Confronting Statistical Uncertainty in Rural America: Toward More Certain Data-Driven Policymaking Using American Community Survey (ACS) Data

Demographic shifts have transformed the racial and ethnic composition of the U.S. undergraduate population. Data from the American Community Survey are used to analyze Latino undergraduate enrollment as well as factors that contribute to the matriculation of undocumented Latino young adults. The article concludes with an overview of the implications of the growth of the Latino population and the experience of undocumented students on educational practices and policies.

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Taking a Chance in the Classroom: The American Community Survey

CHANCE ◽

10.1080/09332480.2013.772392 ◽

2013 ◽

Vol 26 (1) ◽

pp. 42-46

Author(s):

Dalene Stangl ◽

Mine Çetinkaya-Rundel ◽

Kari Lock Morgan

Keyword(s):

Community Survey ◽

American Community Survey

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Comparing denominator sources for real-time disease incidence modeling: American Community Survey and WorldPop

SSM - Population Health ◽

10.1016/j.ssmph.2021.100786 ◽

2021 ◽

pp. 100786

Author(s):

Rachel C. Nethery ◽

Tamara Rushovich ◽

Emily Peterson ◽

Jarvis T. Chen ◽

Pamela D. Waterman ◽

...

Keyword(s):

Real Time ◽

Disease Incidence ◽

Community Survey ◽

American Community Survey

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Measuring the Impact of COVID-19 on Businesses and People: Lessons from the Census Bureau’s Experience

AEA Papers and Proceedings ◽

10.1257/pandp.20211047 ◽

2021 ◽

Vol 111 ◽

pp. 312-316

Author(s):

Catherine Buffington ◽

Jason Fields ◽

Lucia Foster

Keyword(s):

Current Population Survey ◽

Population Survey ◽

Census Bureau ◽

Community Survey ◽

American Community Survey ◽

Annual Business ◽

Data Products ◽

Business Survey ◽

The Impact ◽

Existing Data

We provide an overview of Census Bureau activities to enhance the consistency, timeliness, and relevance of our data products in response to the COVID-19 pandemic. We highlight new data products designed to provide timely and granular information on the pandemic's impact: the Small Business Pulse Survey, weekly Business Formation Statistics, the Household Pulse Survey, and Community Resilience Estimates. We describe pandemic-related content introduced to existing surveys such as the Annual Business Survey and the Current Population Survey. We discuss adaptations to ensure the continuity and consistency of existing data products such as principal economic indicators and the American Community Survey.

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ARE HEALTH INSURANCE ITEM ALLOCATIONS IN THE AMERICAN COMMUNITY SURVEY MISSING COMPLETELY AT RANDOM?

Journal of Frailty & Aging ◽

10.14283/jfa.2013.29 ◽

2013 ◽

pp. 1-7

Author(s):

C. SIORDIA

Keyword(s):

Health Insurance ◽

Minority Groups ◽

Insurance Coverage ◽

Health Insurance Coverage ◽

Community Survey ◽

American Community Survey ◽

Data Sets ◽

Missing Responses ◽

Missing Completely At Random ◽

Racial Ethnic

Background:Item allocation (the assignment of plausible values to missing or illogical responses insurvey studies) is at times necessary in the production of complete data sets. In the American Community Survey(ACS), missing responses to health insurance coverage questions are allocated. Objectives:Because allocationrates may vary as a function of compositional characteristics, this project investigates how seven different healthinsurance coverage items vary in their degree of allocation along basic demographic variables. Methods: Datafrom the ACS 2010 1-year Public Use Microdata Sample file are used in a logistic regression model and tocalculate allocations rates. Results:The findings reveal that: males; people aged 65 and older; those who speakEnglish “very well” or “well”; US citizens; those out-of-poverty; and all racial/ethnic minority groups havehigher odds of experiencing a health insurance item allocation relative to their counterparts. Conclusions: Sincehealth insurance coverage allocations vary by demographic characteristics, further research is needed toinvestigate their mechanisms of missingness and how these may have implications for frailty related research.

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