José A F Machado
Biographic Data
| ID | 6362014 |
|---|---|
| NAME | José A F Machado |
| GIVEN NAMES | José A F |
| FAMILY NAME | Machado |
| SIGNATURE | MACHADO J A F |
| AFFILIATIONS | Universidade Nova de Lisboa |
| ORCID | 0000-0002-9005-8796 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Economic applications of quantile regression 2.0
Twenty years ago, Empirical Economics was instrumental in supporting a conference at the University of Konstanz on economic applications of quantile regression that attracted a number of influential research papers that were subsequently published by the journal (see Quantile regression has continued to flourish throughout applied economics since then, and in June of 2019, a second conference was held at the new campus of the Nova School of Busin…
Quantiles via moments
A Note on Identification With Averaged Data
In most cases where estimation with averaged data is performed, interest lies on the parameters of a model at the individual level, but grouped data are used because disaggregate data are not observed. In this note we study the conditions under which it is possible to consistently estimate the parameters of the individual data model using averaged data, giving particular attention to the case of endogenous selection into groups.We are grateful to…
Counterfactual decomposition of changes in wage distributions using quantile regression
We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes. The method is based on the estimation of marginal wage distributions consistent with a conditional distribution estimated by quantile regression as well as with any hypothesized distribution for the covariates. Comparing the marginal distributions implied by different distributions for the covariates, one i…
No prominent works on this page.
Counterfactual decomposition of changes in wage distributions using quantile regression
We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes. The method is based on the estimation of marginal wage distributions consistent with a conditional distribution estimated by quantile regression as well as with any hypothesized distribution for the covariates. Comparing the marginal distributions implied by different distributions for the covariates, one i…
A Note on Identification With Averaged Data
In most cases where estimation with averaged data is performed, interest lies on the parameters of a model at the individual level, but grouped data are used because disaggregate data are not observed. In this note we study the conditions under which it is possible to consistently estimate the parameters of the individual data model using averaged data, giving particular attention to the case of endogenous selection into groups.We are grateful to…
Quantiles via moments
Economic applications of quantile regression 2.0
Twenty years ago, Empirical Economics was instrumental in supporting a conference at the University of Konstanz on economic applications of quantile regression that attracted a number of influential research papers that were subsequently published by the journal (see Quantile regression has continued to flourish throughout applied economics since then, and in June of 2019, a second conference was held at the new campus of the Nova School of Busin…
Econometrics (3 works) · Mathematics (3 works) · Quantile (3 works) · Quantile regression (3 works) · Statistics (3 works) · Economics (2 works) · Regression (2 works) · Artificial Intelligence (1 works) · Chemistry and Stereochemistry Studies (1 works) · Computer Science (1 works)