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Main Authors: Lundberg, Ian, Cho, Soonhong
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.14770
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author Lundberg, Ian
Cho, Soonhong
author_facet Lundberg, Ian
Cho, Soonhong
contents Scholars of social stratification often study exposures that shape life outcomes. But some outcomes (such as wage) only exist for some people (such as those who are employed). We show how a common practice -- dropping cases with non-existent outcomes -- can obscure causal effects when a treatment affects both outcome existence and outcome values. The effects of both beneficial and harmful treatments can be underestimated. Drawing on existing approaches for principal stratification, we show how to study (1) the average effect on whether an outcome exists and (2) the average effect on the outcome among the latent subgroup whose outcome would exist in either treatment condition. To extend our approach to the selection-on-observables settings common in applied research, we develop a framework involving regression and simulation to enable principal stratification estimates that adjust for measured confounders. We illustrate through an empirical example about the effects of parenthood on labor market outcomes.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14770
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Non-Existent Outcomes in Research on Inequality: A Causal Approach
Lundberg, Ian
Cho, Soonhong
Methodology
Applications
62D20
J.4; G.3
Scholars of social stratification often study exposures that shape life outcomes. But some outcomes (such as wage) only exist for some people (such as those who are employed). We show how a common practice -- dropping cases with non-existent outcomes -- can obscure causal effects when a treatment affects both outcome existence and outcome values. The effects of both beneficial and harmful treatments can be underestimated. Drawing on existing approaches for principal stratification, we show how to study (1) the average effect on whether an outcome exists and (2) the average effect on the outcome among the latent subgroup whose outcome would exist in either treatment condition. To extend our approach to the selection-on-observables settings common in applied research, we develop a framework involving regression and simulation to enable principal stratification estimates that adjust for measured confounders. We illustrate through an empirical example about the effects of parenthood on labor market outcomes.
title Non-Existent Outcomes in Research on Inequality: A Causal Approach
topic Methodology
Applications
62D20
J.4; G.3
url https://arxiv.org/abs/2508.14770