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Measurement Error and Misclassification: A Comparison of Survey and Administrative Data

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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 LP, 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. Hyslop, Dean R. & Townsend, Wilbur, 2017. "Employment misclassification in survey and administrative reports," Economics Letters, Elsevier, vol. 155(C), pages 19-23.
  4. 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).
  5. 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.
  6. 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).
  7. Deborah A. Cobb‐Clark & Stefanie Schurer, 2013. "Two Economists' Musings on the Stability of Locus of Control," Economic Journal, Royal Economic Society, vol. 0, pages 358-400, August.
  8. Paolo Consolini & Gabriella Donatiello, 2015. "Multi-source data collection strategy and microsimulation techniques for the Italian EU-SILC," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 77-96.
  9. 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.
  10. Li, Hao & Millimet, Daniel L. & Roychowdhury, Punarjit, 2019. "Measuring Economic Mobility in India Using Noisy Data: A Partial Identification Approach," IZA Discussion Papers 12505, Institute of Labor Economics (IZA).
  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. Boockmann, Bernhard & Kirchmann, Andrea & Kleinemeier, Rita & Krause-Pilatus, Annabelle & Maier, Anastasia & Nottmeyer, Olga & Reiner, Marcel & Schafstädt, Christin & Scheu, Tobias & Zühlke, Anne & Bo, 2021. "Allgemeiner gesetzlicher Mindestlohn: seine Kontrolle und Durchsetzung sowie bürokratische Kosten für Arbeitgeber," IZA Research Reports 106, Institute of Labor Economics (IZA).
  14. 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).
  15. Bachmann, Ronald & Bonin, Holger & Boockmann, Bernhard & Demir, Gökay & Felder, Rahel & Isphording, Ingo & Kalweit, René & Laub, Natalie & Vonnahme, Christina & Zimpelmann, Christian, 2020. "Auswirkungen des gesetzlichen Mindestlohns auf Löhne und Arbeitszeiten: Studie im Auftrag der Mindestlohnkommission," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 222998.
  16. Zachary Parolin, 2019. "The Effect of Benefit Underreporting on Estimates of Poverty in the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 869-898, July.
  17. Bonin, Holger & Pestel, Nico, 2020. "Der Mindestlohn birgt nach wie vor Beschäftigungsrisiken," IZA Standpunkte 98, Institute of Labor Economics (IZA).
  18. 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.
  19. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
  20. Stephen P. Jenkins & Fernando Rios‐Avila, 2021. "Measurement error in earnings data: Replication of Meijer, Rohwedder, and Wansbeek's mixture model approach to combining survey and register data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 474-483, June.
  21. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
  22. David E. Card & David S. Lee & Zhuan Pei & Andrea Weber, 2012. "Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design," NRN working papers 2012-14, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
  23. Michael Gideon, 2017. "Do Individuals Perceive Income Tax Rates Correctly?," Public Finance Review, , vol. 45(1), pages 97-117, January.
  24. Stephen Jenkins & Fernando Rios-Avila, 2021. "Measurement error and misclassification in linked earnings data: Estimation of the Kapteyn and Ypma model," 2021 Stata Conference 33, Stata Users Group.
  25. Andreasch Michael & Lindner Peter, 2016. "Micro- and Macrodata: a Comparison of the Household Finance and Consumption Survey with Financial Accounts in Austria," Journal of Official Statistics, Sciendo, vol. 32(1), pages 1-28, March.
  26. Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  27. 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.
  28. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2022. "Model of Errors in BMI Based on Self‐reported and Measured Anthropometrics with Evidence from Brazilian Data," CINCH Working Paper Series (since 2020) 76143, Duisburg-Essen University Library, DuEPublico.
  29. Erik Meijer & Susann Rohwedder & Tom Wansbeek, 2008. "Prediction of Latent Variables in a Mixture of Structural Equation Models, with an Application to the Discrepancy Between Survey and Register Data," Working Papers 584, RAND Corporation.
  30. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2017. "Regression Kink Design: Theory and Practice," Advances in Econometrics, in: Regression Discontinuity Designs, volume 38, pages 341-382, Emerald Group Publishing Limited.
  31. 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".
  32. repec:iab:iabfme:202102(en is not listed on IDEAS
  33. 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.
  34. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
  35. 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.
  36. Crossley, Thomas F. & Fisher, Paul & Hussein, Omar, 2023. "Assessing data from summary questions about earnings and income," Labour Economics, Elsevier, vol. 81(C).
  37. 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.
  38. Heiko Stüber & Markus M. Grabka & Daniel D. Schnitzlein, 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-18, December.
  39. Hoffmann, Rasmus & Kröger, Hannes & Pakpahan, Eduwin, 2018. "Pathways between socioeconomic status and health: Does health selection or social causation dominate in Europe?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 36, pages 23-36.
