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Added-variable plots with confidence intervals

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  • John Luke Gallup

    (Portland State University)

Abstract

An added-variable plot is an effective way to show the correlation between an independent variable and a dependent variable conditional on other independent variables. For multivariate estimation, a simple scatterplot showing x versus y is not adequate to show the partial correlation of x with y, because it ignores the impact of the other covariates. Added-variable plots are especially effective for showing the correlation of a dummy x variable with y because the dummy variable conditional on other covariates becomes a continuous variable, making the relationship easier to visualize. Added-variable plots are also useful for spotting influential outliers in the data that affect the estimated regression parameters. Stata provides added-variable plots after ordinary least-squares regressions with the avplot command. I present a new command, avciplot, that adds a confidence interval and other options to the avplot command.

Suggested Citation

  • John Luke Gallup, 2019. "Added-variable plots with confidence intervals," Stata Journal, StataCorp LP, vol. 19(3), pages 598-614, September.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:3:p:598-614
    DOI: 10.1177/1536867X19874236
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    Cited by:

    1. Mobayode O. Akinsolu & Abimbola O. Sangodoyin & Uyoata E. Uyoata, 2022. "Behavioral Study of Software-Defined Network Parameters Using Exploratory Data Analysis and Regression-Based Sensitivity Analysis," Mathematics, MDPI, vol. 10(14), pages 1-24, July.
    2. Gábor Pintér & Chaojun Wang & Junyuan Zou, 2021. "Size Discount and Size Penalty Trading Costs in Bond Markets," Discussion Papers 2114, Centre for Macroeconomics (CFM).
    3. Steffen Westermann & Scott J. Niblock & Jennifer L. Harrison & Michael A. Kortt, 2020. "Financial Advice Seeking: A Review of the Barriers and Benefits," Economic Papers, The Economic Society of Australia, vol. 39(4), pages 367-388, December.

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