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Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data

Citations

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Cited by:

  1. Stephen P. Jenkins & Fernando Rios-Avila, 2023. "Finite mixture models for linked survey and administrative data: Estimation and postestimation," Stata Journal, StataCorp LLC, vol. 23(1), pages 53-85, March.
  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 15-242, W.E. Upjohn Institute for Employment Research.
  3. Cynthia L. Doniger, 2022. "These Caps Spilleth Over: Equilibrium Effects of Unemployment Insurance," Finance and Economics Discussion Series 2022-074, Board of Governors of the Federal Reserve System (U.S.).
  4. Jeff Larrimore & Jake Mortenson & David Splinter, 2020. "Presence and Persistence of Poverty in US Tax Data," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 383-409, National Bureau of Economic Research, Inc.
  5. Meyer, Bruce D. & Mittag, Nikolas & Wu, Derek, 2024. "Race, Ethnicity, and Measurement Error," IZA Discussion Papers 17349, IZA Network @ LISER.
  6. Hyslop, Dean R. & Townsend, Wilbur, 2017. "Employment misclassification in survey and administrative reports," Economics Letters, Elsevier, vol. 155(C), pages 19-23.
  7. Christian Rutzer & Dragan Filimonovic & Jeffrey T. Macher & Rolf Weder, 2026. "Towards Measuring Disruptive Innovation Across Countries," Papers 2603.17881, arXiv.org.
  8. Xavier Jara & Nicolás Oliva, 2018. "Top income adjustments and tax reforms in Ecuador," WIDER Working Paper Series wp-2018-165, World Institute for Development Economic Research (UNU-WIDER).
  9. Quinn Moore & Irma Perez-Johnson & Robert Santillano, 2018. "Decomposing Differences in Impacts on Survey- and Administrative-Measured Earnings From a Job Training Voucher Experiment," Evaluation Review, , vol. 42(5-6), pages 515-549, October.
  10. 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, IZA Network @ LISER.
  11. Paulus, Alari, 2015. "Tax evasion and measurement error: An econometric analysis of survey data linked with tax records," ISER Working Paper Series 2015-10, Institute for Social and Economic Research.
  12. Whitaker, Stephan D., 2018. "Big Data versus a survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 285-296.
  13. Talip Kilic & Goedele Van den & Gayatri Koolwal & Heather Moylan, 2023. "Are You Being Asked? Impacts of Respondent Selection on Measuring Employment in Malawi," Journal of African Economies, Centre for the Study of African Economies, vol. 32(5), pages 495-522.
  14. Katy Bergstrom & William Dodds & Nicholas Lacoste & Juan Rios, 2025. "Estimating the Welfare Cost of Labor Supply Frictions," Working Papers 2503, Tulane University, Department of Economics.
  15. Jenkins, Stephen P. & Rios-Avila, Fernando, 2020. "Modelling errors in survey and administrative data on employment earnings: Sensitivity to the fraction assumed to have error-free earnings," Economics Letters, Elsevier, vol. 192(C).
  16. Hryshko, Dmytro & Manovskii, Iourii, 2022. "How much consumption insurance in the U.S.?," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 17-33.
  17. Bruce D. Meyer & Nikolas Mittag & Derek Wu, 2024. "Race, Ethnicity, and Measurement Error," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, pages 327-381, National Bureau of Economic Research, Inc.
  18. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, IZA Network @ LISER.
  19. Schmillen, Achim & Umkehrer, Matthias & Wachter, Till von, 2024. "Measurement error in longitudinal earnings data: evidence from Germany," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 58, pages 1-008.
  20. John M. Abowd & Joelle Hillary Abramowitz & Margaret Catherine Levenstein & Kristin McCue & Dhiren Patki & Trivellore Raghunathan & Ann Michelle Rodgers & Matthew D. Shapiro & Nada Wasi & Dawn Zinsser, 2021. "Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning," Working Papers 22-11, Federal Reserve Bank of Boston.
  21. Bhashkar Mazumder, 2015. "Estimating the Intergenerational Elasticity and Rank Association in the U.S.: Overcoming the Current Limitations of Tax Data," Working Paper Series WP-2015-4, Federal Reserve Bank of Chicago.
