Efficient estimation of data combination models by the method of auxiliary-to-study tilting (ast) / Bryan S. Graham, Cristine Campos de Xavier Pinto, Daniel Egel.
| Author/creator | Graham, Bryan S. |
| Other author | Egel, Daniel. |
| Other author | Pinto, Campos de Xavier. |
| 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 16928 Working paper series (National Bureau of Economic Research : Online) ; working paper no. 16928. UNAUTHORIZED |
| Summary | "We propose a locally efficient, doubly robust, estimator for a class of semiparametric data combination problems. A leading estimand in this class is the average treatment effect on the treated (ATT). Data combination problems are related to, but distinct from, the class of missing data problems analyzed by Robins, Rotnitzky and Zhao (1994) (of which the Average Treatment Effect (ATE) estimand is a special case). Our procedure may be used to efficiently estimate, among other objects, the ATT, the two-sample instrumental variables model (TSIV), counterfactual distributions, and poverty maps. In an empirical application we use our procedure to characterize residual Black-White wage inequality after flexibly controlling for 'pre-market' differences in measured cognitive achievement as in Neal and Johnson (1996). We find that residual Black-White inequality is negligible at lower and higher quantiles of the Black wage distribution, but substantial at middle quantiles"--National Bureau of Economic Research web site. |
| General note | Title from PDF file as viewed on 6/16/2011. |
| 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 | 2011657160 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |