Quantile regression of ten selected predictors for earnings (n = 20,000, training set).
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Notes: the selection of the predictors was based on the judgement of the authors, influenced by the results from the two predictor selection methods (L1 regularized regression and Random forest). Q10, Q20, Q50, Q80 and Q90 denote the 10%, 20%, 50%, 80% and 90% quantiles. The results shown are the obtained regression coefficients and the corresponding p values.Quantile regression of ten selected predictors for earnings (n = 20,000, training set).
创建时间：
2015-12-03
