IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v19y2019i3p598-614.html
   My bibliography  Save this article

Added-variable plots with confidence intervals

Author

Listed:
  • 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
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-3/gr0077/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=gr0077
    File Function: link to article purchase
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X19874236?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabor Pinter & Chaojun Wang & Junyuan Zou, 2024. "Size Discount and Size Penalty: Trading Costs in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2156-2190.
    2. 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.
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:19:y:2019:i:3:p:598-614. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.