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5 - Empirical Multiverses

from Part II - The Computational Multiverse

Published online by Cambridge University Press:  28 February 2025

Cristobal Young  and
Erin Cumberworth
Cristobal Young
Affiliation:
Cornell University, New York
Erin Cumberworth
Affiliation:
Cornell University, New York
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Summary

Having developed the multiverse framework in detail, let’s take it for empirical road tests. Are banks biased in mortgage lending? Do job training programs lead to higher wages? How much do the answers to these questions depend on modeling assumptions? Sometimes “significant” results are very stable and robust across models, while other results are mostly null, supported in one in a hundred credible models. In this chapter we demonstrate how to conduct and interpret a basic multiverse analysis, and we cover basic multiverse commands in Stata.

Keywords

research replicationmultiverse analysismodeling distributiondiscrimination in mortgage lendingjob training effectiveness
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Chapter
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Multiverse Analysis
Computational Methods for Robust Results
 , pp. 59 - 69
Publisher: Cambridge University Press
Print publication year: 2025

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