Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Quentin Brummet"'
Autor:
Amy O'Hara, Quentin Brummet
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 3 (2019)
An expanding body of data privacy research reveals that computational advances and ever-growing amounts of publicly retrievable data increase re-identification risks. Because of this, data publishers are realizing that traditional statistical disclos
Externí odkaz:
https://doaj.org/article/e6cc24b032e340c2b13572dda3ff757f
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 5 (2018)
Linking K-12 data on students and teachers to Internal Revenue Service (IRS) information allows us to answer questions that are difficult to answer using survey data or educational administrative data alone. We describe two research projects that dem
Externí odkaz:
https://doaj.org/article/59e282ab15314058857e219d47d9c088
Publikováno v:
Research in Social and Administrative Pharmacy. 17:930-941
We study the effects of differentially private (DP) noise injection techniques in a survey data setting, using the release of cost of early care and education estimates from the National Survey of Early Care and Education as a motivating example. As
Publikováno v:
Harvard Data Science Review.
Publikováno v:
Dieterle, S, Bartalotti, O & Brummet, Q 2020, ' Revisiting the effects of unemployment insurance extensions on unemployment : A measurement-error-corrected regression discontinuity approach ', American Economic Journal: Economic Policy, vol. 12, no. 2, pp. 84-114 . https://doi.org/10.1257/pol.20160439
This study documents two potential biases in recent analyses of UI benefit extensions using boundary-based identification: bias from using county-level aggregates and bias from across-border policy spillovers. To examine the first bias, the analysis
Autor:
Quentin Brummet, George C. Hough, John L. Czajka, Jonathan Auerbach, Eddie Hunsinger, Joseph J. Salvo
Publikováno v:
Significance. 16:35-39
Government surveys are, in many ways, the foundations of our data-driven world. But those foundations are under strain. Can administrative data come to the rescue? Jonathan Auerbach, Quentin Brummet, John Czajka, George C. Hough Jr, Eddie Hunsinger a
Autor:
Brett McBride, Joshua Mitchell, John Voorheis, Quentin Brummet, Laura Erhard, Denise Flanagan-Doyle
Publikováno v:
Statistical Journal of the IAOS. 34:513-520
Autor:
Quentin Brummet, Brandon Sepulvado
Part of the JSM 2020 session "Private Data for the Public Good: Formal Privacy in Survey Organizations" sponsored by thePrivacy and Confidentiality Committee on August 4, 2020. Description: Differential Privacy will be applied to various 2020 Census
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e21c35d3e0885663e8dbd91e14a359f
Autor:
Tanya Sanabria, Quentin Brummet, Thurston Domina, Sonya R. Porter, Andrew M. Penner, Emily K. Penner, Nikolas Pharris-Ciurej
Publikováno v:
Educational Researcher. 47:539-555
Students in the United States whose household income is less than 130% of the poverty line qualify for free lunch, and students whose household income is between 130% and 185% of the poverty line qualify for reduced-price lunch. Education researchers
Autor:
Quentin Brummet, Davin Reed
Publikováno v:
Working paper (Federal Reserve Bank of Philadelphia).
We use new longitudinal census microdata to provide the first causal evidence of how gentrification affects a broad set of outcomes for original resident adults and children. Gentrification modestly increases out-migration, though movers are not made