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Testing Distributional Dependence in the Becker-DeGroot-Marschak ...

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Fur<strong>the</strong>rmore, <strong>the</strong> patterns of observed distributional dependence are found to be largely<br />

<strong>in</strong>consistent with <strong>the</strong> predictions of <strong>the</strong> models of Horowitz and Lusk, et al. There is suggestive<br />

evidence from <strong>the</strong> survey that students completed at <strong>the</strong> conclusion of <strong>the</strong> experiment that<br />

supports <strong>the</strong> more generalized pattern of underbidd<strong>in</strong>g predicted by Kaas and Ruprecht.<br />

Collectively speak<strong>in</strong>g, <strong>the</strong> measures of risk aversion <strong>in</strong>dicate that subjects are not treat<strong>in</strong>g <strong>the</strong><br />

BDM mechanism as a first-price auction. The proposed mass-seek<strong>in</strong>g framework provides a<br />

substantially better description of <strong>the</strong> empirical patterns among <strong>the</strong> subjects sensitive to<br />

distributional dependence, <strong>in</strong>clud<strong>in</strong>g <strong>the</strong> fact that <strong>the</strong>se effects dim<strong>in</strong>ish with distance.<br />

The level of detail of <strong>the</strong> <strong>in</strong>structions matters to a surpris<strong>in</strong>g degree. While <strong>the</strong> more detailed<br />

<strong>in</strong>structions yield responses that are more stable and less sensitive to distributional dependence,<br />

it is not <strong>the</strong> case that <strong>the</strong>y necessarily more accurately reflect <strong>the</strong> true valuations of <strong>the</strong> subjects.<br />

Insofar as distributional dependence may pose complications or difficulties for elicit<strong>in</strong>g valuations<br />

from subjects, <strong>the</strong> solution is arguably not to be found <strong>in</strong> <strong>in</strong>creas<strong>in</strong>g <strong>the</strong> level of detail of <strong>the</strong><br />

<strong>in</strong>structions.<br />

The BDM mechanism is and rema<strong>in</strong>s an important tool for measur<strong>in</strong>g <strong>the</strong> valuations of<br />

subjects both <strong>in</strong>side and outside of <strong>the</strong> lab. Through its novel dataset, this study contributes to<br />

our understand<strong>in</strong>g of how this oft-used and relied-upon methodology should be used and<br />

<strong>in</strong>terpreted.<br />

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