  22. Alix-Garcia, Jennifer M. & Sims, Katharine R.E. & Costica, Laura, 2021. "Better to be indirect? Testing the accuracy and cost-savings of indirect surveys," World Development, Elsevier, vol. 142(C).
  23. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
  24. Stella Martin, 2025. "We Might Both Be Wrong - Reconciliation of Survey and Administrative Earnings Measurements," CQE Working Papers 11025, Center for Quantitative Economics (CQE), University of Muenster.
  25. P. Jenkins, Stephen & Jäntti, Markus, 2013. "Income mobility," ISER Working Paper Series 2013-23, Institute for Social and Economic Research.
  26. John M. Abowd & Joelle Abramowitz & Margaret C. Levenstein & Kristin McCue & Dhiren Patki & Trivellore Raghunathan & Ann M. Rodgers & Matthew D. Shapiro & Nada Wasi, 2019. "Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data," Working Papers 19-08, Center for Economic Studies, U.S. Census Bureau.
  27. Julia Manzella & Evan Totty & Gary Benedetto, 2019. "A Task-based Approach to Constructing Occupational Categories with Implications for Empirical Research in Labor Economics," Working Papers 19-27, Center for Economic Studies, U.S. Census Bureau.
  28. Emek Basker & Lucia Foster & Martha Stinson, 2024. "Tip of the Iceberg: Tip Reporting at U.S. Restaurants, 2005-2018," Working Papers 24-68, Center for Economic Studies, U.S. Census Bureau.
  29. Robert Moffitt & Sisi Zhang, 2022. "Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 20-25, December.
  30. Nico Thurow, 2025. "Characterizing Measurement Error in the German Socio-Economic Panel Using Linked Survey and Administrative Data," Papers 2501.03015, arXiv.org, revised Aug 2025.
  31. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
  32. Stephan Klasen & Thomas Kneib & Maria C. Lo Bue & Vincenzo Prete, 2025. "What’s behind pro-poor growth? An investigation of its drivers and dynamics," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 23(1), pages 43-69, March.
  33. Péter Elek & János Köllő, 2019. "Eliciting permanent and transitory undeclared work from matched administrative and survey data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(3), pages 547-576, August.
  34. Peter A.G. van Bergeijk, 2017. "Making Data Measurement Errors Transparent: The Case of the IMF," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 18(3), pages 133-154, July.
  35. Burdín, Gabriel & De Rosa, Mauricio & Vigorito, Andrea & Vilá, Joan, 2022. "Falling inequality and the growing capital income share: Reconciling divergent trends in survey and tax data," World Development, Elsevier, vol. 152(C).
  36. Gibson, Matthew, 2021. "Employer Market Power in Silicon Valley," IZA Discussion Papers 14843, IZA Network @ LISER.
  37. Adam Bee & Irena Dushi & Joshua Mitchell & Brad Trenkamp, 2024. "Measuring Income of the Aged in Household Surveys: Evidence from Linked Administrative Records," Working Papers 24-32, Center for Economic Studies, U.S. Census Bureau.
  38. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  39. Robert Moffitt & Sisi Zhang, 2018. "The PSID and Income Volatility: Its Record of Seminal Research and Some New Findings," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 48-81, November.
  40. James P. Ziliak & Charles Hokayem & Christopher R. Bollinger, 2022. "Trends in Earnings Volatility Using Linked Administrative and Survey Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 12-19, December.
  41. Li, Haizheng & Liu, Qinyi & Xu, Yiting, 2024. "Noncognitive Human Capital and Misreporting Behavior in Online Surveys," IZA Discussion Papers 17332, IZA Network @ LISER.
  42. Nora Lustig & Andrea Vigorito, 2025. "The "Missing Rich" in Household Surveys: Causes and Correction Approaches. Extended Version with Technical Appendixes," Documentos de Trabajo (working papers) 25-03, Instituto de Economía - IECON.
  43. Kilic,Talip & Van den Broeck,Goedele & Koolwal,Gayatri B. & Moylan,Heather G., 2020. "Are You Being Asked ? Impacts of Respondent Selection on Measuring Employment," Policy Research Working Paper Series 9152, The World Bank.
