An improvement of quality of statistical matching for survey data using dynamic caliper
Pawel Strawinski
Statistics in Transition new series, 2011, vol. 12, issue 3, 595-608
Abstract:
Nowadays, matching is a widely used technique to estimate program net effects. The goal of the method is to establish a counterfactual state by choosing from the control pool a group that is similar to those in the treatment group. In this article we propose a modification of the matching with caliper procedure. The novelty in our approach is setting the caliper value as a fraction of estimated propensity score. The simulation results and examples are presented. Using Deheija and Wahba (1999) data benefits of the proposed approach are stressed. The obtained results indicate that proposed approach is more efficient than the one traditionally used.
Keywords: matching; propensity score; caliper; evaluation (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v12_2011_i3_n22.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:12:y:2011:i:3:p:595-608
Access Statistics for this article
Statistics in Transition new series is currently edited by Włodzimierz Okrasa
More articles in Statistics in Transition new series from Główny Urząd Statystyczny (Polska) Contact information at EDIRC.
Bibliographic data for series maintained by Beata Witek ( this e-mail address is bad, please contact ).