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On Binscatter

delete2024-05-01
delete12
PRE
AI
C
Cattaneo, Matias d.
C
Crump, Richard k.
M
Max H. Farrell
F
Feng, Yingjie *
DOI：10.1257/aer.20221576delete
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Abstract

Abstract

En 中文
Binscatter is a popular method for visualizing bivariate relationships and conducting informal specification testing. We study the properties of this method formally and develop enhanced visualization and econometric binscatter tools. These include estimating conditional means with optimal binning and quantifying uncertainty. We also highlight a methodological problem related to covariate adjustment that can yield incorrect conclusions. We revisit two applications using our methodology and find substantially different results relative to those obtained using prior informal binscatter methods. General purpose software in Python , R , and Stata is provided. Our technical work is of independent interest for the nonparametric partition-based estimation literature. ( JEL C13, C14, C18, C51, O31, R32 )
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American Economic Review cover
American Economic Review
IF:
11.6
Papers:
5.0K
Citations:
7.5W

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F
federal reserve bank - new york
Scholars:
160
Papers: 186
Citations: 0
P
Princeton University
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2.1W
Papers: 2.3W
Citations: 5.1W
F
federal reserve system - usa
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1.6K
Papers: 2.4K
Citations: 3
University of California System cover
University of California System
Scholars:
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Papers: 33.7W
Citations: 6.6K
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