Do Ordeals Work for Selection Markets? Evidence from Health Insurance Autoenrollment

Working Paper: NBER ID: w30781

Authors: Mark Shepard; Myles Wagner

Abstract: Are application hassles, or “ordeals,” an effective way to limit public program enrollment? We provide new evidence by studying (removal of) an auto-enrollment policy for health insurance, adding an extra step to enroll. This minor ordeal has a major impact, reducing enrollment by 33% and differentially excluding young, healthy, and economically disadvantaged people. Using a simple model, we show that adverse selection – a classic feature of insurance markets – undermines ordeals’ standard rationale of excluding low-value individuals, since they are also low-cost and may not be inefficient. Our analysis illustrates why ordeals targeting is unlikely to work well in selection markets.

Keywords: health insurance; autoenrollment; ordeals; public programs; adverse selection

JEL Codes: D90; I11; I13; I14; I18


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Removal of autoenrollment (H55)Increase in enrollment hassles (I23)
Increase in enrollment hassles (I23)Decrease in health insurance takeup (G52)
Removal of autoenrollment (H55)Decrease in health insurance takeup (G52)
Exclusion of lower-risk individuals (G52)Higher-cost risk pool (G52)
Enrollment hassles (I19)Inefficient targeting in selection markets (D49)

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