Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates

By Stephen G. Donald, D. Green, Harry J. Paarsch. 2000

202 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6fbe1066cc40a9f95fdcd9854da432c96731bfee

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In Economics and Econometrics

Citations in the corpus

The Measurement of Economic Inequality (2009, background): “Semiparametric approaches to modelling the whole distribution have also been proposed, of which a leading example is Donald et al. (2000) .”
Partial Distributional Policy Effects (2011, unknown): “Firpo, Fortin, and Lemieux (2009) study the impact of marginal location shifts in continuously distributed covariates, and of marginal changes in the conditional distribution of a binary covariate given the remaining covariates.”
Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands (2007, methodology): “Consider a counterfactual random variable YAB with the property that its 2There are other techniques that have the same objective, e.g., Dinardo, Fortin and Lemieux (1996), Lemieux (2002), and Donald, Green, and Paarsch (2000).”
Inference on counterfactual distributions (2009, methodology): “The estimation of this model is the subject of a large and important literature (e.g., Lancaster, 1990, Donald, Green, and Paarsch, 2000, and Dabrowska, 2005).”
Estimation of counterfactual distributions using quantile regression (2006, background): “COROLLARY: and QT achieve the efficiency bounds derived by Firpo (2005). QTET E The proofs of Theorem 2 and its corollary can be found in the appendices B and C.”
Beyond Oaxaca–Blinder: Accounting for differences in household income distributions (2008, unknown): “[18] also rely on maximum likelihood estimates of parameters in a proportional-hazards model, and what is non-parametric about their method is a fine doublepartitioning of the income space, allowing for considerable flexibility in both the estimation of the baseline hazard function, and in the manne”
Equality of Opportunity: Theory and Measurement (2016, methodology): “Pistolesi (2009) borrows a semi-parametric estimation technique from Donald, Green, and Paarsch (2000).”
Equality of Opportunity (1998, methodology): “Pistolesi (2009) borrows a semiparametric estimation technique from Donald et al. (2000).”
Nonparametric estimation of distributional policy effects (2010, unknown): “DiNardo, Fortin, and Lemieux (1996), Donald, Green, and Paarsch (2000), Gosling, Machin, and Meghir (2000) and Machado and Mata (2005) develop policy estimators for more general distributional effects, but rely on various parametric restrictions of the model in (1.1).”
Matching as a Tool to Decompose Wage Gaps (2008, unknown): “Another related semiparametric approach was proposed by Donald, Green, and Paarsch (2000).”