https://github.com/vavalomi/stata_tools
Useful Stata routines
https://github.com/vavalomi/stata_tools
bestreg bioprobit egen elmo fastgini gconc gicurve gidecomposition inequality lookfor movestay poverty ppreg sedecomposition stata stata-journal-article stata-routines switch-probit xml-tab
Last synced: 3 months ago
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Useful Stata routines
- Host: GitHub
- URL: https://github.com/vavalomi/stata_tools
- Owner: vavalomi
- Created: 2019-05-16T19:09:19.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-22T15:58:03.000Z (over 1 year ago)
- Last Synced: 2025-01-07T13:29:27.018Z (4 months ago)
- Topics: bestreg, bioprobit, egen, elmo, fastgini, gconc, gicurve, gidecomposition, inequality, lookfor, movestay, poverty, ppreg, sedecomposition, stata, stata-journal-article, stata-routines, switch-probit, xml-tab
- Language: Stata
- Homepage:
- Size: 145 KB
- Stars: 16
- Watchers: 2
- Forks: 17
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
## Set of Stata routines for poverty and inequality analysis
- **egen_inequal**: module providing extension functions for -egen- command to generate inequality and poverty measures
- **fastgini**: calculate Gini coefficient with jackknife standard errors
- **gicurve**: generate growth incidence curve and calculates a measure of the rate of pro-poor growth
- **gidecomposition**: growth and inequality decomposition
- **pov_robust**: poverty stochastic dominance analysis
- **sedecomposition**: sectoral decomposition of poverty changes
- **gconc**: generalized measures of concentration
## Endogenous variables and maximum likelihood estimation
- **movestay**: endogenous switching regression. [Stata Journal article](https://www.stata-journal.com/article.html?article=st0071)
- **switch_probit**: binary choice models with binary endogenous regressors. [Stata Journal article](https://www.stata-journal.com/article.html?article=st0233)
- **bioprobit**: bivariate ordered probit regression
- **bestreg**: best variable subset selection
- **xml_tab**: print-ready tables in Stata. [Stata Journal article](https://www.stata-journal.com/article.html?article=dm0037)
- **lookfor_all**: search for variables/patterns in .dta files
- **ppreg**: efficient estimation of regressions based on pseudo-panel data