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Study of the Response of Small Businesses to State Health Insurance Exchanges, 2012-2013

Resource Type
Dataset : survey data
  • McLaughlin, Catherine (Mathematica Policy Research)
Other Title
  • Archival Version (Subtitle)
Publication Date
Funding Reference
  • Robert Wood Johnson Foundation
Free Keywords
Affordable Care Act; employee benefits; health care costs; health care reform; health insurance; Small Business Health Options Program (SHOP); small business tax credit; small businesses
  • Abstract

    This survey studied small businesses' health insurance offerings and their owners' knowledge about health insurance exchanges and other Affordable Care Act provisions in five of the states participating in the Robert Wood Johnson Foundation's State Health Reform Assistance Network: Alabama, Colorado, Minnesota, New York and Oregon. Statewide online and computer-assisted telephone interviews provided baseline information -- before the establishment of the ACA's individual or Small Business Health Options Program (SHOP) exchanges -- on the types of health insurance offered by small firms with 3 to 100 employees, which workers were offered insurance, and the cost of that coverage to the employer and employee. Other topics covered by the survey include the firms' characteristics, reasons for offering or not offering health insurance, claims for the ACA small business tax credit, general impressions of the ACA, changes the firms made to their health insurance benefits in response to ACA provisions, and whether the availability of coverage in the new individual and SHOP exchanges would influence their decisions to offer health insurance in the future.
  • Methods

    The data file contains a single weight, the variable WT_SBHIX_Final, designed to produce state-specific estimates. WT_SBHIX_Final adjusts for the disproportionate selection of firms within strata, nonresponse to eligibility determination (either because a firm could not be located or refused to provided information on eligibility), and nonresponse to the interview among eligible firms.
  • Methods

    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..
  • Methods

    Response Rates: 48 percent
  • Table of Contents


    • DS1: Dataset
Temporal Coverage
  • 2012-10-31 / 2013-09-09
    Time period: 2012-10-31--2013-09-09
  • 2012-10-31 / 2013-09-09
    Collection date: 2012-10-31--2013-09-09
Geographic Coverage
  • Alabama
  • Colorado
  • Minnesota
  • New York (state)
  • Oregon
  • United States
Sampled Universe
Firms with 3 to 10 employees in Alabama, Colorado, Minnesota, New York, and Oregon.
A stratified random sample of firms with 3 to 100 employees was selected from the Dun and Bradstreet database. The sample was stratified by state (Alabama, Colorado, Minnesota, New York, and Oregon) and number of employees (3 to 5, 6 to 10, 11 to 15, 16 to 20, 21 to 25, 26 to 50, 51 to 75, and 76 to 100), 40 strata in all.
Collection Mode
  • computer-assisted telephone interview (CATI), web-based survey

    The principal investigator recoded many variables for reasons of confidentiality.

Funding insitution(s): Robert Wood Johnson Foundation (69974).
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (
Alternative Identifiers
  • 35246 (Type: ICPSR Study Number)
  • Is previous version of
    DOI: 10.3886/ICPSR35246.v1

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

McLaughlin, Catherine (2015): Study of the Response of Small Businesses to State Health Insurance Exchanges, 2012-2013. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.