CATERPILLAR: Stata module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution

Laura Bellows () and Paul von Hippel
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Laura Bellows: Duke University

Statistical Software Components from Boston College Department of Economics

Abstract: caterpillar takes a set of estimates and est standard errors se, along with a unique identifier id for each estimate. The estimates may represent the effects of different programs (as in von Hippel & Bellows, 2017) or the results of different studies (as in a meta-analysis). caterpillar outputs a "caterpillar plot" containing point estimates (sorted in ascending order), along with 95% pointwise confidence intervals, Bonferroni-corrected 95% confidence intervals, and an estimate of the null distribution. The null distribution represents what the distribution of estimates would look like under homogeneity -- i.e., if there were no differences between the effects, and the estimates differed only because of random estimation error.

Language: Stata
Requires: Stata version 13
Keywords: caterpillar; estimates; precision; confidence intervals (search for similar items in EconPapers)
Date: 2017-06-23, Revised 2020-02-02
Note: This module should be installed from within Stata by typing "ssc install caterpillar". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/c/caterpillar.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/caterpillar.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/v/vonhippelbellows2018.do program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/caterpillar_replication.dta sample data file (application/x-stata)

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