Stanford University
For Infrastructure Evidence-based Policy Research
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Amount$400,000
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Program
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Date Awarded11/21/2018
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Term12 Months
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Type of SupportProject
Overview
This grant to Stanford University will support the creation of a comprehensive linked panel, which will be built as part of the Data Linkage Infrastructure program within the Census Bureau. It will be done in three sections: (a) discussions on the technical steps that need to be completed to build out the tax side of this infrastructure; (b) identification of the various uses of the new panel; and (c) a layout of the costs. In building the country’s first comprehensive linked panel, merging data from censuses, tax records, schools, and other administrative sources, the capacity for research and evidence-based policy would be made possible. The panel will improve capacity to examine labor market processes, long-run program effects, and intergenerational program effects, among other important trends.
About the Grantee
Grantee Website
siepr.stanford.edu
Address
366 Galvez Street, Stanford, CA, 94305, United States
Grants to this Grantee
for support of the Policy Analysis for California Education program
Policy Analysis for California Education (PACE) is a nonpartisan policy and research center housed at Stanford University. It researches and analyzes education policy issues pertaining to California’s K-12 education system, bridging the gap between research and policy. This grant will help PACE produce relevant analysis and research, which can be used to better inform California education policy development and guide state and local decision making. (Strategy: K-12 Teaching and Learning)
for support of a neuroimaging study of racial bias and professional investors
SPARQ, a research center at Stanford University, seeks to reduce societal disparities and social divides using behavioral science. This grant will support research to examine racial diversity in the financial services industry. It is expected that this information will be used to develop strategies and practices to reduce biases that contribute to racial disparities.
