Burkhauser and Cawley 2004 — Obesity, Disability, and Movement Onto the Disability Insurance Rolls

disability-insuranceobesityBMIinstrumental-variableswork-limitationsPSIDNLSYcausal-inferencehealthlabor-supply

Summary

Burkhauser and Cawley (2004) use two-stage least squares (2SLS) with biological relatives' weight as an instrument for own body mass index (BMI) to estimate the causal effect of obesity on self-reported work limitations and disability income receipt among working-age adults (ages 25–44) in the Panel Study of Income Dynamics (PSID) and National Longitudinal Survey of Youth 1979 (NLSY79). Ordinary least squares (OLS) and linear probability estimates are severely downward-biased relative to 2SLS — by a factor of 5515×15\times — due to measurement error in BMI and endogeneity from reverse causation (disability reducing mobility and raising weight). The 2SLS estimates show obesity causally raises disability income receipt by roughly 7799 percentage points (pp) for men (NLSY) and women (PSID and NLSY). The paper contextualizes these findings in the parallel doubling of both obesity rates and Disability Insurance (DI) rolls since the early 1980s, and documents the Social Security Administration's (SSA) administrative history of the obesity Listing — deleted in 1999, restored via Social Security Ruling (SSR) 02-1p in September 2002.

Key Claims

Concepts Introduced or Extended

Entities Mentioned

Quotes

"OLS and logit estimates of the impact of obesity on these outcomes are severely downward biased."

"A one-unit increase in the probability of being obese leads to a [5–9 percentage point] increase in the probability of disability income receipt."

My Take

Strong IV design and the OLS-to-2SLS divergence is striking and methodologically important — the paper establishes that conventional estimates massively understate the obesity-disability link. However, results are mixed: several subgroup estimates are insignificant, the NLSY disability income variable is household-level and may capture a spouse's income, and the sample is limited to ages 25–44 (DI is most prevalent at 50–64). The paper remains a working paper (MRRC 2004-089), not peer-reviewed. Despite these limitations, it is the first IV-based study of obesity-to-DI causality and provides the clearest available evidence that the doubling of obesity rates since the 1980s contributed causally — not merely correlationally — to rising DI receipt.