A simple but efficient approach to the analysis of multilevel data
AbstractMuch research in health economics revolves around the analysis of hierarchically structured data. For instance, combining characteristics of patients with information pertaining to the general practice (GP) clinic providing treatment is called for in order to investigate important features of the underlying nested structure. In this paper we offer a new treatment of the two-level random-intercept model and state equivalence results for specific estimators, including popular two-step estimators. We show that a certain encompassing regression equation, based on a Mundlak-type specification, provides a surprisingly simple approach to efficient estimation and a straightforward way to assess the assumptions required. As an illustration, we combine unique information on the morbidity of Danish type 2 diabetes patients with information about GP clinics to investigate the association with fee-for-service healthcare expenditure. Our approach allows us to conclude that explanatory power is mainly provided by patient information and patient mix, whereas (possibly unobserved) clinic characteristics seem to play a minor role.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by COHERE - Centre of Health Economics Research, University of Southern Denmark in its series COHERE Working Paper with number 2013:6.
Length: 30 pages
Date of creation: 20 Jun 2013
Date of revision:
Contact details of provider:
Postal: COHERE - Center for Sundhedsøkonomisk Forskning, Institut for Virksomhedsledelse og Økonomi, Syddansk Universitet, Campusvej 55, DK-5230 Odense M, Denmark
Phone: (+45) 6550 3081
Fax: (+45) 6550 3880
Web page: http://www.sdu.dk/Om_SDU/Institutter_centre/cCohere
More information through EDIRC
Multilevel models; random intercepts; nested models; Mundlak device; correlated random effects; 2-step estimation; estimated dependent variables; fee-for-service expenditures; type 2 diabetes;
Find related papers by JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- J. A. Hausman, 1976.
"Specification Tests in Econometrics,"
185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Richard Blundell & Frank Windmeijer, 1997.
"Cluster effects and simultaneity in multilevel models,"
IFS Working Papers
W97/05, Institute for Fiscal Studies.
- Richard Blundell & Frank Windmeijer, 1997. "Cluster effects and simultaneity in multilevel models," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 439-443.
- Laudicella, Mauro & Olsen, Kim Rose & Street, Andrew, 2010. "Examining cost variation across hospital departments-a two-stage multi-level approach using patient-level data," Social Science & Medicine, Elsevier, vol. 71(10), pages 1872-1881, November.
- Kathleen Carey, 2000. "A multilevel modelling approach to analysis of patient costs under managed care," Health Economics, John Wiley & Sons, Ltd., vol. 9(5), pages 435-446.
- Jaya Krishnakumar, 2003. "Time Invariant Variables and Panel Data Models : A Generalised Frisch-Vaugh Theorem and its Implications," Research Papers by the Institute of Economics and Econometrics, Geneva School of Economics and Management, University of Geneva 2004.01, Institut d'Economie et Econométrie, Université de Genève.
- Nigel Rice & Andrew Jones, 1997. "Multilevel models and health economics," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 561-575.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Terkel Christiansen).
If references are entirely missing, you can add them using this form.