unbiased

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unbiased

(ŭn-bī′ĭst)
1. Neutral; impartial; uninfluenced.
2. Scientifically randomized.
References in periodicals archive ?
The Forward Rate Unbiasedness Hypothesis Reexamined: Evidence from a New Test.
While the Johansen cointegration procedure was used to test for long-run market unbiasedness, the short-run price dynamics had to be analysed by an error-correction model (ECM).
Implicitly, violating the property of lack of serial correlation also implies rejection of the unbiasedness property.
However, due to some weaknesses of this approach--caused mainly by the need to impose backward unbiasedness of inflation perception and to aggregate fractions of respondents claiming that 'prices are much higher', 'moderately higher' and 'a little higher', which leads to a significant loss of survey information--the approach suggested by Batchelor and Orr (1988) is strongly preferable.
Their argument referred to tests of unbiasedness but also applies here, even though the dependent variable is the return rather than the realized inflation rate.
t]) [not equal to] 1, but it does not influence the unbiasedness and efficiency properties of estimation [Tang, et al.
The main theoretical result is the redundancy of the treatment randomization condition: the "as-if" treatment condition may be equaled to the expected exchangeability condition, since it is sufficient to provide the unbiasedness of the estimates.
Trading behavior and the Unbiasedness of the Market Reaction to Dividend Announcements.
There needs to be introduced a mechanism of control of the unbiasedness of Bulgarian magistrates, according to Bulgarian Minister of Justice Margarita Popova.
Even today, it is surprising how much print in econometrics textbooks is devoted to the task of obtaining estimators with desirable large and small sample properties, for example, unbiasedness, consistency and efficiency, and bow little is devoted to explaining exactly what one has estimated in an unbiased, consistent, and efficient manner.
It has also been shown in Monte Carlo simulations to outperform the pooled OLS, random effects, and Hausman-Taylor instrumental variables approaches in terms of consistency and unbiasedness (Plumper and Troeger 2004).
The method of approach is to formulate the task of optimal estimation as an extremum problem in the calculus of variations under the unbiasedness constraint.