Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20567| Title: | Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong |
| Keywords: | C61 C14 ddc:330 matching algorithms optimal full matching selection into treatment Mikroökonometrie Matching Bildungsertrag Schätzung Theorie Vereinigte Staaten |
| Issue Date: | 16-Oct-2013 |
| Publisher: | |
| Description: | This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching – a fully efficient algorithm – and present a framework for statistical inference. The implementation uses data from the NLSY79 to study the effect of college education on earnings. We find that decisions regarding the matching algorithm depend on the structure of the data: In the case of strong selection into treatment and treatment effect heterogeneity a full matching seems preferable. If heterogeneity is weak, pair matching suffices. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/10419/20567 |
| Other Identifiers: | http://hdl.handle.net/10419/20567 ppn:464453011 |
| Appears in Collections: | EconStor |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.