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The effect of careers guidance for employed adults on continuing education: assessing the importance of attitudinal information

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  • Michael White
  • John Killeen

Abstract

Summary. The validity of the matching estimator in programme evaluation depends on the completeness of the set of variables that are used for matching. When an attitudinal variable is relevant for the decision about participation, but is either unmeasured or measured only after entry to the programme, estimates of effects may be biased or difficult to interpret. This issue was investigated with data from an evaluation study of careers guidance for employed adults which utilized the method of propensity score matching. Job satisfaction, measured shortly after entry to the programme, was found to be strongly associated with participation but might itself have been influenced by the early experience of careers guidance. Estimates of the effects of guidance were considered both including and excluding the job satisfaction measure from the participation model. Data experiments with adjusted values of job satisfaction were also performed. The results illustrate that omitted attitudinal information poses a particular difficulty for the matching estimator.

Suggested Citation

  • Michael White & John Killeen, 2002. "The effect of careers guidance for employed adults on continuing education: assessing the importance of attitudinal information," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 83-95, February.
    • Handle: RePEc:bla:jorssa:v:165:y:2002:i:1:p:83-95
    DOI: 10.1111/1467-985X.0asp9
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    References listed on IDEAS

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    1. 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.
    2. Fougère, Denis & Crépon, Bruno & Brodaty, Thomas, 2000. "Using Matching Estimators to Evaluate Alternative Youth Employment Programs: Evidence from France, 1986-1988," CEPR Discussion Papers 2604, C.E.P.R. Discussion Papers.
    3. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
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    3. Maciej Jakubowski, 2015. "Latent variables and propensity score matching: a simulation study with application to data from the Programme for International Student Assessment in Poland," Empirical Economics, Springer, vol. 48(3), pages 1287-1325, May.

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