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The overall goal of the Baby's First Years study is to assess the causal role played by household income in affecting children's early cognitive, socio-emotional, and brain development. Recent advances in developmental neuroscience suggest that experiences early in life have profound and enduring impacts on the developing brain. Family economic resources shape the nature of many of these experiences, yet the extent to which they affect children's development is unknown. The Baby's First Years project is the first randomized controlled trial to provide estimates of the causal impacts of unconditional cash gifts on the cognitive, socio-emotional, and brain development of infants and young children in low-income U.S. families.

Specifically, 1,000 recruited mothers of infants with incomes below the federal poverty line from four diverse U.S. communities are receiving monthly cash gift payments by debit card. Mothers were initially told the gifts would last for the first 40 months of their child's life, but we have secured funding to continue the payments for three additional years (i.e., for a total of 76 months). Parents in the high cash gift group (n=400 in the study sample) are receiving a cash gift of $333 per month ($4,000 per year), while parents in the low cash gift group (n=600) are receiving a nominal monthly gift payment of $20 ($240 per year), also for 76 months.

In order to measure the impacts of the unconditional cash gift income on children's cognitive and behavioral development, we are assessing high and low cash gift group differences at ages 4, 6, and 8 (and, for a subset of measures, we capture interim development at ages 1, 2, and 3) in measures of cognitive, language, memory, self-regulation, and socio-emotional development. In order to understand the processes by which child impacts emerge, we are measuring a host of family process measures summarized in our pre-registration chart. Our data collection points are referred to as: "baseline", "age 1", "age 2," "age 3", "age 4", "age 6", and "age 8".

Additional information on the project, survey design, sample, variables, and COVID-19 pandemic adjustments are available from:

• The User Guides for Baseline, Age 1, Age 2, Age 3, and Age 4, which are included under the "Data and Documentation" tab
• The project's website: babysfirstyears.com

The researchers request that all peer-reviewed papers using BFY Data:

• be submitted to PubMed https://publicaccess.nih.gov immediately upon acceptance for publication
• include the following citation to the data in their bibliography:

Citation

Magnuson, Katherine A., Kimberly Noble, Greg J. Duncan, Nathan A. Fox, Lisa A. Gennetian, Hirokazu Yoshikawa, and Sarah Halpern-Meekin. Baby's First Years (BFY), New York City, New Orleans, Omaha, and Twin Cities, 2018-2023. ICPSR37871-v8. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], YYYY-MM-DD. http://doi.org/10.3886/ICPSR37871.v8

• and include the following in their acknowledgements:

Acknowledgement

This research uses data from the Baby's First Years study. Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number R01HD087384 and 2R01HD087384. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was additionally supported by the US Department of Health and Human Services, Administration for Children and Families, Office of Planning, Research and Evaluation; Office of Behavioral and Social Sciences Research-Office of the Director, National Institutes of Health; Andrew and Julie Klingenstein Family Fund; Annie E. Casey Foundation; Arnold Ventures; Arrow Impact; BCBS of Louisiana Foundation; Bezos Family Foundation, Bill and Melinda Gates Foundation; Bill Hammack and Janice Parmelee, Brady Education Fund; Chan Zuckerberg Initiative (Silicon Valley Community Foundation); Charles and Lynn Schusterman Family Philanthropies; Child Welfare Fund; Esther A. and Joseph Klingenstein Fund; Ford Foundation; Greater New Orleans Foundation; Heising-Simons Foundation; Holland Foundation; Jacobs Foundation; JPB Foundation; J-PAL North America; Lozier Foundation; New York City Mayor's Office for Economic Opportunity; Perigee Fund; Robin Hood Foundation; Robert Wood Johnson Foundation; Russell Sage Foundation; Sherwood Foundation; Valhalla Foundation; Weitz Family Foundation; W.K. Kellogg Foundation; and three anonymous donors.

