What question did this study set out to answer?

To evaluate whether linear regression is superior to nonlinear models, such as logit and probit, for estimating causal effects of experimental treatments on binary outcomes.

September 24, 2020Journal of Experimental Psychology General

Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.

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Authors

RGRobin GomilaPrinceton University

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Implication

Methodological analysis reveals linear regression yields unbiased causal treatment effects on binary outcomes, indicating linear models are preferable to logistic regression for interpretability.

Key Points

To evaluate whether linear regression is superior to nonlinear models, such as logit and probit, for estimating causal effects of experimental treatments on binary outcomes.
Applied econometric theory and the Neyman-Rubin causal model to analytically evaluate estimator bias in treatment effect estimation.
Conducted statistical simulations and reanalyzed experimental field data from 24,191 students across 56 middle schools.
Proved analytically that linear regression provides unbiased estimates of causal treatment effects on binary outcomes.
Demonstrated that linear regression coefficients translate directly to probability differences and avoid estimation hazards associated with interaction terms and fixed effects in nonlinear models.

Cite This Study

Robin Gomila (2020) studied this question.

synapsesocial.com/papers/69d73454ef4aa71f97f306fb https://doi.org/10.1037/xge0000920

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Implication

Methodological analysis reveals linear regression yields unbiased causal treatment effects on binary outcomes, indicating linear models are preferable to logistic regression for interpretability.

Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.

Discussion

Member takes

Implication

Key Points

Cite This Study

Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis.

Discussion

Member takes

Implication

Key Points

Cite This Study

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