  44. Christian Imboden & John Voorheis & Caroline Weber, 2023. "Self-Employment Income Reporting on Surveys," Working Papers 23-19, Center for Economic Studies, U.S. Census Bureau.
  45. Jeff Larrimore & Jacob Mortenson & David Splinter, 2021. "Household Incomes in Tax Data: Using Addresses to Move from Tax-Unit to Household Income Distributions," Journal of Human Resources, University of Wisconsin Press, vol. 56(2), pages 600-631.
  46. Puggioni Daniela & Calderón Mariana & Cebreros Alfonso & Fernández León & Inguanzo José A. & Jaume David, 2022. "Inequality, Income Dynamics, and Transitions of Mexican Workers," Working Papers 2022-14, Banco de México.
  47. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, IZA Network @ LISER.
  48. Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
  49. 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.
  50. Elira Kuka & Na'ama Shenhav, 2024. "Long-Run Effects of Incentivizing Work after Childbirth," American Economic Review, American Economic Association, vol. 114(6), pages 1692-1722, June.
  51. Chris Ball & Judd Ormsby, 2017. "Comparing the Household Economic Survey to administrative records: An analysis of income and benefit receipt," Treasury Analytical Papers Series ap17/01, New Zealand Treasury.
  52. Ferreira, Francisco H. G. & Brunori, Paolo, 2024. "Inherited inequality, meritocracy, and the purpose of economic growth," LSE Research Online Documents on Economics 126263, London School of Economics and Political Science, LSE Library.
  53. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
  54. Michael D. Carr & Robert A. Moffitt & Emily E. Wiemers, 2020. "Reconciling Trends in Volatility: Evidence from the SIPP Survey and Administrative Data," NBER Working Papers 27672, National Bureau of Economic Research, Inc.
  55. Emmanuel Flachaire & Nora Lustig & Andrea Vigorito, 2023. "Underreporting of Top Incomes and Inequality: A Comparison of Correction Methods using Simulations and Linked Survey and Tax Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1033-1059, December.
  56. Madeira, Carlos & Margaretic, Paula, 2022. "The impact of financial literacy on the quality of self-reported financial information," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
  57. Adam Bee & Joshua Mitchell & Nikolas Mittag & Jonathan Rothbaum & Carl Sanders & Lawrence Schmidt & Matthew Unrath, 2023. "National Experimental Wellbeing Statistics - Version 1," Working Papers 23-04, Center for Economic Studies, U.S. Census Bureau.
  58. John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2018. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 183-300.
  59. Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Reconciling Reports: Modelling Employment Earnings and Measurement Errors Using Linked Survey and Administrative Data," IZA Discussion Papers 14405, IZA Network @ LISER.
  60. Andrew S. Green, 2017. "Hours Off the Clock," Working Papers 17-44, Center for Economic Studies, U.S. Census Bureau.
  61. Marco Caliendo & Katrin Huber & Ingo E. Isphording & Jakob Wegmann, 2024. "On the Extent, Correlates, and Consequences of Reporting Bias in Survey Wages," Papers 2411.04751, arXiv.org.
  62. Robert Moffitt & Sisi Zhang, 2018. "Income Volatility and the PSID: Past Research and New Results," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 277-280, May.
  63. 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.
  64. Zhuan Pei & Yi Shen, 2017. "The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 455-502, Emerald Group Publishing Limited.
  65. Adrian Chadi, 2019. "Dissatisfied with life or with being interviewed? Happiness and the motivation to participate in a survey," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 53(3), pages 519-553, October.
  66. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
  67. Kevin Rinz & John Voorheis, 2018. "The Distributional Effects of Minimum Wages: Evidence from Linked Survey and Administrative Data," CARRA Working Papers 2018-02, Center for Economic Studies, U.S. Census Bureau.
  68. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
  69. Engzell, Per, 2017. "What Do Books in the Home Proxy For? A Cautionary Tale," Working Paper Series 1/2016, Stockholm University, Swedish Institute for Social Research.
  70. Stefan Angel & Richard Heuberger & Nadja Lamei, 2018. "Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount: Evidence from the Austrian SILC," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 575-603, July.
