AbdulrasheedIsah

30_Day_Chart_Challenge_2022

R code to the 2022 edition of the 30 Day Chart Challenge

30DayChartChallenge

Repository containing code for the #30DayChartChallenge.

big-data-for-public-policy-2023

Repository for "Big Data for Public Policy" @ ETH Zurich, Spring 2023

chirps-stars

Exploration of CHIRPS data using R and the stars package for handling NetCDF files

codechella

Data, Code and other material for CodeChella concert

Compare-DiD-Estimators

Computational-Social-Science-Training-Program

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

marginaleffects

An R package to compute marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models

python-pandas

General data analysis/cleaning with pandas in python. Often spatial in nature

xtevent

Stata package -xtevent-

AbdulrasheedIsah/panelView_stata

panelView for Stata

AbdulrasheedIsah/ResEcon703

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

AbdulrasheedIsah/mixtape_learnr-ff

AbdulrasheedIsah/paper_template

Template structure for empirical papers.

AbdulrasheedIsah/weather-panel.github.io

A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.

AbdulrasheedIsah/Stata-schemes

Here you will find various ready-to-use Stata schemes.

AbdulrasheedIsah/statapack

A collection of handy Stata programs for empirical analyses

AbdulrasheedIsah/Structural-Equation-Modeling-foR-Psychologists

Lesson files used in the Structural Equation Modeling for Psychologists.

AbdulrasheedIsah/ietoolkit

Stata commands designed for Impact Evaluations in particular, but also data work in general

AbdulrasheedIsah/exactextractr

R package for fast and accurate raster zonal statistics

AbdulrasheedIsah/geoda

GeoDa: An introduction to spatial data analysis

AbdulrasheedIsah/templates

Templates of all kind

AbdulrasheedIsah/otree_classroom_experiments_public

Experiments with live results for behavioural economics classes

AbdulrasheedIsah/mastering-shiny

Mastering Shiny: a book

AbdulrasheedIsah/SpatialRDD

SpatialRDD

AbdulrasheedIsah/did_imputation

Event studies: robust and efficient estimation, testing, and plotting

AbdulrasheedIsah/da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

AbdulrasheedIsah/synthdid

Synthetic difference in differences

AbdulrasheedIsah/Sample_Size_and_Power

Sample code for conducting power calculations using in-built commands and simulations

AbdulrasheedIsah/dime-data-handbook

Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones

AbdulrasheedIsah/codechella

Data, Code and other material for CodeChella concert

AbdulrasheedIsah/metaplots-metadata

Explore data on NBER working papers

AbdulrasheedIsah/R-data-wrangling

Materials for my my R data workshop. https://cengel.github.io/R-data-wrangling/

AbdulrasheedIsah/R-spatial

Materials for my my R data workshop. https://cengel.github.io/R-spatial/

AbdulrasheedIsah/intro-r-spatial-analysis

Material for 1 day Introductory Course on Using R (& RStudio) for Spatial Analysis

AbdulrasheedIsah/PromotionskollegModule6800_2020

Course material and links for Promotionskolleg module "Machine learning in applied economics"

AbdulrasheedIsah/data-class

Course materials for a series of lectures that give an introduction to working with data and computation.

AbdulrasheedIsah/chirps-stars

Exploration of CHIRPS data using R and the stars package for handling NetCDF files

AbdulrasheedIsah/python-pandas

General data analysis/cleaning with pandas in python. Often spatial in nature