Estimating Local Prevalence of Mental Health Problems
AbstractProvision of mental health services is in a state of ?ux as the Patient Protection and A¤ordable Care Act a¤ects provision and cost of medical care and state policymakers grapple with di¢ cult tradeo¤s between budget balance and provi- sion of public medical care. Mental health care provision is actually a relatively small part of the total cost of medical care provision.
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 University of Virginia, Department of Economics in its series Virginia Economics Online Papers with number 396.
Length: 45 pages
Date of creation: Jun 2011
Date of revision:
Contact details of provider:
Web page: http://www.virginia.edu/economics/home.html
mental health prevalence; local area estimation;
Find related papers by JEL classification:
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
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.:
- Vassilis A. Hajivassiliou & Axel Borsch-Supan, 1990.
"Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models,"
Cowles Foundation Discussion Papers
960, Cowles Foundation for Research in Economics, Yale University.
- Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
- Alessandro Tarozzi & Angus Deaton, .
"Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas,"
998, Princeton University, Department of Economics, Industrial Relations Section..
- Alessandro Tarozzi & Angus Deaton, 2009. "Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 773-792, November.
- Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007.
"Poverty alleviation through geographic targeting: How much does disaggregation help?,"
Journal of Development Economics,
Elsevier, vol. 83(1), pages 198-213, May.
- Elbers, Chris & Tomoki Fujii & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2004. "Poverty alleviation through geographic targeting : how much does disaggregation help?," Policy Research Working Paper Series 3419, The World Bank.
- Harold Alderman & Miriam Babita & Gabriel Demombynes & Nthabiseng Makhatha & Berk �zler, 2002. "How Low Can You Go? Combining Census and Survey Data for Mapping Poverty in South Africa," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 11(2), pages 169-200, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Debby Stanford).
If references are entirely missing, you can add them using this form.