EconPapers    
Economics at your fingertips  
 

Extending Regression Discontinuity Models Beyond the Jump Point

C Ai, Edward Norton and Zheng Yang

Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York

Abstract: This paper proposes a new estimation method for regression discontinuity models, allowing for estimation of a treatment effect beyond the jump point (with additional assumptions). The proposed procedure consistently estimates the treatment effect function, as well as the average outcome in the absence of treatment. The treatment effect estimator is root-N consistent. We apply the method to an important question in health economics–what is the effect of having Medicare insurance on admissions and health care costs after age 65? Our preferred models shows an increase in both admissions and costs after age 65 due to Medicare.

Keywords: Regression discountiuity; Medicare; mortality; health expenditures. (search for similar items in EconPapers)
Date: 2011-07
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.york.ac.uk/media/economics/documents/herc/wp/11_17.pdf Main text (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:yor:hectdg:11/17

Access Statistics for this paper

More papers in Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom. Contact information at EDIRC.
Bibliographic data for series maintained by Jane Rawlings ().

 
Page updated 2025-02-06
Handle: RePEc:yor:hectdg:11/17