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Reproducibility package for Health Care Rationing in Public Insurance Programs: Evidence from Medicaid

2022
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Reference ID
PP_USA_2022_EXT-4_v01
DOI
https://doi.org/10.3886/E134661V1
Author(s)
Timothy J. Layton, Nicole Maestas, Daniel Prinz, Boris Vabson
Collections
Journal articles
Metadata
JSON
Created on
Jul 06, 2023
Last modified
Jul 19, 2023
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    We study two mechanisms used by public health insurance programs for rationing health care: outsourcing to private managed care plans and quantity limits for prescription drugs. Leveraging a natural experiment in Texas’s Medicaid program, we find that the shift to managed care and the relaxation of a strict drug cap increased access to high-value drugs and outpatient services and reduced avoidable hospitalizations. Program costs increased significantly, indicating a trade-off between cost and quality. We provide suggestive evidence attributing the reduction in hospitalizations to the relaxation of the drug cap and much of the spending increase to the shift to managed care.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/21/download/34/README.pdf
    Reproducibility package (code) for Health Care Rationing in Public Insurance Programs
    Title
    Reproducibility package (code) for Health Care Rationing in Public Insurance Programs
    Date
    2022-11
    Software
    Stata
    Dependencies
    reghdfe, coefplot, estout, espmap, elixhauser
    Instructions
    See readme in the reproducibility package
    Repository
    AEA data and code repository (ICPSR)
    Notes
    Could not be checked externally due to the confidentiality of the data.
    License
    Name URL
    Creative Commons Attribution 4.0 International (CC BY 4.0) License https://creativecommons.org/licenses/by/4.0/
    Source code repository
    Repository name URI
    AEA Data and Code Repository https://www.openicpsr.org/openicpsr/aea
    Software
    Stata
    Name
    Stata
    Version
    15

    Reproducibility

    Technology environment

    Cluster size: 300 G and Equivalent RAM
    Disk Size: 1,000 G
    Memory Size: 200 G

    Technology requirements

    Time requirement: 4 days

    Reproduction instructions

    A readme file with detailed instructions is part of the (external) reproducibility package.

    Data

    Data statement

    We obtained the Medicaid Analytic eXtract (MAX) through Data Use Agreement (DUA) 25543 from the Centers for Medicare and Medicaid Services (CMS) through the National Bureau of Economic Research (NBER). The data are confidential, but may be obtained with Data Use Agreements with the Centers of Medicaid and Medicare Services (CMS). The Clinical Classifications Software (CCS) is included in the replication package. The RED BOOK classifications associated with Truven Health’s MartketScan data are proprietary and confidential. We used geographic data on counties in our analysis that can be found under /raw/counties/data/ and we used geographic data on zipcodes in our analysis that can be found under /raw/zipcodes/data/ in the replication package. The Medicaid State Drug Utilization Data is freely available online from https://www.medicaid.gov/ medicaid/prescription-drugs/state-drug-utilization-data/index.html. The data must be loaded under /raw/state_drug_utilization_data/data/.

    Confidentiality

    Yes, please refer to the data statement and the readme file.

    Description

    Output
    Health Care Rationing in Public Insurance Programs: Evidence from Medicaid
    Type
    Published Paper
    Title
    Health Care Rationing in Public Insurance Programs: Evidence from Medicaid
    Authors
    Timothy J. Layton, Nicole Maestas, Daniel Prinz, Boris Vabson
    URL
    https://www.aeaweb.org/articles?id=10.1257/pol.20190628
    DOI
    https://doi.org/10.1257/pol.20190628
    Authors
    Author Affiliation Email
    Timothy J. Layton Harvard University and NBER layton@hcp.med.harvard.edu
    Nicole Maestas Harvard University and NBER maestas@hcp.med.harvard.edu
    Daniel Prinz World Bank and Institute for Fiscal Studies dprinz@worldbank.org
    Boris Vabson Harvard University vabson@hcp.med.harvard.edu
    Contributors
    Agency Name Role Affiliation
    Francoise Becker Data assistance Social Security Administration (SSA)
    Julia Yates RA
    Date of production

    2022-11

    Scope and coverage

    Geographic locations
    Location Code
    United States of America USA
    Topics
    ID Topic Vocabulary Vocabulary URI
    G22 Insurance • Insurance Companies • Actuarial Studies JEL Classifications
    H75 State and Local Government: Health • Education • Welfare • Public Pensions JEL Classifications
    I13 Health Insurance, Public and Private JEL Classifications
    I18 Government Policy • Regulation • Public Health JEL Classifications
    I38 Government Policy • Provision and Effects of Welfare Programs JEL Classifications

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Creative Commons Attribution 4.0 International (CC BY 4.0) License https://creativecommons.org/licenses/by/4.0/

    Contacts

    Contacts
    Name Role Affiliation Email URI
    Daniel Prinz Author World Bank and Institute for Fiscal Studies dprinz@worldbank.org
    Reproducibility WBG reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation
    Krestel CK World Bank
    Date of Production

    2023-07-04

    Document version

    1

    Citation

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