In this post, I am sharing Python libraries that, I think, you should master for spatial analysis, economics, and econometrics. These tools are essential for handling geospatial data, performing econometric modeling, and extracting meaningful insights from complex datasets. Libraries like GeoPandas enable efficient spatial data manipulation and mapping, while PySAL provides advanced spatial econometrics capabilities. Statsmodels is crucial for statistical modeling and hypothesis testing, and pandas remains foundational for data cleaning and transformation. In addition, NumPy supports efficient numerical computing, and SciPy extends this with a broad set of scientific and statistical routines that are often used in econometric workflows.…
BFI Working Papers: https://bfi.uchicago.edu/working-papers/ Sharing research in progress—and refining it through rigorous discussion and debate—is a hallmark of scholarship at the Becker Friedman Institute for Economics. The Alternative Fuels Data Center offers a large collection of helpful tools. These calculators, interactive maps, and data searches can assist fleets, fuel providers, and other transportation decision makers in their efforts to advance alternative fuels and energy-efficient vehicle technologies. https://afdc.energy.gov/tools https://opendata.atlantaregional.com/ ARC’s Open Data and Mapping Hub offers data accessibility and exploration while showcasing web maps, story maps, dashboards and tools across ArcGIS Online and other platforms. Our Hub is driven by live…
Economics Literature Search: https://paulgp.com/econlit-pipeline/index.html. This tool lets you search the full text of papers from the American Economic Review, American Economic Journal series, and over 30,000 NBER working papers. It turns out that tracking how empirical methods spread through economics is actually pretty important — but also kind of a pain to do manually. Conferences and Workshops in Energy Economics: European and other international conferences where CEPE researchers participate, present and discuss their latest research with colleagues from around the world. https://cepe.ethz.ch/news-and-events/conferences-and-workshops.html Python tools for forest inventory analysis: https://fiatools.org/: A unified ecosystem for working with USDA Forest Service FIA data—from raw survey plots to…
Projoint: The One-Stop Conjoint Shop: https://yhoriuchi.github.io/projoint/index.html Conjoint survey designs are spreading across the social sciences due to their unusual capacity to estimate many quantities of interest from a single randomized experiment. Projoint is general-purpose software for the design, implementation, and analysis of conjoint surveys. Its easy-to-use components include a drag-and-drop web-based application for survey design and an R package for analysis. (Information copied from original source on Nov 3, 2025). Strategies for Essay Writing from Harvard College Writing Center: https://writingcenter.fas.harvard.edu/sites/g/files/omnuum451/files/2024-03/Strategies%20for%20Essay%20Writing–Complete_0.pdf This document has several tips for new writers, whether you are writing assignments, thesis, or dissertation. This document is broken into several…
As a researcher, I use several tools for research. Not all resources are continuously being used. Several resources are used for a while and left untouched for a long time. This result into lost of memory, until someone else point back to it. I am unable to keep track of these resources all the time. To solve this problem, I am writing posts under the name “Five Research Resource Series” whenever I get time and compile enough research to develop as a blog post. In each post, I will include five items and write a brief summary of each item…
