PYCONVERTU: Stata module to convert a string variable into a classification from the default or user-provided JSON file with the help of Python 3

Ilya Bolotov

Statistical Software Components from Boston College Department of Economics

Abstract: The command can, for example, easily transform country names in English to ISO 3-, 2-letter or numeric codes or build dimensions for a balanced panel dataset for the whole world (as of ISO's list of countries) in three lines of Stata code. Ancillary files contain extended ISO 639 (language), 3166 (country), and 4217 (currency) classifications with names in four languages.

Language: Stata
Requires: Stata version 16 and Python 3
Keywords: data management; country codes; ISO; Python (search for similar items in EconPapers)
Date: 2021-01-04, Revised 2023-04-28
Note: This module should be installed from within Stata by typing "ssc install pyconvertu". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pyconvertu.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pyconvertuFile- ... /classification.json sample code (text/plain)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
http://fmwww.bc.edu/repec/bocode/p/pyconvertu.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/i/iso0639-2_all.json sample code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/iso3166-1_all.json sample code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/iso4217-2022_all.json sample code (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458892

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().