Doubled-Up Estimate Coding

This project aims to improve how we measure “doubled-up homelessness,” which is when people temporarily stay with family or friends because they don’t have a stable place to live. Dr. Richard worked with community partners to use public American Community Survey (ACS) (Census Bureau) data to estimate doubling up. However, the estimates can have low levels of reliability due to the small sample size of the public-use ACS files. To address this limitation, Dr. Richard wants to apply to use the larger, restricted-use datasets, but needs help creating variables (described more below) not directly provided within this dataset (but that can be created using source variables). Broadly, the goal of the project is to develop the code needed to get more precise estimates of how many people are affected by this form of homelessness.