IDEAS home Printed from
   My bibliography  Save this paper

Binned Scatterplots: introducing -binscatter- and exploring its applications


  • Michael Stepner

    () (MIT)


binscatter is a newly released program that produces binned scatterplots, which provide a non-parametric estimate of a conditional expectation function. This presentation will describe the features of binscatter, and explore its versatile applications. Those applications include: observing the relationship between two variables in large datasets, visualizing OLS regressions, visualizing regression-discontinuity designs, plotting event studies, and visualizing IV regressions. The emphasis of the presentation will be demonstrating how binscatter can be used to complement the empirical techniques most commonly used in applied economic research.

Suggested Citation

  • Michael Stepner, 2014. "Binned Scatterplots: introducing -binscatter- and exploring its applications," 2014 Stata Conference 4, Stata Users Group.
  • Handle: RePEc:boc:scon14:4

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608,
      • Cattaneo, Matias D. & Crump, Richard K. & Farrell, Max H. & Feng , Yingjie, 2019. "On binscatter," Staff Reports 881, Federal Reserve Bank of New York.
    2. repec:oup:indcch:v:27:y:2018:i:1:p:83-106. is not listed on IDEAS
    3. Fabio Pieri, 2018. "Vertical organization of production and firm growth," Industrial and Corporate Change, Oxford University Press, vol. 27(1), pages 83-106.
    4. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615,

    More about this item


    Access and download statistics


    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:boc:scon14:4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.