A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW, CBPS, Ranking, and Post-Stratification Methods
TL;DR AI
2 min readKey summary
A tutorial shows how to correct survey sample bias using Facebook Research’s balance library.
It simulates a population, draws a biased sample, and tests reweighting methods to reduce imbalance.
Methods compared include inverse probability weighting, CBPS, ranking, and post-stratification.
The analysis checks covariate balance, ASMD, design effect, and how well estimates recover population values.