This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

On the Importance of Full versus Partial Age-Adjustment in Ecological Studies of Social Determinants of Mortality

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jeffrey Milyo
Jennifer M. Mellor

Additional information is available for the following registered author(s):

Abstract

Objective: To illustrate the potential sensitivity of ecological associations between mortality and certain socioeconomic factors to different methods of age-adjustment. Data Sources: Secondary analysis employing state-level data from several publicly available sources. Crude and age-adjusted mortality rates for 1990 are obtained from the U.S. Centers for Disease Control. The Gini coefficient for family income and percent of persons below the federal poverty line are from the U.S. Bureau of Labor Statistics. Putnam (2000)’s Social Capital index is downloaded from www.bowlingalone.com; the Social Mistrust index is calculated from responses to the General Social Survey, according to the method described in Kawachi et al. (1998). All other co-variates are obtained from the U.S. Census Bureau. Study Design: We use least squares regression to estimate the effect of several state-level socioeconomic factors on mortality rates. We examine whether these statistical associations are sensitive to the use of alternative methods of accounting for the different age composition of state populations. Following several previous studies, we present results for the case when only mortality rates are age-adjusted. We contrast these results with those obtained when age variables are included as controls in the regression analysis. Principle Findings: Partial age-adjustment is shown to yield a strong and significant association between mortality and each socioeconomic factor. Full age-adjustment produces no such association between mortality and either income inequality, minority racial concentration or social capital. Conclusions: Ecological associations between certain socioeconomic factors and mortality may be extremely sensitive to different age-adjustment methods.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://harrisschool.uchicago.edu/about/publications/working-papers/pdf/wp_02_07.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Harris School of Public Policy Studies, University of Chicago in its series Working Papers with number 0207.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Oct 2002
Date of revision:
Handle: RePEc:har:wpaper:0207

Contact details of provider:
Postal: 1155 East 60th Street, Chicago, IL 60637
Phone: 773-702-8400
Email:
Web page: http://harrisschool.uchicago.edu/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Eleanor Cartelli).

Related research
Keywords: mortality; age-adjustments; social determinants; ecological studies;

Other versions of this item:

References listed on IDEAS
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.:
  1. Jennifer M. Mellor & Jeffrey Milyo, 1999. "Re-Examining the Evidence of an Ecological Association between Income Inequality and Health," Discussion Papers Series, Department of Economics, Tufts University 9922, Department of Economics, Tufts University. [Downloadable!]
  2. Victor R. Fuchs & Mark McClellan & Jonathan Skinner, 2001. "Area Differences in Utilization of Medical Care and Mortality Among U.S. Elderly," NBER Working Papers 8628, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  3. Angus Deaton & Darren Lubotsky, 2002. "Mortality, inequality and race in American cities and states," Working Papers 263, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing.. [Downloadable!]
    Other versions:
  4. Jeffrey Milyo & Ira Parnerkar, 2003. "Income Inequality, Social Capital and Mortality: Re-examining the State-Level Data," Working Papers 0309, Harris School of Public Policy Studies, University of Chicago. [Downloadable!]
  5. Douglas Miller & Christina Paxson, 2001. "Relative Income, Race, and Mortality," Working Papers 269, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing.. [Downloadable!]
    Other versions:
Full references

Cited by:
(explanations, 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.)

  1. Jeffrey Milyo & Jennifer M. Mellor, 2004. "State Social Capital and Individual Health Status," Working Papers 0419, Department of Economics, University of Missouri. [Downloadable!]
    Other versions:
  2. Stavros Petrou & Emil Kupek, 2008. "Social capital and its relationship with measures of health status: evidence from the Health Survey for England 2003," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 127-143. [Downloadable!]
Statistics
Access and download statistics

Did you know? You may want to explore EconPapers, which displays the same data as IDEAS in a different way.

This page was last updated on 2009-10-27.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.