Below are links to a few scripts, sub-routines, and software packages that I've found helpful for analyzing data and conducting empirical research. The only disclaimer is that all of my own scripts are provided "as is".
TextMate - without a doubt, the best text editor for programming in Mac OS X. Packages in LaTeX, Stata, and Python provide seamless integration with LaTeX and other statistical software packages is unparalleled.
STATA and LaTeX
- listtex - a useful command for creating summary statistics tables from STATA .dta files and writing them to .tex files.
- estout - great suite of commands for creating tables of estimation results in STATA and exporting them to .tex files.
Maps in STATA
- spmap - very handy for visualizing georeferenced datasets.
GIS in Python
- dbf_to_csv.py -
a simple script for converting DBF files into CSV files.
- rasterClip.py - a script for clipping raster files, using GDAL.
- zonalStats.py - a script for looping across multiple raster files, creating zonal statistics for each of them. Requires ArcView.
- zonalStats_open.py - a similar script for batch-creating zonal statistics. This uses a Python package (rasterstats) and is entirely open source.