Literature DB >> 22476405

The Polls-Review: Inaccurate Age and Sex Data in the Census Pums Files: Evidence and Implications.

J Trent Alexander, Michael Davern, Betsey Stevenson.   

Abstract

We discover and document errors in public-use microdata samples ("PUMS files") of the 2000 Census, the 2003-2006 American Community Survey, and the 2004-2009 Current Population Survey. For women and men age 65 and older, age- and sex-specific population estimates generated from the PUMS files differ by as much as 15 percent from counts in published data tables. Moreover, an analysis of labor-force participation and marriage rates suggests the PUMS samples are not representative of the population at individual ages for those age 65 and over. PUMS files substantially underestimate labor-force participation of those near retirement age and overestimate labor-force participation rates of those at older ages. These problems were an unintentional byproduct of the misapplication of a newer generation of disclosure-avoidance procedures carried out on the data. The resulting errors in the public-use data could significantly impact studies of people age 65 and older, particularly analyses of variables that are expected to change by age.

Entities:  

Year:  2010        PMID: 22476405      PMCID: PMC3175601          DOI: 10.1093/poq/nfq033

Source DB:  PubMed          Journal:  Public Opin Q        ISSN: 0033-362X


  2 in total

1.  Inside the sausage factory: improving estimates of the effects of health insurance expansion proposals.

Authors:  Sherry Glied; Dahlia K Remler; Joshua Graff Zivin
Journal:  Milbank Q       Date:  2002       Impact factor: 4.911

2.  Distributing State Children's Health Insurance Program funds: a critical review of the design and implementation of the funding formula.

Authors:  Lynn A Blewett; Michael Davern
Journal:  J Health Polit Policy Law       Date:  2007-06       Impact factor: 2.265

  2 in total
  7 in total

1.  Patterns of residential crowding among Hispanics in later life: immigration, assimilation, and housing market factors.

Authors:  Jeffrey A Burr; Jan E Mutchler; Kerstin Gerst
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2010-10-11       Impact factor: 4.077

2.  Big Data: Large-Scale Historical Infrastructure from the Minnesota Population Center.

Authors:  Matthew Sobek; Lara Cleveland; Sarah Flood; Patricia Kelly Hall; Miriam L King; Steven Ruggles; Matthew Schroeder
Journal:  Hist Methods       Date:  2011-01-01

3.  The Big Census Data Revolution: IPUMS-International. Trans-Border Access to Decades of Census Samples for Three-Fourths of the World and more.

Authors:  Robert McCaa
Journal:  Rev Demogr Hist       Date:  2013

4.  When Excessive Perturbation Goes Wrong and Why IPUMS-International Relies Instead on Sampling, Suppression, Swapping, and Other Minimally Harmful Methods to Protect Privacy of Census Microdata.

Authors:  Lara Cleveland; Robert McCaa; Steven Ruggles; Matthew Sobek
Journal:  Priv Stat Databases       Date:  2012-09

5.  IPUMS-International Statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation.

Authors:  Robert McCaa; Steven Ruggles; Matt Sobek
Journal:  Priv Stat Databases       Date:  2010-09

6.  Number of people in the United States experiencing ambulatory and independent living difficulties.

Authors:  Carlos Siordia
Journal:  J Soc Work Disabil Rehabil       Date:  2014

7.  Recent trends in coverage of the Mexican-born population of the United States: results from applying multiple methods across time.

Authors:  Jennifer Van Hook; Frank D Bean; James D Bachmeier; Catherine Tucker
Journal:  Demography       Date:  2014-04
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.