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Assessing the usability of the Western Cape Graduate Destination Survey for the analysis of labour market outcomes

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  • Nicola Branson

    (Southern Africa Labour Development Research Unit, University of Cape Town)

  • Murray Leibbrandt

    (Southern Africa Labour Development Research Unit, University of Cape Town)

Abstract

Graduate Destination Studies have the potential to provide detailed information about graduate transitions to work that cannot easily be collected in household surveys. However, response rates are typically very low and raise the concern that the nonresponse is not random and inferences using data on those who respond will be inaccurate. This study examines response rates in the Western Cape Graduate Destination Study where 22% of all 2010 university graduates from the four Western Cape universities were successfully interviewed in 2012. We examine differences in observable baseline characteristics, assess the extent of non-response bias for a labour market participation analysis, compared rates of continued study to those in the HEMIS database and implement a selection correction methodology that uses type of email address as an exclusion restriction. We find that those who successfully responded to the survey are more likely to be studying in 2012 and have some systematically different baseline information that signals that response is not random. Our selection correction methodology however finds limited impact for an equation of employment. This study provides important input into plans for a national destination study. We recommend that focus be taken in preparing and standardising the sampling frame and that detailed records of the survey process be kept. In addition, we illustrate the potential benefits of linking graduate destination study data with administrative resources to assess bias and supplement the survey information obtained.

Suggested Citation

  • Nicola Branson & Murray Leibbrandt, 2017. "Assessing the usability of the Western Cape Graduate Destination Survey for the analysis of labour market outcomes," SALDRU Working Papers 198, Southern Africa Labour and Development Research Unit, University of Cape Town.
  • Handle: RePEc:ldr:wpaper:198
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    References listed on IDEAS

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    3. Falaris, Evangelos M., 2003. "The effect of survey attrition in longitudinal surveys: evidence from Peru, Cote d'Ivoire and Vietnam," Journal of Development Economics, Elsevier, vol. 70(1), pages 133-157, February.
    4. Servaas van der Berg & Hendrik van Broekhuizen, 2012. "Graduate unemployment in South Africa: A much exaggerated problem," Working Papers 22/2012, Stellenbosch University, Department of Economics.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. John A. Maluccio, 2004. "Using Quality of Interview Information to Assess Nonrandom Attrition Bias in Developing‐Country Panel Data," Review of Development Economics, Wiley Blackwell, vol. 8(1), pages 91-109, February.
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    Cited by:

    1. Nicola Branson & Amy Kahn, 2016. "The Post Matriculation Enrolment Decision: Do Public Colleges Provide Students with a Viable Alternative? Evidence from the First Four Waves of the National Income Dynamics Study," SALDRU Working Papers 182, Southern Africa Labour and Development Research Unit, University of Cape Town.
    2. Kezia Lilenstein & Ingrid Woolard & Murray Leibbrandt, 2016. "In-Work Poverty in South Africa: The Impact of Income Sharing in the Presence of High Unemployment," SALDRU Working Papers 193, Southern Africa Labour and Development Research Unit, University of Cape Town.

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