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We propose a new measure of differential interpretation in the context of a Bayesian learning model, which allows us to abstract from other sources of disagreement, such as differences in priors. We then develop a likelihood ratio statistic for testing the null hypothesis that agents interpret...
Persistent link: https://www.econbiz.de/10011163299
We investigate the impact of an uncertain number of false individual null hypotheses on commonly used p-value combination methods and find that the performance of these methods varies substantially under such uncertainty. These variations yield conflicting results in meta-analysis, motivating...
Persistent link: https://www.econbiz.de/10010925711
Sheng and Thevenot (2011) develop a new measure of uncertainty which is a modification of the uncertainty measure advanced by Barron, Kim, Lim and Stevens (BKLS 1998), and they find this new uncertainty measure to be superior to the BKLS measure in certain settings. We follow Sheng and...
Persistent link: https://www.econbiz.de/10010616479
To measure disagreement among respondents in qualitative survey data, we propose new methods applicable to both univariate and multivariate comparisons. Based on prior work, our first measure quantifies the level of disagreement in predictions of a single variable. Our second method constructs...
Persistent link: https://www.econbiz.de/10010604080