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The aim is to emphasize the importance of reporting control variable results to enhance credibility and transparency in empirical research.

The Case for Reporting Control Variable Coefficients

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The aim is to emphasize the importance of reporting control variable results to enhance credibility and transparency in empirical research.
Proposed a multistep approach to analyze control variable coefficients
Examined the impact of omitted variable biases and correlated measurement errors
Provided guidelines for distinguishing suppressor effects from model specification artifacts.
Reporting control variable coefficients uncovers multicollinearity and biases, enhancing model accuracy
Inadequate reporting can lead to type 1 errors among key variables, impacting research credibility
Full reporting facilitates comparison across studies and strengthens theoretical development.

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Argument highlights the need to include control variable results in empirical regression studies, promoting transparency and theory building.

Kalnins et al. (2026) studied this question.

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Argument highlights the need to include control variable results in empirical regression studies, promoting transparency and theory building.