  40. Daniel L. Millimet & Hao Li & Punarjit Roychowdhury, 2020. "Partial Identification of Economic Mobility: With an Application to the United States," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 732-753, October.
  41. Van-Ha Le & Jakob de Haan & Erik Dietzenbacher & Jakob de Haan, 2013. "Do Higher Government Wages Reduce Corruption? Evidence Based on a Novel Dataset," CESifo Working Paper Series 4254, CESifo.
  42. 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.
  43. Nayoung Lee, 2022. "Measurement error and its impact on estimates of income dynamics," Empirical Economics, Springer, vol. 63(5), pages 2539-2550, November.
  44. Brodeur, Abel & Cook, Nikolai & Neisser, Carina, 2022. "P-Hacking, Data Type and Data-Sharing Policy," IZA Discussion Papers 15586, Institute of Labor Economics (IZA).
  45. Burt S. Barnow & David Greenberg, 2015. "Do Estimated Impacts on Earnings Depend on the Source of the Data Used to Measure Them? Evidence From Previous Social Experiments," Evaluation Review, , vol. 39(2), pages 179-228, April.
  46. 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).
  47. 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.
  48. 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, Institute of Labor Economics (IZA).
  49. Christian Philipp Rudolf Schmid, 2017. "Unobserved health care expenditures: How important is censoring in register data?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1807-1812, December.
  50. 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.
  51. Pudney, Stephen, 2009. "Participation in disability benefit programmes: a partial identification analysis of the British Attendance Allowance system," ISER Working Paper Series 2009-19, Institute for Social and Economic Research.
  52. Martin Browning & Thomas F. Crossley & Joachim Winter, 2014. "The Measurement of Household Consumption Expenditures," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 475-501, August.
  53. Herman Kruse, 2021. "Joint Retirement in Couples: Evidence of Complementarity in Leisure," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 995-1024, July.
  54. 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.
  55. Bachmann, Ronald & Boockmann, Bernhard & Gonschor, Myrielle & Kalweit, René & Klauser, Roman & Laub, Natalie & Rulff, Christian & Vonnahme, Christina, 2022. "Auswirkungen des gesetzlichen Mindestlohns auf Löhne und Arbeitszeiten," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 264288.
  56. R. Bollinger, Christopher & Valentinova Tasseva, Iva, 2022. "Income source confusion using the SILC," ISER Working Paper Series 2022-04, Institute for Social and Economic Research.
  57. Gürtzgen, Nicole & Küfner, Benjamin, 2021. "Hirings in the IAB Job Vacancy Survey and the administrative data - an aggregate comparison," FDZ Methodenreport 202102_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  58. 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.
  59. 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.
  60. 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.
  61. Cobb-Clark, Deborah & Schurer, Stefanie, 2011. "Two economists’ musings on the stability of locus of control," Working Paper Series 1619, Victoria University of Wellington, School of Economics and Finance.
  62. 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.
  63. 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.
  64. Jule Adriaans & Peter Valet & Stefan Liebig, 2020. "Comparing administrative and survey data: Is information on education from administrative records of the German Institute for Employment Research consistent with survey self-reports?," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 3-25, February.
  65. Koch, Andreas & Kirchmann, Andrea & Reiner, Marcel & Scheu, Tobias & Zühlke, Anne & Bonin, Holger, 2020. "Verhaltensmuster von Betrieben und Beschäftigten im Kontext des gesetzlichen Mindestlohns," IZA Research Reports 97, Institute of Labor Economics (IZA).
  66. 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.
  67. Manan Roy, 2012. "Identifying the Effect of WIC on Infant Health When Participation is Endogenous and Misreported," Departmental Working Papers 1202, Southern Methodist University, Department of Economics.
  68. 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.
  69. John Ameriks & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2015. "The Wealth of Wealthholders," NBER Working Papers 20972, National Bureau of Economic Research, Inc.
  70. ChangHwan Kim & Christopher R. Tamborini, 2014. "Response Error in Earnings," Sociological Methods & Research, , vol. 43(1), pages 39-72, February.
  71. Peter Valet & Jule Adriaans & Stefan Liebig, 2019. "Comparing survey data and administrative records on gross earnings: nonreporting, misreporting, interviewer presence and earnings inequality," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 471-491, January.
  72. Jeffrey A. Groen, 2011. "Seasonal Differences in Employment between Survey and Administrative Data," Working Papers 443, U.S. Bureau of Labor Statistics.
  73. 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).
  74. Jaanika Meriküll & Tairi Rõõm, 2020. "Stress Tests of the Household Sector Using Microdata from Survey and Administrative Sources," International Journal of Central Banking, International Journal of Central Banking, vol. 16(2), pages 203-248, March.
  75. 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).
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