Evaluating state tax revenue variability: a portfolio approach
AbstractState revenue variability is evaluated using a volatility model rooted in portfolio theory. The model evaluates how closely a state's revenue portfolio is constructed to minimize variability in total state tax revenue. The model complements parametric methods of revenue variability.
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 Federal Reserve Bank of St. Louis in its series Working Papers with number 2006-008.
Date of creation: 2006
Date of revision:
Other versions of this item:
- Thomas Garrett, 2009. "Evaluating state tax revenue variability: a portfolio approach," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 243-246.
- NEP-ALL-2006-03-18 (All new papers)
- NEP-FIN-2006-03-18 (Finance)
- NEP-PBE-2006-03-18 (Public Economics)
- NEP-PUB-2006-03-18 (Public Finance)
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.:
- Tim Besley, 2002.
"Political institutions and policy choices: evidence from the United States,"
IFS Working Papers
W02/13, Institute for Fiscal Studies.
- Timothy Besley & Anne Case, 2003. "Political Institutions and Policy Choices: Evidence from the United States," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 7-73, March.
- Besley, Timothy J. & Case, Anne, 2002. "Political Institutions and Policy Choices: Evidence from the United States," CEPR Discussion Papers 3498, C.E.P.R. Discussion Papers.
- Sobel, Russell S. & Holcombe, Randall G., 1996. "Measuring the Growth and Variability of Tax Bases over the Business Cycle," National Tax Journal, National Tax Association, vol. 49(4), pages 535-52, December .
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anna Xiao).
If references are entirely missing, you can add them using this form.