Name File Type Size Last Modified
  Full 09/29/2023 07:27:PM

Project Citation: 

Brot-Goldberg, Zarek, Layton, Timothy, Vabson, Boris, and Wang, Adelina Yanyue. Code for: “The Behavioral Foundations of Default Effects: Theory and Evidence from Medicare Part D.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-09-29. https://doi.org/10.3886/E184423V1

Project Description

Summary:  View help for Summary This is a repository for the code to replicate "The Behavioral Foundations of Default Effects: Theory and Evidence from Medicare Part D" in the American Economic Review.

The abstract of the paper is:

We show in two natural experiments that default rules in Medicare Part D have large, persistent effects on enrollment and drug utilization of low-income beneficiaries. The implications of this phenomenon for welfare and optimal policy depend on the sensitivity of passivity to the value of the default option. Using random assignment to default options, we show that beneficiary passivity is extremely insensitive, even when enrolling in the default option would result in substantial drug consumption losses. A third natural experiment suggests that variation in active choice is driven by random transitory shocks rather than the inherent attentiveness of some beneficiaries.

Scope of Project

Subject Terms:  View help for Subject Terms default; medicare part d; nudge
JEL Classification:  View help for JEL Classification
      D90 Micro-Based Behavioral Economics: General
      I10 Health: General
      I13 Health Insurance, Public and Private
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2007 – 2015
Universe:  View help for Universe Low-Income Subsidy recipients enrolled in the Medicare program, 2007-2015.
Data Type(s):  View help for Data Type(s) administrative records data

Methodology

Data Source:  View help for Data Source CMS Medicare and Medicaid claims and enrollment data
Unit(s) of Observation:  View help for Unit(s) of Observation Person-year and person-quarter, primarily

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