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  2. Present bias - Wikipedia

    en.wikipedia.org/wiki/Present_bias

    Present bias is the tendency to settle for a smaller present reward rather than wait for a larger future reward, in a trade-off situation. [ 1 ] [ 2 ] It describes the trend of overvaluing immediate rewards, while putting less worth in long-term consequences. [ 3 ]

  3. List of cognitive biases - Wikipedia

    en.wikipedia.org/wiki/List_of_cognitive_biases

    (compare optimism bias) Present bias: The tendency of people to give stronger weight to payoffs that are closer to the present time when considering trade-offs between two future moments. [111] Plant blindness: The tendency to ignore plants in their environment and a failure to recognize and appreciate the utility of plants to life on earth. [112]

  4. Time preference - Wikipedia

    en.wikipedia.org/wiki/Time_preference

    This can be captured by a quasi-hyperbolic curve, wherein there is a fitted parameter for the magnitude of the first day effect. This is commonly called the beta-delta model, wherein there is a beta parameter that accounts for the present bias. The equation for utility over time looks like [19]

  5. Dynamic inconsistency - Wikipedia

    en.wikipedia.org/wiki/Dynamic_inconsistency

    A different form of dynamic inconsistency arises as a consequence of "projection bias" (not to be confused with a defense mechanism of the same name). Humans have a tendency to mispredict their future marginal utilities by assuming that they will remain at present levels. This leads to inconsistency as marginal utilities (for example, tastes ...

  6. Bias of an estimator - Wikipedia

    en.wikipedia.org/wiki/Bias_of_an_estimator

    Bias is a distinct concept from consistency: consistent estimators converge in probability to the true value of the parameter, but may be biased or unbiased (see bias versus consistency for more). All else being equal, an unbiased estimator is preferable to a biased estimator, although in practice, biased estimators (with generally small bias ...

  7. Statistical model specification - Wikipedia

    en.wikipedia.org/wiki/Statistical_model...

    A variable omitted from the model may have a relationship with both the dependent variable and one or more of the independent variables (causing omitted-variable bias). [3] An irrelevant variable may be included in the model (although this does not create bias, it involves overfitting and so can lead to poor predictive performance).

  8. Survivorship bias - Wikipedia

    en.wikipedia.org/wiki/Survivorship_bias

    In 1996, Elton, Gruber, and Blake showed that survivorship bias is larger in the small-fund sector than in large mutual funds (presumably because small funds have a high probability of folding). [8] They estimate the size of the bias across the U.S. mutual fund industry as 0.9% per annum, where the bias is defined and measured as:

  9. Forecast bias - Wikipedia

    en.wikipedia.org/wiki/Forecast_bias

    A typical measure of bias of forecasting procedure is the arithmetic mean or expected value of the forecast errors, but other measures of bias are possible. For example, a median-unbiased forecast would be one where half of the forecasts are too low and half too high: see Bias of an estimator .