The Opportunities and Challenges of Using Administrative Data Linkages to Evaluate Mobility

Published date01 January 2015
AuthorAmy O’Hara,David S. Johnson,Catherine Massey
Date01 January 2015
DOI10.1177/0002716214552780
Subject MatterSection III: Issues of Implementation
ANNALS, AAPSS, 657, January 2015 247
DOI: 10.1177/0002716214552780
The
Opportunities
and Challenges
of Using
Administrative
Data Linkages
to Evaluate
Mobility
By
DAVID S. JOHNSON,
CATHERINE MASSEY,
and
AMY O’HARA
552780ANN The Annals of the American AcademyUsing Administrative Data Linkages to Evaluate Mobility
research-article2014
Since Alan Krueger’s christening of the Great Gatsby
curve, there has been increased attention given to the
relationship between inequality and intergenerational
social mobility in the United States. Studying intergen-
erational mobility (IGM) requires longitudinal data
across large spans of time as well as the ability to follow
parents and children over multiple generations. Few
longitudinal datasets meet this need. This article sur-
veys available data and the current and potential issues
surrounding the use of administrative records to vastly
extend the study of IGM. First, we describe the U.S.
Census Bureau’s current uses of administrative records
in the linkage of households across household surveys
such as the Current Population Survey (CPS), American
Community Survey (ACS), Survey of Income and
Program Participation (SIPP), and the decennial cen-
suses. Then, we describe the possibilities of creating
additional parent-child linkages using the SIPP linked
to decennial censuses and the ACS. Last, we outline
our model to create linkages across earlier census data
(e.g., 1980 and 1990) and contemporary surveys.
Keywords: intergenerational mobility; child develop-
ment; record linkage; administrative
records
With the advent of the Great Gatsby curve,
there has been increased attention on
inequality and intergenerational mobility
(IGM) in the United States.1 Much of the
recent interest is in determining absolute and
relative differences in economic and social
well-being between generations. Although
David S. Johnson is the chief economist at the Bureau
of Economic Analysis (BEA), where he coordinates
cross-program research projects and develops new sup-
plemental measures and distributional measures for the
national accounts. Before joining BEA, he was chief of
the Social, Economic, and Housing Statistics Division
at the U.S. Census Bureau.
Catherine Massey is an economist in the Center for
Administrative Records Research and Applications at
the U.S. Census Bureau. Her current areas of research
include intergenerational mobility, immigration, and
record linkage.
248 THE ANNALS OF THE AMERICAN ACADEMY
multiple datasets observe both parents and children at one point in time, the
study of mobility requires linked parent-child information across multiple gen-
erations. One way to address this issue is to create linked parent-child data from
existing surveys that include both parents and children. In this article, we
describe the current uses of administrative records data at the U.S. Census
Bureau and their use in the linkage of individuals across household surveys (e.g.,
Current Population Survey [CPS], American Community Survey [ACS], Survey
of Income Program Participation [SIPP]) and the decennial censuses, as well as
their potential to aid in the collection of intergenerational information.
The recent Committee on National Statistics (CNSTAT) report, “Reengineering
the Survey of Income and Program Participation,” suggests two types of uses for
administrative data—indirect and direct (National Research Council 2009). The
indirect use includes assessing data quality, imputing for missing data, and aiding
in linking survey data. The direct use includes research using only administrative
data (Chetty etal. 2014; Mitnik etal. 2014), replacing survey data, and research
to augment survey data.
This article outlines how the U.S. Census Bureau uses administrative data both
directly and indirectly, and how these uses are applicable to the study of mobility.
First, we highlight the difficulty in acquiring administrative data, current uses of
administrative data, and appropriate disclosure avoidance requirements necessary
to utilize administrative records for research. Next, we describe the role of admin-
istrative records in the record linkage activities of the Census Bureau. We also
discuss the creation of a core set of linked decennial census and ACS data, as well
as the possibilities of creating additional parent-child linkages using the SIPP. We
build upon the concepts presented in Warren (2013) and the statement of purpose
for the National Academy of Science (NAS) background paper “Issues in Designing
a New National Survey on Social Mobility.” Last, we present the issues and possi-
bilities of using data from the Social Security Administration (SSA) and Internal
Revenue Service (IRS) to create further links between parents and children.
Precedents for Linking Census Data and Measuring
Mobility
The practice of linking decennial census data dates back to the late 1930s
(Ferrie 2004) but became widely used following Steckel (1988, 1989) and
Ferrie (1996). Their work created the first national linked samples of the
Amy O’Hara is chief of the Center for Administrative Records Research and Applications at
the U.S. Census Bureau. She leads efforts to integrate federal, state, and third party data with
censuses and surveys to create new social and economic measurements, improve operational
efficiency, and reduce respondent burden.
NOTE: This article is intended to inform interested parties of ongoing research at the U.S.
Census Bureau and the Bureau of Economic Analysis and to encourage discussion. The views
expressed are those of the authors and not necessarily those of the U.S. Census Bureau or the
Bureau of Economic Analysis.

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT