DOI: 10.3886/icpsr38847.v2
title: IPUMS Contextual Determinants of Health (CDOH) Gender Measure: Paid Family Medical Leave by State, United States, 2004-2023
title: Version 2

description: 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 <b>STATEFIPS</b> variable.
description: 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).
description: DS1 "MATCH ID and State FIPS Data" provides a <b>MATCH_ID</b> variable and <b>STATEFIPS</b> 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 <b>STATEFIPS</b> variable.
description: DS2 includes 4 variables and 1,020 cases. There are variables for <b>YEAR</b>, <b>STATEFIPS</b>, and <b>STATE</b>. The last variable, <b>INDICATOR_PAID_FAM_LEAVE</b> indicates the presence of a law mandating paid family and medical leave.
description: 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.
description: Datasets: 
DS0: Study-Level Files
DS1: MATCH ID and State FIPS Data
DS2: Sexism State Paid Family and Medical Leave Data
description: Historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. Smallest Geographic Unit: State
description: record abstractsDS1 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.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.