The public sector wage premium puzzle

Yi Wang*, Peng Zhou

*Corresponding author for this work

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2 Citations (Scopus)
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Abstract

This paper investigates the public sector wage premium in the UK over the first decade of the 21st century using both econometric and economic modelling methods. A comprehensive literature review is conducted to summarise the four popular types of methods adopted by the traditional microeconometric studies. Application of these methods results in an estimated public sector wage premium equal to 6.5%. Indirect inference is then introduced as a new method of testing and estimating a microfounded economic model. All four types of econometric methods can be used as auxiliary models to summarise the data features, based on which the distance between the actual data and the model-simulated data is assessed. The selection bias can also be tested in a straightforward way under indirect inference.

Original languageEnglish
Pages (from-to)287-307
Number of pages21
JournalInternational Journal of Computational Economics and Econometrics
Volume9
Issue number4
DOIs
Publication statusPublished - 30 Sept 2019

Keywords

  • Indirect inference
  • Microfoundation
  • Propensity score matching
  • Public sector wage premium

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