Principal Investigators

Katherine Magnuson, PhD; University of Wisconsin-Madison, lead PI social and behavioral science

Kimberly Noble, MD, PhD; Teachers College, Columbia University, lead PI neuroscience

In alphabetical order:

Greg Duncan, PhD; University of California, Irvine

Nathan A. Fox, PhD; University of Maryland

Lisa A. Gennetian, PhD; Duke University Sanford School of Public Policy

Hirokazu Yoshikawa, PhD; New York University

Principal Investigators of Qualitative Substudy

Sarah Halpern-Meekin, PhD; University of Wisconsin-Madison

Katherine Magnuson, PhD; University of Wisconsin-Madison

Study Management

Lauren Meyer, Teachers College, Columbia University; National Project Director

Andrea Karsh, University of California, Irvine; Administrative Director

Matthew Maury, Duke University, Production and Retention Management

Study Co-Investigators

Sarah Black, PhD; University of New Orleans

William Fifer, PhD; Sackler Institute for Developmental Psychobiology, Columbia University Medical Center

Michael Georgieff, MD; University of Minnesota

Joseph Isler, PhD; Columbia University Medical Center

Debra Karhson, PhD; University of New Orleans

Alicia Kunin-Batson, PhD, University of Minnesota

Connie Lamm, PhD; University of Arkansas

Dennis Molfese, PhD; University of Nebraska, Lincoln

Victoria Molfese, PhD; University of Nebraska, Lincoln

Jennifer Mize Nelson, PhD; University of Nebraska, Lincoln

Timothy Nelson, PhD; University of Nebraska, Lincoln

Sonya Troller-Renfree, PhD; Teachers College, Columbia University

Study Data Collectors

The Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, is responsible for recruitment and baseline, age-1, age-2, and age-3 data collection waves. Starting at age-4 through age-8, SRC is responsible for tracking families and assisting site-based staff in locating families. SRC data collection operations are overseen by: Stephanie Chardoul, Director of Survey Research Operations and Piotr Dworak, Senior Survey Specialist, Survey Research Operations.

Contact

To contact the study investigators, email them at [email protected]

Website: babysfirstyears.com

The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The Chitwan Valley [Nepal] Family Study: Labor Outmigration, Agricultural Productivity and Food Security is a three year project with the aim to investigate the consequences of labor outmigration on agricultural productivity in a poor agricultural country persistently facing food security problems. A Data Guide for this study is available as a web page and for download.

This project's data collection is made up of twenty-five datasets:

Datasets 1-6: The Household Agriculture and Migration Survey includes information on household agricultural practices and remittances received by the household. Face-to-face interviews were conducted to collect data from household members who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Topics of the survey include crop production and farm technology use, wealth, assets, income, consumption, food security and information about each household member currently away from home. The survey also collected information on gender, ethnicity, and age.

Datasets 7-16: Measured yields of major crops grown by farm households that previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Dataset 17: A monthly demographic event registry administered to all households that previously participated in the Chitwan Valley Family Study (ICPSR 4538).

Datasets 18-23: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

The collection covered a range of topics including farm work, hygiene, finances, health, and religion. Further, respondents were queried concerning socialization and assisting children and the elderly.

Datasets 24-25: The Women's Time Use Survey was designed and administered to married, Nepalese women to collect information on changes in their time and involvement in agriculture and other activities. Face-to-face interviews and telephone interviews were conducted to collect data from women who previously participated in the Chitwan Valley Family Study (ICPSR 4538).

The English Longitudinal Study of Ageing is a study of aging and quality of life for people over the age of 50. Established in 2002, the original sample was drawn from households that had previously responded to the Health Survey for England (HSE) between 1998 and 2001. The same group of respondents are surveyed every two years to see how their health, economic, and social circumstances may change over time. One of the study's aims is to determine the relationships between functioning and health, social networks, resources, and economic position as people plan for, move into, and progress beyond retirement. It is patterned after the Health and Retirement Study, a similar study based in the United States.

Although new topics can be introduced at different waves, every module has been reviewed to ensure that it will provide data that can measure change over time. This is achieved by repeating some measures exactly, by asking directly about change, and by adopting questions to allow people to update or amend past responses.