  71. Holly Monti & Lori Reeder & Martha Stinson, 2018. "How long do early career decisions follow women? The impact of industry and firm size history on the gender and motherhood wage gaps," Working Papers 18-05, Center for Economic Studies, U.S. Census Bureau.
  72. Daniel Kuehn, 2016. "An estimate of the error in self-reported college major," Applied Economics Letters, Taylor & Francis Journals, vol. 23(11), pages 757-760, July.
  73. Robert Moffitt & John Abowd & Christopher Bollinger & Michael Carr & Charles Hokayem & Kevin McKinney & Emily Wiemers & Sisi Zhang & James Ziliak, 2022. "Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 1-11, December.
  74. Dean R. Hyslop & Wilbur Townsend, 2020. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 457-469, April.
  75. Qiong Wu & Liping Gu, 2024. "Comparing Single- and Multiple-Question Designs of Measuring Family Income in China Family Panel Studies," Sociological Methods & Research, , vol. 53(2), pages 872-897, May.
  76. Bhashkar Mazumder, 2018. "Intergenerational Mobility in the United States: What We Have Learned from the PSID," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 213-234, November.
  77. Dieter Vandelannoote & André Decoster & Toon Vanheukelom & Gerlinde Verbist, 2016. "Evaluating The Quality Of Gross Incomes In SILC: Compare Them With Fiscal Data And Re-calibrate Them Using EUROMOD," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 5-34.
  78. 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.
  79. Michele Lalla & Patrizio Frederic & Daniela Mantovani, 2022. "The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1375-1401, December.
  80. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
  81. A García-Suaza & J Lobo & S Montoya & J Ord��ez & J. D Oviedo, 2022. "Impact of the collection mode on labor income data. A study in the times of COVID19," Documentos de Trabajo 20396, Universidad del Rosario.
  82. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
  83. Scott Barkowski, 2020. "Does government health insurance reduce job lock and job push?," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 122-169, July.
  84. Maddalena Cavicchioli & Michele Lalla, 2022. "Evidences from survey data and fiscal data: nonresponse and measurement errors in annual incomes," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 587-615, September.
  85. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
  86. Hang Kim & Martin Rotemberg & T. Kirk White, 2025. "Manufacturing Dispersion: How Data Cleaning Choices Affect Measured Misallocation and Productivity Growth in the Annual Survey of Manufactures," Working Papers 25-67, Center for Economic Studies, U.S. Census Bureau.
  87. repec:iab:iabjlr:v:58:p:art.08 is not listed on IDEAS
  88. Holly Monti & Martha Stinson & Lori Zehr, 2020. "How Long Do Early Career Decisions Follow Women? The Impact of Employer History on the Gender Wage Gap," Journal of Labor Research, Springer, vol. 41(3), pages 189-232, September.
  89. Lustig, Nora & Vigorito, Andrea, 2025. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," SocArXiv 97ng6_v1, Center for Open Science.
  90. Richard Dorsett & Richard Hendra & Philip K. Robins, 2018. "Using Administrative Data to Explore the Effect of Survey Nonresponse in the UK Employment Retention and Advancement Demonstration," Evaluation Review, , vol. 42(5-6), pages 491-514, October.
  91. Ignacio Flores, 2021. "The capital share and income inequality: Increasing gaps between micro and macro-data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 685-706, December.
  92. Søndergaard, J., 2023. "Undeclared Danish Labor: Using the labor input method with linked individual-level tax data to estimate undeclared work in Denmark," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 708-730.
  93. Tullio, Federico, 2025. "Dynamics and measurement error in household income data collected with single questions," MPRA Paper 124151, University Library of Munich, Germany.
  94. Daniela Puggioni & Mariana Calderón & Alfonso Cebreros Zurita & León Fernández Bujanda & José Antonio Inguanzo González & David Jaume, 2022. "Inequality, income dynamics, and worker transitions: The case of Mexico," Quantitative Economics, Econometric Society, vol. 13(4), pages 1669-1705, November.
  95. repec:osf:socarx:ve4z7_v1 is not listed on IDEAS
  96. H. Xavier Jara & Nicolás Oliva, 2018. "Top income adjustments and tax reforms in Ecuador," WIDER Working Paper Series 165, World Institute for Development Economic Research (UNU-WIDER).
  97. 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, IZA Network @ LISER.
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