Eight-district sugarcane panel inference pipeline
Year: 2026
Type: software
Abstract: Software companion to the manuscript "Sugarcane Yield Responses to Climate Anomalies across Eight Indian Districts: A State-Stratified Panel Analysis." Python pipeline for state-stratified panel inference on sugarcane yield--climate associations across eight districts in Maharashtra, Karnataka, and Uttar Pradesh (crop years 1998--2014). Implements Models A--H including two-way fixed effects, state-interacted slopes, quantile regression, counterfactual operators, vulnerability indexing, and Mann--Kendall climate trends. Raw IMD and DES data are not distributed; see DATA_ACCESS.md.
Author: Jamadar, Irshad Sikandar
Institution: MIT Art, Design and Technology University
Language: English
Subfield: Agronomy and Crop Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7166319076