The information collected provides data about: Household and individual demographics; Health - physical and psychosocial; Social care (from Wave 6); Work and pensions; Income and assets; Housing; Cognitive function; Social participation; Effort and Reward (voluntary work and caring); Expectations; Walking speed; Weight.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via PSID) directly for details on obtaining the data.

The PSID is the world's longest-running nationally representative household panel survey. With over 50 years of data on the same families and their descendants, the PSID is a cornerstone of the data infrastructure for empirically based social science research in the U.S. PSID gathers data on the family as a whole and on individuals residing within the family, emphasizing the dynamic and interactive aspects of family economics, demography, and health. PSID data were collected annually from 1968-1997 and biennially after 1997. In the Main Interview, one person per family is interviewed on a regular basis. Information about each family member is collected, but much greater detail is obtained about the reference person and, if married/cohabitating, the spouse or long-term cohabitor. Survey content changes to reflect evolving scientific and policy priorities, although many content areas have been consistently measured since 1968. Information includes employment, income, wealth, expenditures, health, education, marriage, childbearing, philanthropy, and numerous other topics. With low attrition and high success in following young adults as they form their own families, the sample size has grown from roughly 5,000 families in 1968 to more than 10,000 families and 24,000 individuals by 2017. Over the course of the study, the PSID has distributed data on more than 80,000 individuals. The long panel, genealogical design, and broad content of the data offer unique opportunities to conduct generational and life-course research. The PSID now contains thousands of inter- and intragenerational relationships over 50 years of data, including:

• "Paired" generational relationships, with each family in the pair providing independent interviews (as of the 2017 wave)
• Parent-Adult Child pairs: ~5,500
• Sibling pairs: ~3,600
• Cousin pairs: ~4,500
• "Tripled" generational relationships, with all three generations providing independent interviews (as of the 2017 wave)
• • Grandparent-Parent-Adult Child triplets: ~1,400

The PSID is the world's longest-running nationally representative household panel survey. With over 50 years of data on the same families and their descendants, the PSID is a cornerstone of the data infrastructure for empirically based social science research in the U.S. PSID gathers data on the family as a whole and on individuals residing within the family, emphasizing the dynamic and interactive aspects of family economics, demography, and health. PSID data were collected annually from 1968-1997 and biennially after 1997.

In the Main Interview, one person per family is interviewed on a regular basis. Information about each family member is collected, but much greater detail is obtained about the reference person and, if married/cohabitating, the spouse or long-term cohabitor. Survey content changes to reflect evolving scientific and policy priorities, although many content areas have been consistently measured since 1968. Information includes employment, income, wealth, expenditures, time use, health, dementia screener, insurance, education, marriage, childbearing, philanthropy, and numerous other topics. Additional types of PSID data are available only under a restricted contract. These include but are not limited to: geospatial data below the level of state; mortality data; Medicare claims; and educational characteristics from the National Center for Education Statistics.

With low attrition and high success in following young adults as they form their own families, the sample size has grown from roughly 5,000 families in 1968 to more than 9,000 families and 24,000 individuals by 2021. Over the course of the study, the PSID has distributed data on more than 84,000 individuals. The long panel, genealogical design, and broad content of the data offer unique opportunities to conduct generational and life-course research.

The PSID now contains thousands of inter- and intragenerational relationships over 50 years of data, including (as of the 2021 wave):

• "Paired" generational relationships, with each family in the pair providing independent interviews
  • Parent-Adult Child pairs: ~4,300
  • Sibling pairs: ~5,200
  • Cousin pairs: ~5,400
• "Tripled" generational relationships, with all three generations providing independent interviews
  • Grandparent-Parent-Adult Child triplets: ~1,000

For information about earlier data collections, see Panel Study of Income Dynamics (PSID): Main Interview, 1968-2015.

In 2021, the main interview was updated to include questions about the impacts of the COVID-19 pandemic, including: loss of earnings, US government stimulus payments, charitable giving, participants' exposure to COVID-19, and vaccination status.