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Binned Scatterplots: introducing -binscatter- and exploring its applications

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  • Michael Stepner

    () (MIT)

Abstract

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
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    File URL: http://repec.org/bos2014/boston14_stepner.pdf
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    Cited by:

    1. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "On Binscatter," Papers 1902.09608, arXiv.org.
      • 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, arXiv.org.

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