This repository gathers useful resources on some economics, research, programming, GIS, and other miscellaneous topics. Its motivation began after realizing that I had seen so many interesting references in the last year, but failed to save them. This aims to be a tracker of stuff I find useful and hopefully help others in their work.
This repository was inspired by many others, like the ones done by João Pedro Vieira, Ricardo Dahis, etc.
Lastly, comments and suggestions are welcome! You can reach me on my e-mail or my Twitter.
Items here must follow a description rule:
- Resource name, Author: describe it briefly (no more than two sentences). Focus on why it is useful.
Also, keep it simple. Do not fill it with multiple items on the same topic.
Content here is organized by topics:
- Econometrics
- R
- Python and GIS
- Research in Economics
- Miscellaneous
- Environment
-
DiD Handbook: a repository with some Diff-in-Diff methods and when to use each.
-
Dijkstra's Shortest Path Algorithm: in a network, find the shortest path between any two points.
-
Deep Learning for Economists: Melissa Dell's course on deep learning models.
- Awesome Packages: my own list of R packages to use. Categorized into four sections: exploratory data analysis (EDA), data visualization, econometrics, and APIs.
- Pyarrow and Pyogrio: a much faster way to load .gpkg and .shp files in Python. Believe me, this will save you a lot of time.
- Google Earth Engine API: run GEE queries in Pyhton. If you are a VSCode user, check also this. Also, recall to properly set your Google Drive folder. More info here.
- Parallel Processing: use all of your GPUs to run code (especially loops). I wish I had known this years ago. This saves A LOT of time.
- tqdm library: a progress bar with ETA. Useful for big loops.
- gc (Garbage Collection): clean cache to avoid RAM overload. Make sure to collect your gargabe when running heavy loops.
- Zotero: organize papers your read and easily export their citations. A must use for all researchers.
- Tips for Presentations in Applied Micro Talks, by Jesse Shapiro (Harvard University): straightforward tips on it. It has concrete examples of what to do (and what not to do), with some humor.
- Tips on Writing Papers in Economics, by Plamen Nikolov (IZA): complete guide with concrete examples on it. It has suggestions for every part of a paper.
- Writing Papers: A Checklist, by Michael Kremer (University of Chicago): a concise checklist of what a paper must have.
- Paper Template: overleaf TEX template for papers in economics.
- Recent Advances in Applied Micro, by Christine Cai: the state of the art of empirical methods in micro - OLS, RCT, DiD, IV, RDD, Synthetic Control, Matching, Bunching and Decomposition.
- GitHub Copilot (free for students): imagine having a ChatGPT in your IDE? If you are a student, you can have it for free on VSCode.
- ctrees.org: startup that estimates above ground carbon for all forests in the world.
- CHIRPS: daily precipitation estimates for the whole world since the 80s. It uses stationary satelites to do it.
- GISTEMP: monthly estimates of global surface temperature for the whole world since 1800.
- FIRMS: fire data for the whole world (discover the details).
- SRTM: topological rasters for the whole world. Just insert the desired bbox and download the correspondent .tiff file.
- Carbon Rating Agencies: companies that evaluate the quality of carbon removal/reduction projects globally.
- Berkeley Carbon Trading Project: all carbon offests issued by Verra, Gold Standard and ACR with its metadata. Lead by Prof. Barbara Haya.
- SEEG: CO2e emissions estimates for Brazil. Municipality and sector level. From the 70s onwards.
- EMIT: global CO2 emissions rasters.
- Global Urban Polygons and Points Dataset (GUPPD): 1975-2030 urban areas polygons and populations.
- Global Forest Watch: 30m resolutions rasters for forest cover and loss since 2000.
- Global Administrative Areas (GADM): over 400k shapefiles for administrative areas globally.
- HydroATLAS: global database on water resources. Includes shapefiles for all rivers, lakes and watersheds. Also estimates for natural discharge, runoff and other variables.
- Copernicus Atmosphere Monitoring Service (CAMS): Global near-real-time data on atmospheric polution.
- Inter-Sectoral Impact Model Intercomparison Project (ISIMIP): future climate projections up to 2100.