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agrimarket

A web-scraper to mine data from: https://agmarknet.gov.in/Default.aspx

anand-dube.github.io

website

causal_inf_course

Files for the causal inference course

cereals-network-shocks

Code for Marchand et al. "Reserves and trade jointly determine exposure to food supply shocks"

dhs-indicators-stata

Stata code to produce Demographic and Health Survey Indicators

econometrics

Nicks_course_on_Econometrics

geospatial

google_scholar_metrics

google_scholar_share

imd-rain

imd_rainfall_idw

An Exploratory Analysis of the Monsoon season in several Indian districts

indian-census-2011-

Indian government carries out census every decade. This dataset contains information from the 2011 census with district level granularity on population, gender, literacy, socioeconomic status (electricity,​ ​ mobiles,​ ​ Internet)​ ​ among​ ​ a ​ ​ lot​ ​ of​ ​ other​ ​ dimensions.

machine-learning

Machine Learning and Causal Inference taught by Brigham Frandsen

matching

This repository includes Stata coding for matching estimations, especially propensity score matching.

mattching_of_village_names

Stata/Python code for fuzzy matching of latin script location names in Hindi.

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

new_indian_shape_files

Shape files and Geojson files for various categories of India.

nightlights

Study of NOAA' s DMSP and VIIRS data for Department of Economic Affairs India

nightlightstats

This R package allows calculating user-specified statistics or creating a plot for a region's nightlight data for a given time period. The nightlight data are from the "Earth Observation Group, Payne Institute for Public Policy, NOAA/NCEI" (Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Wea

plot-multiple-time-series

pollution_development

pollution_development

prism_data

weight and aggregate weather data in various ways

saereplication

spatial_first_difference_estimator

Spatial first differences

stata-fundamentals

D-Lab's 9 hour introduction to performing data analysis with Stata. Learn how to program, conduct data analysis, create visualization, and conduct statistical analyses in Stata.

web_scraping_for_dynamic_website