Risk Adjustment of Health Plan Payments to Correct Inefficient Plan Choice from Adverse Selection / Jacob Glazer, Thomas McGuire, Julie Shi.

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Glazer, Jacob

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w19998.Publication details: Cambridge, Mass. National Bureau of Economic Research 2014.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: This paper develops and implements a statistical methodology to account for the equilibrium effects (aka adverse selection) in design of risk adjustment formula in health insurance markets. Our setting is modeled on the situation in Medicare and the new state Exchanges where individuals sort themselves between a discrete set of plan types (here, two). Our "Silver" and "Gold" plans have fixed characteristics, as in the well-known research on selection and efficiency by Einav and Finkelstein (EF). We build on the EF model in several respects, including by showing that risk adjustment can be used to achieve the premiums that will lead to efficient sorting. The target risk adjustment weights can be found by use of constrained regressions, where the constraints in the estimation are conditions on premiums that should be satisfied in equilibrium. We illustrate implementation of the method with data from seven years of the Medical Expenditure Panel Survey.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w19998 (Browse shelf(Opens below))	Not For Loan

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March 2014.

This paper develops and implements a statistical methodology to account for the equilibrium effects (aka adverse selection) in design of risk adjustment formula in health insurance markets. Our setting is modeled on the situation in Medicare and the new state Exchanges where individuals sort themselves between a discrete set of plan types (here, two). Our "Silver" and "Gold" plans have fixed characteristics, as in the well-known research on selection and efficiency by Einav and Finkelstein (EF). We build on the EF model in several respects, including by showing that risk adjustment can be used to achieve the premiums that will lead to efficient sorting. The target risk adjustment weights can be found by use of constrained regressions, where the constraints in the estimation are conditions on premiums that should be satisfied in equilibrium. We illustrate implementation of the method with data from seven years of the Medical Expenditure Panel Survey.