Timing Is Everything: Late Registration and Stratified Access to School Choice

2018 ◽  
Vol 91 (3) ◽  
pp. 242-262 ◽  
Author(s):  
Kelley Fong ◽  
Sarah Faude
Keyword(s):  
School Choice ◽  
Survey Data ◽  
Administrative Data ◽  
School System ◽  
Equal Access ◽  
Schools Of Choice ◽  
Late Registration ◽  
Full Participation ◽  
Data Survey ◽  
Participation Inequality

School choice policies necessarily impose registration timelines, constraining access to schools of choice for students who register late. Drawing on administrative data, survey data, and interviews with 33 parents in Boston, we find that late registration is common and highly stratified: Nearly half of black kindergarteners miss the first registration deadline, a rate almost three times higher than their white peers, consigning them to the least preferred schools. Contexts of instability and bureaucratic complexity serve as barriers to registering months in advance, and parents describe disengagement from the school system following their late registration. These findings show how despite equal access in theory, bureaucratic structures such as timeline-based lotteries hinder many families, particularly those disadvantaged already, from full participation. Inequality in school choice outcomes and experiences thus results not only from families’ selections, the focus of previous research, but also the misalignment of district bureaucratic processes with family situations.

scholarly journals A Choice Too Far: Transit Difficulty and Early High School Transfer

2020 ◽  
pp. 0013189X2094950 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey Grigg
Keyword(s):  
High School ◽  
Travel Time ◽  
Administrative Data ◽  
Public Transportation ◽  
School System ◽  
Ninth Grade ◽  
Public School System ◽  
Baltimore City ◽  
School Transfer ◽  
The Relationship

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014–2015 to estimate the relationship between travel time on public transportation and school transfer during the ninth grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we found that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

Choosing Your Pond: Location Choices and Relative Income

2020 ◽  
pp. 1-46 ◽  
Author(s):  
Nicolas L. Bottan ◽  
Ricardo Perez-Truglia
Keyword(s):  
Medical Students ◽  
Field Experiment ◽  
Survey Data ◽  
Revealed Preference ◽  
Information Provision ◽  
Relative Income ◽  
Choice Data ◽  
Location Choices ◽  
Income Distributions ◽  
Data Survey

Do individuals care about their relative income? While this is a long-standing hypothesis, revealed-preference evidence remains elusive. We provide a unique test by studying residential choices: individuals often must choose between places with different income distributions, and as a result they “choose” their relative income. We conducted a field experiment with 1,080 senior medical students who participated in the National Resident Matching Program. We estimate their preferences by combining choice data, survey data on perceptions and information-provision experiments. The evidence suggests that individuals care about their relative income and that these preferences differ across single and non-single individuals.

scholarly journals School choice in England: evidence from national administrative data

2019 ◽  
Vol 45 (5) ◽  
pp. 690-710 ◽  
Author(s):  
Simon Burgess ◽  
Ellen Greaves ◽  
Anna Vignoles
Keyword(s):  
School Choice ◽  
Administrative Data

Parent Involvement and School Responsiveness: Facilitating the Home–School Connection in Schools of Choice

1995 ◽  
Vol 17 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Patricia A. Bauch ◽  
Ellen B. Goldring
Keyword(s):  
Parent Involvement ◽  
School Choice ◽  
Home School ◽  
School Type ◽  
Schools Of Choice ◽  
Children's Education ◽  
School Connection ◽  
Different Types ◽  
Children’S Education

School choice advocates maintain that parents who choose their schools will be involved. This study asks: (a) What are the characteristics of families who prefer different types of choice arrangements and what are their reasons for choosing? (b) How are parents involved in their children’s education under different types of choice arrangements? (c) How do schools respond to parents under different types of choice arrangements? Findings reveal that religion, income, and ethnicity are important in understanding parents’ reasons for school choice and that school type is a major factor in understanding the relationships between parent involvement and school responsiveness.

New Evidence on Earnings Volatility in Survey and Administrative Data

2018 ◽  
Vol 108 ◽  
pp. 287-291 ◽  
Author(s):  
Michael D. Carr ◽  
Emily E. Wiemers
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Panel Study ◽  
Program Participation ◽  
Income Dynamics ◽  
Cross Sectional ◽  
Earnings Volatility ◽  
Apparent Inconsistency ◽  
New Evidence

Despite the rise in cross-sectional inequality since the late 1990s, there is little consensus on trends in earnings volatility during this period. Using consistent samples and methods in administrative earnings data matched to the Survey of Income and Program Participation (SIPP GSF) and survey data from the Panel Study of Income Dynamics (PSID), we examine earnings volatility for men from 1978 through 2011. In contrast to the apparent inconsistency in trends across administrative and survey data in the existing literature, we find recent increases in volatility in the SIPP GSF and the PSID, though increases are larger in the PSID.

Choice, Empowerment, and Involvement: What Satisfies Parents?

1993 ◽  
Vol 15 (4) ◽  
pp. 396-409 ◽  
Author(s):  
Ellen B. Goldring ◽  
Rina Shapira
Keyword(s):  
Socioeconomic Status ◽  
Public Schools ◽  
School Choice ◽  
Parental Involvement ◽  
Parent Satisfaction ◽  
School Program ◽  
Schools Of Choice

School choice advocates maintain that parents who choose their schools will be satisfied with those schools. This study examines the nature of the interrelationships between parents’ satisfaction with public schools of choice and (a) parents’ empowerment, (b) parental involvement, and (c) the congruence between what parents expected of the school when deciding to enroll their child and the actual school program. Findings from a study of school choice in Israel reveal that socioeconomic status is a major factor in understanding the relationships between parent satisfaction and choice.

scholarly journals NEPS Starting Cohort 6 survey data linked to administrative data of the IAB (NEPS-SC6-ADIAB)

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Nadine Bachbauer
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Linked Data ◽  
Panel Study ◽  
Data Access ◽  
Data Sources ◽  
Employment Agency ◽  
Educational Trajectories ◽  
Analytical Potential ◽  
Site Access

BackgroundNEPS-SC6-ADIAB is a new linked data product containing survey data of Starting Cohort 6 of the German National Educational Panel Study (NEPS) and administrative employment data from the Institute for Employment Research (IAB), the research institute of the Federal Employment Agency. NEPS is provided by the Leibniz Institute for Educational Trajectories (LIfBi). Starting Cohort 6 of this panel survey includes adults in their professional life, the survey focuses on education in adulthood and lifelong learning. The administrative data in NEPS-SC6-ADIAB consist of comprehensive information on the employment histories. ObjectivesCombining these two data sources increases for example the information about individual employment history. Overall, the data volume is increased by the linkage between the survey data and the administrative data. MethodsA record linkage process was used to link the two data sources. The data access is free for the whole scientific community. In addition to a large number of On-site access locations within Germany, there are also international On-site access locations. Including London and Colchester. In addition a Remote Data Access is offered. ConclusionsThis data linkage project is very innovative and creates an extensive database, which results in extensive analytical potential. A short application example is made to exemplify the comprehensive analytical potential of NEPS-SC6-ADIAB. This ongoing project deals with nonresponse in survey data. The linked data has a variety of variables collected in both data sources, administratively and through the NEPS survey, allowing for comparative analyses. In this case an idea to compensate nonresponse in income data with administrative data is drawn.

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