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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, 2024. "On Binscatter," American Economic Review, American Economic Association, vol. 114(5), pages 1488-1514, May.
    2. Evan Starr & Brent Goldfarb, 2020. "Binned scatterplots: A simple tool to make research easier and better," Strategic Management Journal, Wiley Blackwell, vol. 41(12), pages 2261-2274, December.
    3. Fabio Pieri, 2018. "Vertical organization of production and firm growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 83-106.
    4. Ghisetti, Claudia & Montresor, Sandro & Vezzani, Antonio, 2021. "Design and environmental technologies: Does ‘green-matching’ actually help?," Research Policy, Elsevier, vol. 50(5).
    5. Amakoe D. Alognon & Antonios M. Koumpias & Jorge Martínez-Vázquez, 2021. "The Impact of Plastic Money Use on VAT Compliance: Evidence from EU Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 5-26, November.
    6. Roman V. Galperin, 2020. "Organizational Powers: Contested Innovation and Loss of Professional Jurisdiction in the Case of Retail Medicine," Organization Science, INFORMS, vol. 31(2), pages 508-534, March.
    7. Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2019. "Binscatter Regressions," Papers 1902.09615, arXiv.org, revised Jul 2024.

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