Health Reform Monitoring Survey, Third Quarter 2014 (ICPSR 36208)

Principal Investigator(s): Holahan, John, Urban Institute; Long, Sharon, Urban Institute


In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a quarterly survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the seventh round of the survey (third quarter 2014) include self-reported health status, health insurance coverage, access to and use of health care, health care affordability, and awareness of various provisions of the ACA. Additional information collected by the survey includes income, employment status, age, education, race, Hispanic origin, United States citizenship, gender, housing type, marital status, home ownership, internet access, and sexual orientation.

Series: Health Reform Monitoring Survey (HRMS) Series

Access Notes

  • One or more files in this data collection have special restrictions ; consult the restrictions note to learn more. You can apply online for access to the restricted-use data. A login is required to apply.

    As explained in the ICPSR Processing notes in the codebook, ICPSR restricted three variables from general dissemination for reasons of confidentiality. Users interested in obtaining the restricted data must complete an Agreement for the Use of Confidential Data, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research. Apply for access to the restricted data through the ICPSR restricted data contract portal, which can be accessed via the study home page.

    Any public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • These data have been updated since their release as, which you used to locate the data. If you need access to a previous version of the data (e.g., to replicate results in an article or report), you can contact ICPSR User Support to find out if a prior version is available.


Dataset - Download All Files (44.05 MB)
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Study Description


Holahan, John, and Sharon Long. Health Reform Monitoring Survey, Third Quarter 2014. ICPSR36208-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-05-09.

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This study was funded by:

  • Ford Foundation
  • Urban Institute
  • Robert Wood Johnson Foundation (71390)

Scope of Study

Subject Terms:    health, health care access, health care costs, health care reform, health care services, health insurance

Geographic Coverage:    United States

Time Period:   

  • 2014-09-11--2014-09-30

Date of Collection:   

  • 2014-09-11--2014-09-30

Universe:    Household population aged 18-64.

Data Type(s):    survey data

Data Collection Notes:

The principal investigators did not provide many of the variables collected in the seventh round, specifically, the open-ended response variables, the variables for the Questions TQ4E to TQ4H, the variables from the questionnaire module on child health care (Questions QS1 to QS31), and many variables from the KnowledgePanel profile questionnaire.

The Stata version of the data file, which is the original data format provided by the principal investigators, is declared as multiple imputation data (mi set).

The Stata setup is encoded with UTF-8.

More information about this survey is available on the HRMS Web site.

The record layout file and Stata setup apply to both the public- and restricted-use plain text versions of the data.


Sample:    Each quarter, a stratified random sample of adults ages 18-64 is drawn from the KnowledgePanel, a probability-based, nationally represented Internet panel maintained by GfK Custom Research. The approximately 55,000 adults in the panel include households with and without Internet access. Panel members are recruited from an address-based sample frame derived from the United States Postal Service Delivery Sequence File, which covers 97 percent of United States households. The HRMS sample includes a random sample of approximately 7,500 nonelderly adults per quarter, including oversamples of adults with family incomes at or below 138 percent of the federal poverty line and adults from selected state groups based on (1) the potential for gains in insurance coverage in the state under the ACA as estimated by the Urban Institute's microsimulation model and (2) states of specific interest to the HRMS funders. Additional funders have supported oversamples of adults from individual states or subgroups of interest including children. However, ICPSR received data only for adults in the general national sample and the income and state group oversamples.

Weight:    The HRMS weights reflect the probability of sample selection from the KnowledgePanel and post-stratification to the characteristics of nonelderly adults in the United States based on benchmarks from the Current Population Survey and the Pew Hispanic Center Survey. Variables used in the post-stratification weighting of the KnowledgePanel and the post-stratification weighting of the HRMS include sex, age, race and ethnicity, primary language, education, presence of children in households, household income, family income as a percentage of FPL, homeownership status, internet access, urban or rural status, state group, and census region.

Mode of Data Collection:    web-based survey

Response Rates:    The HRMS response rate is roughly five percent each quarter.

Extent of Processing:   ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.


Original ICPSR Release:   2015-07-23

Version History:

  • 2017-05-09 The principal investigators added a new weight variable to the data file and the technical documentation was updated accordingly.

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