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Table 1 Estimates of the public pay gap EU-SILC 25 countries (Continued)

From: Understanding the public sector pay gap

Hungary (HU) 0.180 0.042 0.075 −0.003 0.128
  (0.006) (0.006) (0.008) (0.008) (0.008)
Poland (PL) 0.301 0.119 0.117 0.120 0.127
  (0.005) (0.005) (0.006) (0.008) (0.007)
Sweden (SE) −0.040 −0.123 −0.127 −0.118 0.034
  (0.011) (0.012) (0.015) (0.021) (0.017)
United Kingdom (UK) 0.088 0.015 0.016 0.013 0.129
  (0.006) (0.005) (0.007) (0.009) (0.007)
Iceland (IS) −0.037 −0.123 −0.126 −0.111 0.022
  (0.006) (0.010) (0.012) (0.020) (0.013)
Norway (NO) −0.067 −0.135 −0.134 −0.132 0.010
  (0.013) (0.014) (0.021) (0.020) (0.019)
Controls No Yes Yes Yes Yes
Public sector defined as Broad Broad Broad Broad Restricted
  1. Notes: This table shows the estimates of the public sector pay gap conditional on observable characteristics (Eq. 1). The public sector is defined as industries (NACE Rev. 2) O (Public Administration), P (Education), and Q (Health and social work), except column (5), where the public sector only comprises the industry O. The dependent variable is gross income per hour, computed as the ratio of individual gross monthly earnings (including only monetary earnings and excluding financial income from investments, assets, savings, stocks, and shares) before netting out taxes and social contributions and the number of hours worked per week in the main job. Controls include the following: binary variables denoting public sector (which coefficient is shown) married status, low and high education, managerial position, part-time job, gender, year, and region fixed effects, as well as a second-degree polynomial in experience (or age and age squared whenever information on experience is not available). The specification of column (1) does not include observable characteristics (unconditional public sector pay gap). Robust standard errors are in parenthesis, clustered at the individual level
  2. Significance levels: 10%; 5%; 1%