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Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the MABEL Survey

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  • Cheng, T. C.;
  • Trivedi, P. K.;

Abstract

This paper investigates the nature and consequences of sample attrition in a unique longitudinal survey of medical doctors. We describe the patterns of non-response and examine if attrition affects the econometric analysis of medical labour market outcomes using the estimation of physician earnings equations as a case study. Descriptive evidence show that doctors who work longer hours, have lower years of experience, are overseas trained, and have changed their work location are more likely to drop out. Estimates from a number of different econometric models indicate that attrition does not have a significant impact on the estimation of physician earnings. We discuss how the top-up samples in MABEL survey can be used to address the problem of panel attrition.

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Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 14/04.

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Date of creation: Jan 2014
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Handle: RePEc:yor:hectdg:14/04

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Keywords: Attrition; MABEL longitudinal survey; Medical doctors; Earnings;

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