Earning functions in Portugal 1982–1994: Evidence from quantile regressions

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Beyond Oaxaca–Blinder: Accounting for differences in household income distributions (2008, unknown): “[24] and Machado and Mata [32] use quantile regression estimates to construct counterfactual distributions that help them understand the evolution of wage structures over the years, in the UK and Portugal, respectively.”
Counterfactual decomposition of changes in wage distributions using quantile regression (2005, result): “These estimates are very much in line with the equivalent estimates for Portugal, which are 5%–9% and 2%–8% in 1986 and 8%–9% and 11%–14% in 1995 (Machado and Mata, 2001).”
Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap using Quantile Regression and Counterfactual Decomposition Methods (2005, unknown): “Machado and Mata (2001) found that Portuguese gender wage gap is wider for high paid jobs and the biggest earning differential is located in the middle of the distribution.”
Two‐stage quantile regression when the first stage is based on quantile regression (2004, unknown): “1Buchinsky (1995), Machado and Mata (2001).”