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    Replication Data for: What do cross-country surveys tell us about social...

    • dataverse.harvard.edu
    • dataone.org
    Updated Aug 1, 2022
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    David Tannenbaum; Alain Cohn; Christian L. Zünd; Michel A. Maréchal (2022). Replication Data for: What do cross-country surveys tell us about social capital? [Dataset]. http://doi.org/10.7910/DVN/NDDWHJ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    David Tannenbaum; Alain Cohn; Christian L. Zünd; Michel A. Maréchal
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    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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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
David Tannenbaum; Alain Cohn; Christian L. Zünd; Michel A. Maréchal (2022). Replication Data for: What do cross-country surveys tell us about social capital? [Dataset]. http://doi.org/10.7910/DVN/NDDWHJ

Replication Data for: What do cross-country surveys tell us about social capital?

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 1, 2022
Dataset provided by
Harvard Dataverse
Authors
David Tannenbaum; Alain Cohn; Christian L. Zünd; Michel A. Maréchal
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

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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