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Binned scatterplots with marginal histograms: binscatterhist

Author

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  • Matteo Pinna

    (ETH Zürich)

Abstract

I introduce binscatterhist, a command that extends the functionality of the popular binscatter command (Stepner, 2013, Statistical Software Compo- nents S457709, Department of Economics, Boston College). binscatter allows researchers to summarize the relationship between two variables in an informative and versatile way by collapsing scattered points into bins. However, information about the variables’ frequencies gets lost in the process. binscatterhist solves this issue by allowing the user to further enrich the graphs by plotting the variables’ underlying distribution. The binscatterhist command includes options for dif- ferent regression methods, including reghdfe (Correia, 2014, Statistical Software Components S457874, Department of Economics, Boston College) and areg, and robust and clustered standard errors, with automatic reporting of estimation results and sample size.

Suggested Citation

  • Matteo Pinna, 2022. "Binned scatterplots with marginal histograms: binscatterhist," Stata Journal, StataCorp LP, vol. 22(2), pages 430-445, June.
    • Handle: RePEc:tsj:stataj:v:22:y:2022:i:2:p:430-445
    DOI: 10.1177/1536867X221106418
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    Cited by:

    1. Gay, Victor & Dazey, Margot, 2024. "The Mosque Nearby: Visible Minorities and Far-Right Support in France," IAST Working Papers 24-164, Institute for Advanced Study in Toulouse (IAST).

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