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Misreported schooling and returns to education: evidence from the UK

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Author Info
Erich Battistin () (Institute for Fiscal Studies)
Barbara Sianesi () (Institute for Fiscal Studies)

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Abstract

In this paper we study the impact of misreported treatment status on the estimation of causal treatment effects. We characterise the bias introduced by misclassification on the average treatment effect on the treated under the assumption of selection on observables. Although the bias of matching-type estimators computed from misclassified data cannot in general be signed, we show that the bias is most likely to be downward if misclassification does not depend on variables entering the selection-on-observables assumption, or only depends on such variables via the propensity score index. We extend the framework to multiple treatments. We provide results to bound the returns to a number of educational qualifications in the UK semi-parametrically, and by using the unique nature of our data we assess the plausibility for the two biases from measurement error and from omitted variables to cancel out.

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Publisher Info
Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP07/06.

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Length: 51 pp.
Date of creation: Apr 2006
Date of revision:
Handle: RePEc:ifs:cemmap:07/06

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Related research
Keywords: Measurement Error; Misclassification; Programme Evaluation; Returns to Educational Qualifications; Treatment Effect; Bounds;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
I20 - Health, Education, and Welfare - - Education - - - General
J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
  3. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier. [Downloadable!] (restricted)
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    Other versions:
  6. Jo Blanden & Alissa Goodman & Paul Gregg & Stephen Machin, 2002. "Changes in Intergenerational Mobility in Britain," CEE Discussion Papers 0026, Centre for the Economics of Education, LSE. [Downloadable!]
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    Other versions:
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  12. Blundell, Richard, et al, 2000. "The Returns to Higher Education in Britain: Evidence from a British Cohort," Economic Journal, Royal Economic Society, vol. 110(461), pages F82-99, February. [Downloadable!] (restricted)
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  20. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Nicolai Kristensen & Niels Westergaard-Nielsen, 2006. "A Large-Scale Validation Study of Measurement Errors in Longitudinal Survey Data," IZA Discussion Papers 2329, Institute for the Study of Labor (IZA). [Downloadable!]
  2. Erich Battistin & Enrico Rettore & Ugo Trivellato, 2005. "Choosing among alternative classification criteria to measure the labour force state," IFS Working Papers W05/18, Institute for Fiscal Studies. [Downloadable!]
  3. Joop Hartog & Aslan Zorlu, 2009. "How important is homeland education for refugees’ economic position in The Netherlands?," Journal of Population Economics, Springer, vol. 22(1), pages 219-246, January. [Downloadable!] (restricted)
    Other versions:
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