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

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.

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

2019 ◽  
Vol 35 (1) ◽  
pp. 189-202
Author(s):  
Brett O’Hara ◽  
Carla Medalia ◽  
Jerry J. Maples
Keyword(s):  
Health Insurance ◽  
Current Population Survey ◽  
Time Trend ◽  
Population Survey ◽  
The United States ◽  
Community Survey ◽  
Historical Time ◽  
Current Population ◽  
Using Data ◽  
The Impact

Abstract 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 the American Community Survey, which has a parallel trend in the uninsured rate, we model a bridge estimate of the uninsured rate using the traditional questions. Also, we estimate the effect of changing the questionnaire. We show that the impact of redesigning the survey varies substantially by subgroup. This approach can be used to produce bridge estimates when other questionnaires are redesigned.

scholarly journals Counting Uninsurance and Means-Tested Coverage in the American Community Survey: A Comparison to the Current Population Survey

2010 ◽  
Vol 46 (1p1) ◽  
pp. 210-231 ◽  
Author(s):  
Michel Boudreaux ◽  
Jeanette Y. Ziegenfuss ◽  
Peter Graven ◽  
Michael Davern ◽  
Lynn A. Blewett
Keyword(s):  
Current Population Survey ◽  
Population Survey ◽  
Community Survey ◽  
American Community Survey ◽  
Current Population

Testing the Impact of Road Network Connectivity on Criminal Lethality

2018 ◽  
Vol 22 (3) ◽  
pp. 277-295 ◽  
Author(s):  
Aaron C. Poole ◽  
James C. McCutcheon ◽  
Kayla Toohy ◽  
Bert Burraston
Keyword(s):  
Road Network ◽  
Reporting System ◽  
Explanatory Variable ◽  
Network Connectivity ◽  
Google Earth ◽  
Community Survey ◽  
Data Sources ◽  
American Community Survey ◽  
Positive Outcomes ◽  
The Impact

Increased road network connectivity has been linked to more positive outcomes among all health outcomes. Road network connectivity has yet to be tested in association with specifically criminal lethality. The current study looks to incorporate road network connectivity as an explanatory variable for criminal lethality. Data on Road Network Connectivity and Criminal Lethality are gathered for 190 cities. Data sources include the National Incident-Based Reporting System (NIBRS), 2010 Census, 2010 American Community Survey, Google Earth, and Census Topologically Integrated Geographic Encoding and Referencing (TIGER) files. The data demonstrate that a city’s road network connectivity is related to decreases in the rates of lethality among assaults. Implications of this finding are discussed.

scholarly journals The Labor Market Effects of Refugee Waves: Reconciling Conflicting Results

ILR Review ◽  
2019 ◽  
Vol 72 (4) ◽  
pp. 818-857 ◽  
Author(s):  
Michael A. Clemens ◽  
Jennifer Hunt
Keyword(s):  
High School ◽  
Labor Market ◽  
Current Population Survey ◽  
Population Survey ◽  
High School Education ◽  
Endogenous Variable ◽  
Racial Composition ◽  
Compositional Change ◽  
Market Effects ◽  
The Impact

Studies have reached conflicting conclusions regarding the labor market effects of exogenous refugee waves such as the Mariel Boatlift in Miami. The authors show that contradictory findings on the effects of the Mariel Boatlift can be explained by a large difference in the pre- and post-Boatlift racial composition in certain very small subsamples of workers in the Current Population Survey. This compositional change is specific to Miami and unrelated to the Boatlift. They also show that conflicting findings on the labor market effects of other important refugee waves are caused by spurious correlation in some analyses between the instrument and the endogenous variable, introduced by applying a common divisor to both. As a whole, the evidence from refugee waves reinforces the existing consensus that the impact of immigration on average native-born workers is small, and it fails to substantiate claims of large detrimental effects on workers with less than a high school education.

MATCH BIAS OR NONIGNORABLE NONRESPONSE? IMPROVED IMPUTATION AND ADMINISTRATIVE DATA IN THE CPS ASEC

2020 ◽  
Author(s):  
Charles Hokayem ◽  
Trivellore Raghunathan ◽  
Jonathan Rothbaum
Keyword(s):  
Administrative Data ◽  
Current Population Survey ◽  
Population Survey ◽  
Census Bureau ◽  
Median Income ◽  
Efficiency Gains ◽  
Poverty And Inequality ◽  
Nonignorable Nonresponse ◽  
Using Data ◽  
Sequential Regression

Abstract We test an improved imputation technique, sequential regression multivariate imputation (SRMI), for the Current Population Survey Annual Social and Economic Supplement to address match bias. Furthermore, we augment the model with administrative tax data to test for nonignorable nonresponse. Using data from 2009, 2011, and 2013, we find that the current hot deck imputation used by the Census Bureau produces different distribution statistics, downward for poverty and inequality and upward for median income, relative to the SRMI model-based estimates. Our results suggest that these differences are a result of match bias, not nonignorable nonresponse. Nearly all poverty, median income, and inequality estimates are not significantly different when comparing imputation models with and without administrative data. However, there are clear efficiency gains from using administrative data.

scholarly journals Potential Data Sources for a New Study of Social Mobility in the United States

2014 ◽  
Vol 657 (1) ◽  
pp. 208-246
Author(s):  
John Robert Warren
Keyword(s):  
United States ◽  
Social Mobility ◽  
Population Survey ◽  
Data Access ◽  
The United States ◽  
Community Survey ◽  
Data Sources ◽  
American Community Survey ◽  
Costs And Benefits ◽  
Trade Offs

In this article I define the main criteria that ought to be considered in evaluating the costs and benefits of various data resources that might be used for a new study of social and economic mobility in the United States. These criteria include population definition and coverage, sample size, topical coverage, temporal issues, spatial issues, sustainability, financial expense, and privacy and data access. I use these criteria to evaluate the strengths and weakness of several possible data resources for a new study of mobility, including existing smaller-scale surveys, the Current Population Survey, the American Community Survey, linked administrative data, and a new stand-alone survey. No option is perfect, and all involve trade-offs. I conclude by recommending five possible designs that are particularly strong on the criteria listed above.

The Effect of Registration Laws on Voter Turnout

1978 ◽  
Vol 72 (1) ◽  
pp. 22-45 ◽  
Author(s):  
Steven J. Rosenstone ◽  
Raymond E. Wolfinger
Keyword(s):  
Voter Turnout ◽  
Population Survey ◽  
Census Bureau ◽  
Voter Registration ◽  
State Laws ◽  
Percentage Points ◽  
Registration Laws ◽  
The 1960S ◽  
State Registration ◽  
The Impact

After the drastic relaxation of voter registration requirements in the 1960s, do present state laws keep people away from the polls? More specifically, which provisions have how much effect on what kinds of people? We have answered these questions with data from the Current Population Survey conducted by the Census Bureau in November 1972.State registration laws reduced turnout in the 1972 presidential election by about nine percentage points. The impact of the laws was heaviest in the South and on less educated people of both races. Early deadlines for registration and limited registration office hours were the biggest impediments to turnout.Contrary to expectations, changing these requirements would not substantially alter the character of the electorate. The voting population would be faintly less affluent and educated; the biggest difference would be a matter of one or two percentage points. In strictly political terms, the change would be even fainter–a gain for the Democrats of less than half a percent.

Sign in / Sign up

Export Citation Format

Share Document