Do educational reforms increase or decrease health inequalities: A matter of methods?

Area of Science:

• Public Health
• Health Economics
• Social Epidemiology

Background:

• Evaluating social policies' impact on health inequalities is complex.
• Upstream social determinants can alter population socioeconomic distribution.
• Failure to account for these changes biases effect estimation.

Purpose of the Study:

• To illustrate bias in health inequality impact assessments when policies change socioeconomic distribution.
• To demonstrate how ignoring compositional changes leads to incorrect counterfactual outcomes.
• To estimate the magnitude of bias using a microsimulation study.

Main Methods:

• Analysis of health inequality impact assessment procedures.
• Illustration of bias in counterfactual outcome estimation.
• Microsimulation study to quantify bias under various conditions.

Main Results:

• Analyses ignoring compositional changes yield biased results.
• The true impact on health inequalities is often underestimated.
• Bias can even reverse the direction of the observed causal effect.

Conclusions:

• Standard methods may inaccurately assess policy effects on health inequalities.
• Compositional changes significantly impact health inequality evaluations.
• Simulation methods are crucial for accurate assessment of such policies.