Estimating human inference levels across different memory biases

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Experiment data of "Estimating human inference levels across different memory biases". Data is gathered using Amazon mechanical Turk. Experiment web page is implemented in HTML, CSS, Javascript. We propose a novel approach to estimate human inference levels, drawing inspiration from the Keynesian beauty contest, a classic experimental paradigm in behavioral finance. We measured 'valuation' from prospect theory task and 'meta-cognition' from dot discrimination task. We compared consistency of our measure. And we examined memory-dependent inference profile using the data.

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