Counterfactual decomposition of changes in wage distributions using quantile regression

By J. Machado, J. Mata. 2005

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View Paper: https://www.semanticscholar.org/paper/1cf8413fb9aa5fc5db095f79bee3cb7af80a742d

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In Economics and Econometrics

Citations in the corpus

Instrumental Variable Quantile Regression (2004, methodology): “This discussion suggests that given estimators of the parameters α0(τ) and β0(τ) and the distribution of covariates FX(x), unconditional QTE can be estimated based on the plug-in principle; see for instance Machado and Mata (2005), Melly (2005) or Chernozhukov et al. (2013a).”
A quantile regression decomposition of urban–rural inequality in Vietnam (2007, positive): “To isolate the effects of differences in the urban and rural covariate distributions from differences in the returns to the covariates, we apply the Machado-Mata (2005) technique to decompose the urban-rural gap across the entire distribution, as was previously done in Albrecht, Björklund, and…”
The U.S. Gender Pay Gap in the 1990S: Slowing Convergence (2006, positive): “A different approach is used for the last set of results (III) where we construct counterfactual wage distributions for each year using a technique proposed by Machado and Mata (2005) and compute the gender gap at the 50th and 90th percentiles of these counterfactuals.”
Gender Wage Gap: A Semi-Parametric Approach with Sample Selection Correction (2011, positive): “The basic idea of the procedure is an alternative way of extending Oaxaca’s (1973) decomposition of effects on mean wages to the entire wage distribution and is in line with the underlying idea of Machado and Mata (2005). In the next subsection, we explain how, as in Albrecht et al.”
Ceiling and Floors: Gender Wage Gaps by Education in Spain (2005, neutral): “Further, using Machado and Mata (2004) ´s adaptation of the Oaxaca-Blinder decomposition to QR, these patterns remain when we control for the different observable characteristics which men and women bring to the labour market.”
Semiparametric Counterfactual Density Estimation (2021, background): “…study the entire counterfactual distribution [Abadie, 2002, Chernozhukov and Hansen, 2005, Chernozhukov et al., 2013, Díaz, 2017, Firpo, 2007, Fortin et al., 2011, Frölich and Melly, 2013, Machado and Mata, 2005, Melly, 2005, Rothe, 2010, Wang et al., 2018, Wang and Qin, 2010, Zhang et al., 2012].”
On the comparative performance of socially responsible and Islamic mutual funds (2014, methodology): “…and Data Envelopment Analysis (DEA) are, by and large, the most applied methods, Simar and 8Other examples include changes in wage distribution (Machado and Mata, 2005), educational attainment and wage distribution (Lemieux, 2006), innovation and firm growth in high-tech sectors Coad and Rao…”
Trends in U.S. Wage Inequality: Re-Assessing the Revisionists (2005, positive): “First, and potentially less important, we apply and extend a quantile-regression-based modeling technique proposed by Machado and Mata (2005) to simulate counterfactual earnings distributions that account for the separate contributions of prices and composition.”
When Do Covariates Matter? And Which Ones, and How Much? (2016, methodology): “Other decomposition methods for nonlinear situations are suggested by, e.g., Elder, Goddeeris and Haider (2013) and Machado and Mata (2005).”
The Gender Pay Gap In Vietnam, 1993-2002: A Quantile Regression Approach (2007, methodology): “In this 10 paper, however, we use a variation of an approach originally suggested by Machado and Mata (2005) to derive the characteristics at different quantiles of the wage distribution.”
Unconditional Quantile Regressions (2007, positive): “12This is essentially what Machado and Mata (2005) suggest to do, since they propose estimating the whole conditional distribution by running (conditional) quantile regressions for each and every possible quantile.”
Trends in U.S. Wage Inequality: Revising the Revisionists (2008, methodology): “…as worthwhile because it permits a direct assessment of the 24 In Autor, Katz, & Kearney (2005), we provide a more complete reanalysis of Lemieux (2006b) using a quantile decomposition approach proposed by Machado and Mata (2005) and comparing the findings for the CPS March and May/ORG samples.”