Cristobal Young
Associate Professor of Sociology
Cornell University
RECENT BOOK
Multiverse Analysis: Computational Methods for RObust Results
There are many ways of conducting an analysis, but most studies show only a few carefully curated estimates. Applied research involves a complex array of analytical decisions, often leading to a ‘garden of forking paths’ where each choice can lead to different results. By systematically exploring how alternative analytical choices affect the findings, Multiverse Analysis reveals the full range of estimates that the data can support and uncovers insights that single-path analyses often miss.
Cornell University
Associate Professor of Sociology
Cristobal Young works in the overlapping fields of economic sociology, stratification, and quantitative methodology. He studies the social policies that moderate income inequality, ranging from millionaire taxes to unemployment insurance. His methodological work focuses on big administrative data, model uncertainty, and robust results.
