Public-private sector pay differential shows levelling off - new data
The Central Statistics Office (CSO) has published new data on the public-private sector pay differential.
Public-private sector pay differential shows levelling off CSO.
New data shows that there appears to be a levelling off in the public-private sector pay differential.
Data published by the Central Statistics Office (CSO) shows that between 2019-2022 there was no clear trend to the public-private pay differential.
However, the CSO said there does appear to be a levelling off in the public-private sector pay differential from 2016 with slight reductions from 2018-2020.
Figures have generally remained stable over this period with minor fluctuations, according to the CSO.
Due to the impacts of Covid-19 on the labour market and earnings from 2020-2022, the CSO said it is too early to see if further reductions in the public-private pay differential are a definitive trend during this period.
The research paper presents an econometric analysis of the public-private sector pay differential for the period 2019 to 2022.
Darragh Turner, statistician in the Earnings Analysis Division, said that due to the "complex nature" of measuring the public-private pay differential, four different estimates are presented in its paper.
"In the international literature there is no clear uniform method for producing the public-private pay gap, hence, there are a number of methods incorporated in this paper," Mr Turner added. "This ranges from the models used, in this case Ordinary Least Squares (OLS) Regression and Quantile Regression, and also what is included and excluded in the model specifications, i.e. size of enterprise and additional superannuation contribution."
The OLS regression is a statistical method used to estimate the relationship between one or more independent variables, such as occupation, education or nationality and a dependent variable for example, weekly gross pay.
Quantile regression is similar to OLS regression, but instead of predicting the mean of the dependent variable, it predicts specified quantiles.
Models including and excluding size of enterprise as a wage determining characteristic are presented and gross weekly earnings as well as weekly earnings after the deduction of the additional superannuation contribution are considered.
Including and excluding size of enterprise from the models had a significant effect on the pay differential, according to the CSO.
When size of enterprise is included, the public sector discount ranges from minus 4.4 percent to minus 6.6 percent in 2022.
With size of enterprise excluded, the public sector differential ranges from a premium of 0.9 percent to a discount of minus 1.4 percent in 2022.
The size of the pay differential in the public sector was higher for women than for men, meaning women in the public sector have a higher pay differential than men in the public sector when compared to their private sector counterparts.
In a comparison of the public and private sectors for 2022, male employees in the public sector experienced a pay differential ranging from a discount of minus 4.5 percent to a discount of minus 11.0 percent, depending on the model's specification.
Conversely, female workers in the public sector saw a differential that varied from a premium of 6.7 percent to a discount of minus 2.2 percent, again dependent on the model's specification.
