Unconditional quantile regressions / Sergio Firpo, Nicole M. Fortin, Thomas Lemieux.
| Author/creator | Firpo, Sergio |
| Other author | Fortin, Nicole M. |
| Other author | Lemieux, Thomas. |
| Other author | National Bureau of Economic Research. |
| Format | Electronic |
| Publication Info | Cambridge, MA : National Bureau of Economic Research, |
| Supplemental Content | Full text available from NBER Working Papers |
| Series | NBER working paper series ; working paper . 339 Working paper series (National Bureau of Economic Research : Online) ; working paper no. . 339. UNAUTHORIZED |
| Summary | "We propose a new regression method to estimate the impact of explanatory variables on quantiles of the unconditional (marginal) distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of the unconditional quantile on the explanatory variables. The influence function is a widely used tool in robust estimation that can easily be computed for each quantile of interest. We show how standard partial effects, as well as policy effects, can be estimated using our regression approach. We propose three different regression estimators based on a standard OLS regression (RIF-OLS), a logit regression (RIF-Logit), and a nonparametric logit regression (RIF-OLS). We also discuss how our approach can be generalized to other distributional statistics besides quantiles"--National Bureau of Economic Research web site. |
| General note | Title from PDF file as viewed on 8/16/2007. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Other forms | Also available in print. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2007616404 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |