Replication Data for: What do cross-country surveys tell us about social capital?
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: What do cross-country surveys tell us about social capital?
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Identifier |
https://doi.org/10.7910/DVN/NDDWHJ
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Creator |
David Tannenbaum
Alain Cohn Christian L. Zünd Michel A. Maréchal |
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Publisher |
Harvard Dataverse
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Description |
Code and data to reproduce all results and graphs reported in Tannenbaum et al. (2022). This folder contains data files (.dta files) and a Stata do-file (code.do) that stitches together the different data files and executes all analyses and produces all figures reported in the paper. The do-file uses a number of user-written packages, which are listed below. Most of these can be installed using the ssc install command in Stata. Also, users will need to change the current directory path (at the start of the do-file) before executing the code. List of user written packages (descriptions): revrs (reverse-codes variable) ereplace (extends the egen command to permit replacing) grstyle (changes the settings for the overall look of graphs) spmap (used for graphing spatial data) qqvalue (used for obtaining Benjamini-Hochberg corrected p-values) parmby (creates a dataset by calling an estimation command for each by-group) domin (used to perform dominance analyses) coefplot (used for creating coefficient plots) grc1leg (combine graphs with a single common legend) xframeappend (append data frames to the end of the current data frame) |
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Subject |
Social Sciences
Social capital Trust Honesty Field Experiment Surveys |
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Contributor |
TANNENBAUM, DAVID
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