Panel Study of Income Dynamics (PSID) Competition

The summary for the Panel Study of Income Dynamics (PSID) Competition grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
Panel Study of Income Dynamics (PSID) Competition: The Panel Study of Income Dynamics (PSID) is a longitudinal survey of a nationally representative sample of U.S. families begun in 1968. The PSID has collected 41 waves of data on the same families and their descendants as of 2019. The PSID collects data on a wide range of economic, social, demographic, geospatial, and health factors that affect the well-being of American families. The PSID has consistently obtained wave-to-wave re-interview response rates of more than 90%. Data are made available to scholars, students, and the public for research, analysis, and education activities within12 months of data collection. Recent innovations include adding a representative sample of families who immigrated to the U.S. between 1997and 2017, adding new tools for training and data dissemination,new geospatial identifiers for PSID employer addresses, and the development of a web-based version of the PSID questionnaire. The Economics Program in the Directorate of Social, Behavioral, and Economic Sciences (SBE) may make one award to support the collection of the NSF-funded content in the 2021 and 2023 waves of the PSID. We anticipate an NSF award of at least $17 million and at most $20 million to support two waves of data collection, dissemination activities, and outreach. The expected start date is January 1, 2021.
Federal Grant Title: Panel Study of Income Dynamics (PSID) Competition
Federal Agency Name: National Science Foundation (NSF)
Grant Categories: Science and Technology and other Research and Development
Type of Opportunity: Discretionary
Funding Opportunity Number: 20-573
Type of Funding: Grant
CFDA Numbers: 47.075
CFDA Descriptions: Information not provided
Current Application Deadline: August 4th, 2020
Original Application Deadline: August 4th, 2020
Posted Date: May 7th, 2020
Creation Date: May 7th, 2020
Archive Date: September 3rd, 2020
Total Program Funding: $20,000,000
Maximum Federal Grant Award: $20,000,000
Minimum Federal Grant Award: $17,000,000
Expected Number of Awards:
Cost Sharing or Matching: No
Last Updated: May 7th, 2020
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Link to Full Grant Announcement
NSF Publication 20-573
Grant Announcement Contact
NSF support
If you have any problems linking to this funding announcement, please contact the email address above.
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