the lists yields a systematic decrease in risk aversion. This bias is quite distinct from other confounds that have been … method due to Abdellaoui et al. (2011), also based on lists, does not display any statistically significant bias when the … preferable for the measurement of risk aversion. -- Risk aversion ; risk attitudes ; experiments ; lists ; elicitation method …

Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It … can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature …: many studies focus solely on measuring accuracy. Methods for assessing bias in single series are relatively well known and …

, Eurostat and the UN is shown to result in downward bias in the CPI and upward bias in real consumption. We conclude that the …

that such an index formula is prone to substitution bias. Therefore, also the terms of trade (ratio of export and import … price index) are likely to be distorted. The underlying substitution bias accumulates over time. The present paper … introduces a simple and transparent retrospective correction approach that removes the substitution bias and produces meaningful …

Measurement error in historical data distorts descriptive analyses based on binary classifications. Modern replications … of deficiencies in retrospective CPI estimates for the 19th century show that measurement issues cause misclassification …. Using various approaches to control for measurement error in 19th century US CPI data, a series of stylized facts emerge: (i …