binsreg - Binscatter Estimation and Inference
Provides tools for statistical analysis using the
binscatter methods developed by Cattaneo, Crump, Farrell and
Feng (2024a) <doi:10.48550/arXiv.1902.09608>, Cattaneo, Crump,
Farrell and Feng (2024b)
<https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_NonlinearBinscatter.pdf>
and Cattaneo, Crump, Farrell and Feng (2024c)
<doi:10.48550/arXiv.1902.09615>. Binscatter provides a flexible
way of describing the relationship between two variables based
on partitioning/binning of the independent variable of
interest. binsreg(), binsqreg() and binsglm() implement
binscatter least squares regression, quantile regression and
generalized linear regression respectively, with particular
focus on constructing binned scatter plots. They also implement
robust (pointwise and uniform) inference of regression
functions and derivatives thereof. binstest() implements
hypothesis testing procedures for parametric functional forms
of and nonparametric shape restrictions on the regression
function. binspwc() implements hypothesis testing procedures
for pairwise group comparison of binscatter estimators.
binsregselect() implements data-driven procedures for selecting
the number of bins for binscatter estimation. All the commands
allow for covariate adjustment, smoothness restrictions and
clustering.
