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Measurement Error in the Current Population Survey: A Nonparametric Look

Citations

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Cited by:

  1. Jeremy J. Nalewaik, 2014. "Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression," Finance and Economics Discussion Series 2014-27, Board of Governors of the Federal Reserve System (U.S.).
  2. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Upjohn Working Papers and Journal Articles 15-242, W.E. Upjohn Institute for Employment Research.
  3. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
  4. Askildsen, Jan Erik & Baltagi, Badi H. & Holmås, Tor Helge, 2002. "Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply," Working Papers in Economics 21/02, University of Bergen, Department of Economics.
  5. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," IZA Discussion Papers 10943, Institute of Labor Economics (IZA).
  6. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2007. "Uncovering the American Dream: Inequality and Mobility in Social Security Earnings Data since 1937," NBER Working Papers 13345, National Bureau of Economic Research, Inc.
  7. An, Yonghong & Hu, Yingyao, 2012. "Well-posedness of measurement error models for self-reported data," Journal of Econometrics, Elsevier, vol. 168(2), pages 259-269.
  8. Felix Schmutz, 2016. "Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(II), pages 125-177, June.
  9. Qing Li, 2014. "Identifiability of mean-reverting measurement error with instrumental variable," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 118-129, May.
  10. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25, pages 513-551.
  11. Amitabh Chandra, 2003. "Is the Convergence of the Racial Wage Gap Illusory?," NBER Working Papers 9476, National Bureau of Economic Research, Inc.
  12. Maria Marshall & Anna Flaig, 2014. "Marriage, Children, and Self-Employment Earnings: An Analysis of Self-Employed Women in the US," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 313-322, September.
  13. Peter Gottschalk & Minh Huynh, 2010. "Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 302-315, May.
  14. Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2003. "Wage policy in the health care sector: a panel data analysis of nurses' labour supply," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 705-719, September.
  15. Luca Flabbi, 2010. "Gender Discrimination Estimation In A Search Model With Matching And Bargaining," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(3), pages 745-783, August.
  16. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2011. "Towards the alternative measurement: Discovering the relationships between technology adoption and quality of life in Indonesia," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52206, International Telecommunications Society (ITS).
  17. Askildsen, Jan Erik & Baltagi, Badi H. & Holmås, Tor Helge, 2002. "Will Increased Wages Reduce Shortage of Nurses? A Panel Data Analysis of Nurses’ Labour Supply," Working Papers in Economics 21/02, University of Bergen, Department of Economics.
  18. Tor Helge Holmås, 2002. "Keeping nurses at work: a duration analysis," Health Economics, John Wiley & Sons, Ltd., vol. 11(6), pages 493-503, September.
  19. Flabbi, Luca, 2010. "Prejudice and gender differentials in the US labor market in the last twenty years," Journal of Econometrics, Elsevier, vol. 156(1), pages 190-200, May.
  20. Bo Cowgill & Cosmina Dorobantu, 2018. "Competition and Specificity in Market Design: Evidence from Geotargeted Advertising," Working Papers 18-09, NET Institute, revised Sep 2018.
  21. James P. Ziliak & Charles Hokayem & Christopher R. Bollinger, 2020. "Trends in Earnings Volatility using Linked Administrative and Survey Data," Working Papers 20-24, Center for Economic Studies, U.S. Census Bureau.
  22. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
  23. Jesse Bricker & Gary V. Engelhardt, 2007. "Measurement Error in Earnings Data in the Health and Retirement Study," Working Papers, Center for Retirement Research at Boston College wp2007-16, Center for Retirement Research, revised Oct 2007.
  24. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  25. Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
  26. Bruce Meyer & Nikolas Mittag, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 2017-075, Human Capital and Economic Opportunity Working Group.
  27. Fisher, Jonathan D. & Houseworth, Christina A., 2013. "Occupation inflation in the Current Population Survey," Journal of Economic and Social Measurement, IOS Press, issue 3, pages 243-261.
  28. Suyong Song & Stephen S. Baek, 2019. "Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship," Papers 1906.06747, arXiv.org.
  29. James X. Sullivan, 2020. "A Cautionary Tale of Using Data From the Tail," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2361-2368, December.
  30. Martin H. David & Christopher R. Bollinger, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569.
  31. Oliver Linton & Ji-Liang Shiu, 2018. "Semiparametric nonlinear panel data models with measurement error," CeMMAP working papers CWP09/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  32. Julian Cristia & Jonathan A. Schwabish, 2007. "Measurement Error in the SIPP: Evidence from Matched Administrative Records: Working Paper 2007-03," Working Papers 18322, Congressional Budget Office.
  33. Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-937, December.
