Difference-in-differences for categorical outcomes.

ABSTRACT:

Objective

To discuss and develop difference-in-difference estimators for categorical outcomes and apply them to estimate the effect of the Affordable Care Act's Medicaid expansion on insurance coverage.

Data sources

Secondary analysis of Survey on Income and Program Participation (SIPP) data on health insurance coverage types before (January 2013) and after (December 2015) Medicaid expansion in 39 US states (19 expansion and 20 non-expansion).

Study design

We develop difference-in-difference methods for repeated measures (panel data) of categorical outcomes. We discuss scale-dependence of DID assumptions for marginal and transition effect estimates and specify a new target estimand: the difference between outcome category transitions under treatment versus no treatmen

SUBMITTER: Graves JA 

PROVIDER: S-EPMC9108044 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature