Výsledky vyhledávání - "Carla Medalia"

Akademický článek

Linking Survey and Administrative Data to Measure Income, Inequality, and Mobility

Autor: Carla Medalia, Bruce D Meyer, Amy B O'Hara, Derek Wu

Publikováno v: International Journal of Population Data Science, Vol 4, Iss 1 (2019)

Background Income is one of the most important measures of well-being, but it is notoriously difficult to measure accurately. In the United States, income data are available from surveys, tax records, and government programs, but each of these source

Externí odkaz: https://doaj.org/article/bbb35ed10a4f483e92a5a7f64f033e34

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Akademický článek

Linking Survey and Administrative Data to Measure Income, Inequality, and Mobility

Autor: Carla Medalia, Bruce Meyer, Amy O'Hara, Derek Wu

Publikováno v: International Journal of Population Data Science, Vol 3, Iss 5 (2018)

Income is one of the most important measures of well-being, but it is notoriously difficult to measure accurately. Income data are available from surveys, tax records, and government programs, but each of these sources has important strengths and maj

Externí odkaz: https://doaj.org/article/1cb824d1c6c84a76b76fe870c643bb6d

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Akademický článek

Reconciling Parent-Child Relationships across US Administrative Datasets

Autor: Amy O'Hara, Katie Genadek, Carla Medalia, Trent Alexander

Publikováno v: International Journal of Population Data Science, Vol 3, Iss 4 (2018)

Introduction Population data capture children, parents, relatives, and others moving in and out of households. The U.S. has seen falling marriage rates, and increases in multigenerational households and complex families, young children living with gr

Externí odkaz: https://doaj.org/article/6ee547cb0592446a81b710359d7bea85

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Modeling a Bridge When Survey Questions Change: Evidence from the Current Population Survey Health Insurance Redesign

Autor: Carla Medalia, Jerry J. Maples, Brett O'Hara

Publikováno v: Journal of Official Statistics, Vol 35, Iss 1, Pp 189-202 (2019)

Most research on health insurance in the United States uses the Current Population Survey Annual Social and Economic Supplement. However, a recent redesign of the health insurance questions disrupted the historical time trend in 2013. Using data from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0704dd8a6dd69f22e92f3b51cddf23c
https://doaj.org/article/6d31847874414f7a82892b50568742b0

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Learning about Homelessness Using Linked Survey and Administrative Data

Autor: Alexa Grunwaldt, Derek Wu, Bruce D. Meyer, Carla Medalia, Angela Wyse

Official poverty statistics and even the extreme poverty literature largely ignore people experiencing homelessness. In this paper, we examine the characteristics, labor market attachment, geographic mobility, earnings, and safety net utilization of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9eaf8ad44256421d5665862c3b02b1e0
https://doi.org/10.3386/w28861

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Learning About Homelessness Using Linked Survey and Administrative Data

Autor: Bruce Meyer, Angela Wyse, Alexa Grunwaldt, Carla Medalia, Derek Wu

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb3175c3f3437819d66ac43eb62dc7c9
https://doi.org/10.2139/ssrn.3856841

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The Accuracy of Tax Imputations: Estimating Tax Liabilities and Credits Using Linked Survey and Administrative Data

Autor: Patrick Langetieg, Grace Finley, Carla Medalia, Alan Plumley, Bruce D. Meyer, Derek Wu, Mark Payne

This paper calculates accurate estimates of income and payroll taxes using a groundbreaking set of linked survey and administrative tax data that are part of the Comprehensive Income Dataset (CID). We compare our estimates to survey imputations produ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::436611f560cc0a8af04c01a43c78c6e6
https://doi.org/10.3386/w28229

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The Accuracy of Tax Imputations: Estimating Tax Liabilities and Credits Using Linked Survey and Administrative Data

Autor: Bruce Meyer, Derek Wu, Grace Finley, Patrick Langetieg, Carla Medalia, Mark Payne, Alan Plumley

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7421911591c435acb361fc2f4bfb8b50
https://doi.org/10.2139/ssrn.3753139

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Data Sharing in the Federal Statistical System: Impediments and Possibilities

Autor: Carla Medalia, Amy O'Hara

Publikováno v: The ANNALS of the American Academy of Political and Social Science. 675:138-150

While federal agencies have engaged in data sharing for decades, current systems of exchange must be transformed to meet the growing needs of analysts in public policy, program evaluation, and basic research. Primary barriers to intra-agency data sha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b0b41abb80dc27e044f6ab4cb5cb73d
https://doi.org/10.1177/0002716217740863

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Linking Survey and Administrative Data to Measure Income, Inequality, and Mobility

Autor: Derek Wu, Amy O'Hara, Bruce D. Meyer, Carla Medalia

Publikováno v: International Journal of Population Data Science
International Journal of Population Data Science, Vol 3, Iss 5 (2018)
International Journal of Population Data Science, Vol 4, Iss 1 (2019)

BackgroundIncome is one of the most important measures of well-being, but it is notoriously difficult to measure accurately. In the United States, income data are available from surveys, tax records, and government programs, but each of these sources

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8687fdb56f0c6374376a8cc7af9b4f
https://doi.org/10.23889/ijpds.v4i1.939

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