  34. Jonathan A. Schwabish, 2006. "Earnings Inequality and High Earners: Changes During and after the Stock Market Boom of the 1990s: Working Paper 2006-06," Working Papers 17738, Congressional Budget Office.
  35. Singleton, Perry, 2011. "The Effect of Taxes on Taxable Earnings: Evidence From the 2001 and Related U.S. Federal Tax Acts," National Tax Journal, National Tax Association;National Tax Journal, vol. 64(2), pages 323-351, June.
  36. Christopher R. Bollinger & Amitabh Chandra, 2005. "Iatrogenic Specification Error: A Cautionary Tale of Cleaning Data," Journal of Labor Economics, University of Chicago Press, vol. 23(2), pages 235-258, April.
  37. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
  38. Bruce D. Meyer & Derek Wu, 2018. "The Poverty Reduction of Social Security and Means-Tested Transfers," NBER Working Papers 24567, National Bureau of Economic Research, Inc.
  39. Giovanni Peri & Vasil Yasenov, 2019. "The Labor Market Effects of a Refugee Wave: Synthetic Control Method Meets the Mariel Boatlift," Journal of Human Resources, University of Wisconsin Press, vol. 54(2), pages 267-309.
  40. David Brady & Zachary Parolin, 2020. "The Levels and Trends in Deep and Extreme Poverty in the United States, 1993–2016," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2337-2360, December.
  41. Jungmin Lee & Sokbae Lee, 2012. "Does it Matter WHO Responded to the Survey? Trends in the U.S. Gender Earnings Gap Revisited," ILR Review, Cornell University, ILR School, vol. 65(1), pages 148-160, January.
  42. Bruce D. Meyer & James X. Sullivan, 2017. "Consumption and income inequality in the US since the 1960s," AEI Economics Working Papers 953873, American Enterprise Institute.
  43. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
  44. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
  45. Jäckle, Annette & Sala, Emanuela & Jenkins, Stephen P. & Lynn, Peter, 2004. "Validation of survey data on income and employment: the ISMIE experience," ISER Working Paper Series 2004-14, Institute for Social and Economic Research.
  46. Caviglia-Harris, Jill L. & Harris, Daniel W., 2005. "Examining the Reliability of Survey Data with Remote Sensing and Geographic Information Systems to Improve Deforestation Modeling," The Review of Regional Studies, Southern Regional Science Association, vol. 35(2), pages 187-205.
  47. Felix Schmutz, 2016. "Measuring the Invisible: An Overview of and Outlook for Tax Non-Compliance Estimates and Measurement Methods for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 152(2), pages 125-177, April.
  48. Xiaohong Chen & Han Hong & Alessandro Tarozzi, 2008. "Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects," Cowles Foundation Discussion Papers 1644, Cowles Foundation for Research in Economics, Yale University.
  49. Nicole Coomer & Walter Wessels, 2013. "The Effect of the Minimum Wage on Covered Teenage Employment," Journal of Labor Research, Springer, vol. 34(3), pages 253-280, September.
  50. Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
  51. Whalley, Alexander, 2011. "Education and labor market risk: Understanding the role of data cleaning," Economics of Education Review, Elsevier, vol. 30(3), pages 528-545, June.
  52. Siwei Cheng & Christopher R. Tamborini & ChangHwan Kim & Arthur Sakamoto, 2019. "Educational Variations in Cohort Trends in the Black-White Earnings Gap Among Men: Evidence From Administrative Earnings Data," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2253-2277, December.
  53. Stefano Iezzi, 2008. "Investors' risk attitude and risky behavior: a Bayesian approach with imperfect information," Temi di discussione (Economic working papers) 692, Bank of Italy, Economic Research and International Relations Area.
  54. Maggie R. Jones, 2014. "Changes in EITC Eligibility and Participation, 2005–2009," CARRA Working Papers 2014-04, Center for Economic Studies, U.S. Census Bureau.
  55. Barry T. Hirsch & Edward J. Schumacher, 2000. "“Earnings Imputation and Bias in Wage Gap Estimates,”," Working Papers 0003, East Carolina University, Department of Economics.
  56. Jeff Biddle & Karen Roberts, 2003. "Claiming Behavior in Workers' Compensation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 759-780, December.
  57. Liu, Long, 2009. "On hourly wages and weekly earnings in the current population survey," Economics Letters, Elsevier, vol. 105(1), pages 113-116, October.
  58. Nathaniel Hendren, 2017. "Knowledge of Future Job Loss and Implications for Unemployment Insurance," American Economic Review, American Economic Association, vol. 107(7), pages 1778-1823, July.
  59. Kristensen, Nicolai & Westergård-Nielsen, Niels C., 2006. "A Large-Scale Validation Study of Measurement Errors in Longitudinal Survey Data," IZA Discussion Papers 2329, Institute of Labor Economics (IZA).
  60. Bollinger, Christopher R. & Hirsch, Barry & Hokayem, Charles M. & Ziliak, James P., 2018. "Trouble in the Tails? What We Know about Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch," IZA Discussion Papers 11710, Institute of Labor Economics (IZA).
  61. Chris Skinner & Nigel Stuttard & Gabriele Beissel‐Durrant & James Jenkins, 2002. "The Measurement of Low Pay in the UK Labour Force Survey," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(supplemen), pages 653-676, December.
  62. Wossen, Tesfamicheal & Alene, Arega & Abdoulaye, Tahirou & Feleke, Shiferaw & Manyong, Victor, 2019. "Agricultural technology adoption and household welfare: Measurement and evidence," Food Policy, Elsevier, vol. 87(C), pages 1-1.
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