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takaakikishida/README.md

About me:

  • PhD student in Economics at the Institute of Economics and Econometrics, University of Geneva.
  • R and GIS enthusiast, diving deep into causal inference. Equally adept with Stata.
  • Interested in Development and Environmental Economics.

Featured works:

Explorations in R:

  • Summary Stats {easysum} has several wrapper functions for quick and insightful summary statistics.
  • Shiny App Interactive map of my favorite places in Switzerland, hosted on shinyapps.io.
  • R-GIS Raster (GeoTiff/NetCDF) Analysis in R: An Example of Air Pollution (coming soon).
  • R-basic Solutions for exercises from Kosuke Imai's Quantitative Social Science. Created in my 2nd year of learning R in 2018.

Pinned Loading

  1. easysum easysum Public

    A package of user-friendly summary statistical functions designed for all data analysts, especially economists and other social scientists.

    R 3

  2. Textbook-Solution-Code-for-Quantitative-Social-Science-An-Introduction Textbook-Solution-Code-for-Quantitative-Social-Science-An-Introduction Public

    A first-year master's student creates this page and provides code for end-of-chapter exercises. The textbook is "Quantitative Social Science: An Introduction" by Kosuke Imai.

    R 20 9

  3. stata_binsreg_visual_tweaks.md stata_binsreg_visual_tweaks.md
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    This gist provides a quick guide on how to adjust the layout of a [Cattaneo et al (2024, AER)](https://www.aeaweb.org/articles?id=10.1257/aer.20221576&from=f)'s binscatter plot using Stata, ideal for clearer and more effective graphical presentations. Inspired by [Henderson and Turner (2020, JEP)](https://www.aeaweb.org/articles?id=10.1257/jep.34.3.150).
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    <img width="350" alt="binsreg_example" src="https://gist.github.com/assets/37149906/9e9733d0-ab88-415b-b25b-5b7af6ab8712">
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