Inferences for Selected Location Quotients with Applications to Health Outcomes
AbstractLocation quotient (LQ) is an index frequently used in geography and economics to measure the relative concentration of activities. This quotient is calculated in a variety of ways depending on which group to use as a reference. Here, we focus on simultaneous inference for the ratios of the individual proportions to the overall proportion based on binomial data. Apparently, this is a multiple comparison problem and multiplicity adjusted location quotients have not been addressed up to now. In fact, there is a negative correlation between the comparisons. The quotients can be simultaneously tested against unity and simultaneous confidence intervals can be constructed for the LQs based on existing probability inequalities and by directly using the asymptotic joint distribution of the associated z-statistics. The proposed inferences are appropriate for analysis based on sample surveys. A real data set is used to demonstrate the application of multiplicity adjusted LQs. A simulation study is also carried out to assess the performance of the proposed methods in terms of achieving a nominal coverage probability. It is observed that the coverage of the simple Bonferroni adjusted Fieller intervals for LQs is just as good as the coverage of the method which directly takes the correlations into account.
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 Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200809.
Date of creation: Sep 2008
Date of revision:
Contact details of provider:
Web page: http://www.mtsu.edu/~berc/working/Economics_Working_Papers.html
More information through EDIRC
Location quotients; Fieller's theorem; Multiple comparison.;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-13 (All new papers)
- NEP-ECM-2008-09-13 (Econometrics)
- NEP-HEA-2008-09-13 (Health Economics)
- NEP-URE-2008-09-13 (Urban & Real Estate Economics)
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.:
- Philip Mccann & John H. LL. Dewhurst, 1998.
"Regional Size, Industrial Location and Input-Output Expenditure Coefficients,"
Taylor & Francis Journals, vol. 32(5), pages 435-444.
- JH Ll DEWHURST, . "Regional Size, Industrial Location And Input-Output Expenditure Coefficients," Dundee Discussion Papers in Economics 074, Economic Studies, University of Dundee.
- Billings, Stephen B. & Johnson, Erik B., 2012. "The location quotient as an estimator of industrial concentration," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 642-647.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (E. Anthon Eff).
If references are entirely missing, you can add them using this form.