirical perspectives, we discuss the … losses. • Tested forecasts may appear completely unbiased despite a pessimistic pre-launch bias. • Although no perfect … solution exists, clients may lessen bias with experimentation and by seeking more accurate forecasts. Forecasters may lessen …

We observe a disproportional number of movies that vividly portray business and businesspeople with an unfavorable bias …

well-known phenomenon, namely the existence of a positive bias in experts' anticipations: the latter tend to over …-estimate earnings. In this paper, we study the properties of this bias according to various aspects, that is to say according to country …