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We demonstrate that regression models can be estimated by working independently in a row-wise fashion. We document a … understanding the mechanics of many common regression models. These procedures can be used to speed up the computation of estimates … computed via OLS, IV, Ridge regression, LASSO, Elastic Net, and Non-linear models including probit and logit, with all common …
Persistent link: https://www.econbiz.de/10014437200
In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the importance of a variable, or a set of variables, in econometric models. This algorithmic approach allows us to check the real weight of a variable in a model, avoiding the biases of...
Persistent link: https://www.econbiz.de/10011476420
regression, when faced with so-called common support problems. It also shows how different procedures suggested in the literature …
Persistent link: https://www.econbiz.de/10011607613
In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in …
Persistent link: https://www.econbiz.de/10011946249
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quantile regression technique to calculate returns to lower secondary, upper secondary and tertiary education at different … effect of tertiary education became more acute over the last years. -- returns to education ; quantile regression ; wage …
Persistent link: https://www.econbiz.de/10003115149
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We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function …
Persistent link: https://www.econbiz.de/10002772737