785
Views
35
CrossRef citations to date
0
Altmetric
Pages 935-945 | Received 01 Apr 2014, Published online: 07 Nov 2015

REFERENCES

  • Abowd, J., and Stinson, M. (2013), “Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data,” Review of Economics and Statistics, 95, 1451–1467.
  • Andridge, R., and Little, R. (2010), “A Review of Hot-Deck Imputation for Survey Nonresponse,” International Statistical Review, 78, 40–64.
  • Bang, H., and Robins, J.M. (2005), “Doubly Robust Estimation in Missing Data and Causal Inference Models,” Biometrics, 61, 962–973.
  • Bollinger, C. (1998), “Measurement Error in the CPS: A Nonparametric Look,” Journal of Labor Economics, 16, 576–594.
  • Bollinger, C., and Hirsch, B. (2006), “Match Bias From Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching,” Journal of Labor Economics, 24, 483–519.
  • Bollinger, C., and Hirsch, B. (2013), “Is Earnings Nonresponse Ignorable?” Review of Economics and Statistics, 95, 407–416.
  • Bound, J., and Krueger, A.B. (1991), “The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?” Journal of Labor Economics 9, 1–24.
  • Citro, C., and Michael, R. (1995), Measuring Poverty: A New Approach, Washington, D.C.: National Academies Press.
  • Cochran, W.G. (1977), Sampling Techniques, Wiley Series in Probability and Statistics, New York: Wiley.
  • Dixon, J. (2012), “Using Contact History Information to Adjust for Nonresponse in the Current Population Survey,” in JSM Proceedings: Section on Government Statistics, Alexandria, VA: American Statistical Association, pp. 1977–1982.
  • Edin, K., and Lein, L. (1997), Making Ends Meet: How Single Mothers Survive Welfare and Low-Wage Work. New York: Russell Sage.
  • Gabe, T. (2007), “Federal Programs That Use the “Official” Poverty Definition for Determining Eligibility Or for Allocating Funds,” Memo From the Congressional Research Service to the U.S. House Ways and Means Subco-mmittee on Income Security and Family Support (October 30).
  • Groves, R. (2001), Survey Nonresponse, New York: Wiley.
  • Hirsch, B., and Schumacher, E. (2004), “Match Bias in Wage Gap Estimates Due to Earnings Imputation,” Journal of Labor Economics, 22, 689–722.
  • Hokayem, C., Bollinger, C., and Ziliak, J.P. (2014), The Role of CPS Nonresponse on the Level and Trend in Poverty, Discussion Paper 2014-05, Lexington, KY: University of Kentucky Center for Poverty Research.
  • Korinek, A., Mistiaen, J., and Ravallion, M. (2007), “An Econometric Method of Correcting for Unit Nonresponse in Surveys,” Journal of Econometrics, 136, 213–235.
  • Little, R., and Rubin, D. (2002), Statistical Analysis With Missing Data, New York: Wiley.
  • Manski, C. (1989), “Anatomy of the Selection Problem,” Journal of Human Resources, 24, 343–360.
  • Manski, C. (2014), Credible Interval Estimates for Official Statistics With Survey Nonresponse, Evanston, IL: Department of Economics, Northwestern University.
  • Meyer, B., and Sullivan, J. (2012), “Identifying the Disadvantaged: Official Poverty, Consumption Poverty, and the New Supplemental Poverty Measure,” Journal of Economic Perspectives, 26, 1–27.
  • Nicholas, J., and Wiseman, M. (2009), “Elderly Poverty and Supplemental Security Income” Social Security Bulletin, 69, 45–73.
  • Nicholas, J., and Wiseman, M. (2010), “Elderly Poverty and Supplemental Security Income: 2002–2005,” Social Security Bulletin, 70, 1–29.
  • Roemer, M. (2002), Using Administrative Earnings Records to Assess Wage Data Quality in the March Current Population Survey and the Survey of Income and Program Participation, Longitudinal Employer-Household Dynamics Program, Technical Paper No. TP-2002-22, Washington, DC: U.S. Census Bureau.
  • Rosenbaum, P. (1987), “Model-Based Direct Adjustment,” Journal of the American Statistical Association, 82, 387–394.
  • Rosenbaum, P., and Rubin, D. (1983), “The Central Role of the Propensity Score in Observational Studies for Causal Effects,” Biometrika, 70, 41–55.
  • Short, K. (2013), The Research Supplemental Poverty Measure: 2012, Current Population Reports, Washington, DC: U.S. Census Bureau.
  • Turek, J., Scheuren, F., Snclair-James, B., Ghose, B., and Desale, S. (2009), “The Effects of Imputation of CPS Income and Poverty Series: 1981–2007,” in JSM Proceedings: Section on Survey Research Methods, Alexandria, VA: American Statistical Association, pp. 1892–1900.
  • Turek, J., Swenson, K., Ghose, B., Scheuren, F., and Lee, D. (2012), “How Good are ASEC Earnings Data? A Comparison to SSA Detailed Earnings Records” in Proceedings of the 2012 Federal Committee on Statistical Methodology Research Conference.
  • Venkatesh, S. (2006), Off the Books: The Underground Economy of the Urban Poor, Cambridge, MA: Harvard University Press.
  • Welniak, E.J. (1990), Effects of the March Current Population Survey's New Processing System on Estimates of Income and Poverty, Washington, DC: U.S. Census Bureau.
  • Wooldridge, J.M. (2007), “Inverse Probability Weighted M-Estimation for General Missing Data Problems,” Journal of Econometrics, 141, 1281–1301.
  • Wooldridge, J.M (2010), Econometric Analysis of Cross Section and Panel Data (2nd ed.), Cambridge, MA: MIT Press.
  • Ziliak, J.P. (2006), “Understanding Poverty Rates and Gaps: Concepts, Trends, and Challenges,” Foundations and Trends in Microeconomics, 1, 127–199.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.