Stata coding guide
My Stata Coding Guide describes how to set up a robust coding environment and write a “push-button” analysis that reproduces all results from raw data. The guide includes a companion replication package that can serve as a template for other research projects.
Multiple hypothesis testing
My Stata command wyoung
(coauthored with Damon Jones and David Molitor) adjusts p-values for the number of hypotheses being tested. For usage instructions, follow the instructions and examples in the Stata help file or the wyoung
GitHub repository. For details about the algorithm we employ, consult the technical documentation, which includes results from numerical simulations. See Jones, Molitor, and Reif (2019) and Reif et al. (2020) for examples of how to use wyoung
in research.
Software packages
Source code and installation instructions for all my software packages are available on GitHub. Stata packages can be installed using the ssc
command. For example, type ssc install regsave, replace
at the Stata prompt to install the regsave
package. To install the latest version of all my Stata packages, execute the following code:
foreach cmd in appendfile autorename regsave rscript sortobs strgroup svret texsave wyoung {
ssc install `cmd', replace
* Uncomment the following line to install the latest developer's version
*net install `cmd', from("https://raw.githubusercontent.com/reifjulian/`cmd'/master") replace
}
Package descriptions
Package | Language | Description |
---|---|---|
C++ |
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Stata |
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Stata |
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Stata |
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Stata |
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Stata |
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Stata/C |
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Stata |
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Stata |
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Stata |
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