Using the MAX-NHANES Merged Data to Evaluate the Association of Obesity and Medicaid Costs
AbstractThis brief presents the results of the first study conducted using the newly merged Medicaid Analytic eXtract (MAX) and National Health and Nutrition Examination Survey (NHANES) data. The study evaluated the association between Medicaid costs and obesity among adults in 1999â€“2004. Although the estimated costs were higher for obese adults than for non-obese adults, the combination of a small sample size for NHANES data, wide variation in costs among Medicaid enrollees, and the necessity of controlling for state variation yielded an unstable model with imprecisely estimated relationships. The results demonstrate the hazard of using a small national survey (NHANES) with a state-based data system (MAX) to perform cost analyses, particularly when the range of realistic costs is large.
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 Mathematica Policy Research in its series Mathematica Policy Research Reports with number 7661.
Date of creation: 30 Jan 2013
Date of revision:
Contact details of provider:
Postal: Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications
Fax: (609) 799-0005
Web page: http://www.mathematica-mpr.com/
More information through EDIRC
Medicaid Analytic eXtract (MAX) ; Medicaid enrollment ; The National Health and Nutrition Examination Survey (NHANES); data to evaluate the association of Medicaid costs and obesity;
Find related papers by JEL classification:
- I - Health, Education, and Welfare
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joanne Pfleiderer) or (Joanne Lustig).
If references are entirely missing, you can add them using this form.