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Computerizing Audit Studies.

Joanna N Lahey¹, Ryan A Beasley²

¹Assistant Professor, The Bush School of Government, Texas A&M University.

Journal of Economic Behavior & Organization

|June 7, 2014

Summary

This summary is machine-generated.

This study examines market discrimination research using traditional audit field experiments. Computerizing resume audits enhances sample size and reduces bias, offering a new tool for researchers.

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Area of Science:

Economics
Sociology
Labor Market Studies

Background:

Traditional audit field experiments are a common method for studying market discrimination.
These methods face challenges including template bias and experimenter bias.
Previous research has highlighted the limitations of conventional audit techniques.

Purpose of the Study:

To discuss the history, benefits, and shortcomings of traditional audit field experiments.
To identify and elaborate on template bias and experimenter bias in audit methods.
To introduce a computerized approach for resume audits to mitigate these biases.

Main Methods:

Literature review of audit field experiment methodologies.
Empirical demonstration using a computerized resume audit.
Development of a meta-tool for creating resume audits.

Main Results:

Computerization of resume audits significantly increases sample size.
Digital methods effectively mitigate template bias and experimenter bias.
A functional meta-tool for resume audit creation has been developed.

Conclusions:

Computerized resume audits offer a more efficient and reliable method for studying market discrimination.
The developed meta-tool empowers future researchers to conduct robust discrimination studies.
Addressing biases in audit methods is crucial for accurate market discrimination research.