IPUMS Contextual Determinants of Health (CDOH) Gender Measure: Paid Family Medical Leave by State, United States, 2004-2023 (ICPSR 38847)

Version Date: Apr 16, 2024

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Principal Investigator(s):
Claire M. Kamp Dush, University of Minnesota; Wendy D. Manning, Bowling Green State University; David Van Riper, University of Minnesota

Series:

https://doi.org/10.3886/ICPSR38847.v2

Version V2 ()

  • V2 [2024-04-16]
  • V1 [2023-07-13] unpublished
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Summary

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women.

The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website.

Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020.

The Gender measures in this release include state-level paid family and medical leave, which denotes whether a state has a law that guarantees paid family and medical leave for employees. To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

Citation

Kamp Dush, Claire M., Manning, Wendy D., and Van Riper, David. IPUMS Contextual Determinants of Health (CDOH) Gender Measure: Paid Family Medical Leave by State, United States, 2004-2023. Inter-university Consortium for Political and Social Research [distributor], 2024-04-16. https://doi.org/10.3886/ICPSR38847.v2

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Funding

United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development, United States Department of Health and Human Services. National Institutes of Health. Office of the Director., United States Department of Health and Human Services. National Institutes of Health. National Center on Minority Health and Health Disparities

Subject Terms

Geographic Coverage

Smallest Geographic Unit

State

Restrictions

This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To protect respondent privacy, this data collection is restricted from general dissemination. To obtain these files, researchers must agree to the terms and conditions of a Restricted Data Use Agreement in accordance with existing ICPSR servicing policies.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2004 -- 2023

Date of Collection

2004 -- 2023

Data Collection Notes

  1. DS1 is the exact same file as the other "MATCH ID and State FIPS Data" files from the other studies within this IPUMS Contextual Determinants of Health (CDOH) series.

  2. For DS2, the data is limited to the 50 United States and the District of Columbia. There is no data for other U.S. territories.

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Study Purpose

The purpose of this study is to provide researchers the ability to merge the NCHAT (National Couples' Health and Time Study) data with the Contextual Determinants of Health (CDOH).

Study Design

  • DS1 "MATCH ID and State FIPS Data" provides a MATCH_ID variable and STATEFIPS variable to allow users to merge the IPUMS Contextual Determinants of Health (CDOH) data with the NCHAT (National Couples' Health and Time Study).
  • DS2 "Sexism State Paid Family and Medical Leave Data" lists the years in which paid family and medical leave insurance laws were enacted and went into effect. The research team determined whether a state had a law in effect from 2004 through 2023. The dataset starts in 2004 because that was the first year with a state-level family and medical leave in effect (California). Please refer to page 2 of the User Guide for the formula used to create this binary variable. Once the NCHAT data is merged with the IPUMS CDOH data using DS1, it can then be merged with DS2 via the STATEFIPS variable.

Sample

The Contextual Determinants of Health (CDOH) measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020.

Time Method

Longitudinal: Trend / Repeated Cross-section

Universe

Historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women.

Unit(s) of Observation

Group

Data Type(s)

Mode of Data Collection

Description of Variables

DS2 includes 4 variables and 1,020 cases. There are variables for YEAR, STATEFIPS, and STATE. The last variable, INDICATOR_PAID_FAM_LEAVE indicates the presence of a law mandating paid family and medical leave.

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Original Release Date

2023-07-13

Version History

2024-04-16 DS2 (Sexism State Paid Family and Medical Leave Data) was updated to include years 2004-2019 and 2023 and add STATE variable. The study title was also updated to reflect the added years.

2023-07-13 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.

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Notes

  • The 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.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.