Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sonya R. Porter"'
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:
AEA Papers and Proceedings. 110:442-446
Using confidential-use, individual-level Internal Revenue Service and US Census data, we follow the earnings of Hispanics and Asians between the ages of 18-45 with panel data that spans the years 2005-2014. These two groups represent the largest immi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ecf408588979f836bd720b3ce7f7582
https://doi.org/10.1257/pandp.20201117
https://doi.org/10.1257/pandp.20201117
Publikováno v:
The Quarterly Journal of Economics. 135:711-783
We study the sources of racial disparities in income using anonymized longitudinal data covering nearly the entire U.S. population from 1989 to 2015. We document three results. First, black Americans and American Indians have much lower rates of upwa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb88d958e9cee08e83bfe3a9c9ea25bd
https://doi.org/10.1093/qje/qjz042
https://doi.org/10.1093/qje/qjz042
Autor:
Paul Yoo, Emily K. Penner, Sonya R. Porter, Evan K. Rose, Nikolas Pharris-Ciurej, Miles Davison, Yotam Shem-Tov, Andrew M. Penner
Publikováno v:
Educ Res
Despite interest in the contributions of school discipline to the creation of racial inequality, previous research has been unable to identify how students who receive suspensions in school differ from unsuspended classmates on key young adult outcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddc7c1c499e5bc38bcb2bc2651e435b4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f0cc5434229afcae28ede8303ebbec
https://doi.org/10.3102/0013189x18797609
https://doi.org/10.3102/0013189x18797609
Publikováno v:
Statistical Journal of the IAOS. 34:191-201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c120b0e3a26b8e64c1ea4ca25218b0c
https://doi.org/10.3233/sji-170386
https://doi.org/10.3233/sji-170386
Publikováno v:
Statistical Journal of the IAOS. 34:179-189
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5debdcc3477bb6fb5235c2c21a7eadb9
https://doi.org/10.3233/sji-170374
https://doi.org/10.3233/sji-170374
Publikováno v:
Demography. 56(3)
Using unique linked data, we examine income inequality and mobility across racial and ethnic groups in the United States. Our data encompass the universe of income tax filers in the United States for the period 2000–2014, matched with individual-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46600a05fbb1e44e1134946507b8073e
https://pubmed.ncbi.nlm.nih.gov/30945204
https://pubmed.ncbi.nlm.nih.gov/30945204
We construct a public atlas of children's outcomes in adulthood by the Census tract in which they grew up using anonymized longitudinal data covering nearly the entire U.S. population. For each tract, we estimate children's earnings distributions, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe7157fce3be143b72ffb45a3626d99e
https://doi.org/10.3386/w25147
https://doi.org/10.3386/w25147
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cc924ace269e63bc5b3348f1f67b01
https://ijpds.org/article/view/1072
https://ijpds.org/article/view/1072