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.
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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
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