Decomposing Excess Returns in Stochastic Linear Models
AbstractWe present a theorem helpful in estimating the mean and variance of a linear function with arbitrary multivariate randomness in its coefficients and variables. We derive a generalized decomposition result from two random linear functions in which the result can be applied to most models using event study analysis. Taking the 1989 minimum wage hike as an example, we found that the apparent lack of an effect is a consequence of two off-setting forces: 1) a negative effect arising from firm-specific traits and 2) a positive effect arising from market performance. In sum, we bring to the analysis a method that helps provide additional insights and can be applied to much of the work using event study.
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 Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6237.
Length: 15 pages
Date of creation: Dec 2011
Date of revision:
Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Find related papers by JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
This paper has been announced in the following NEP Reports:
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.:
- Schwert, G William, 1981. "Using Financial Data to Measure Effects of Regulation," Journal of Law and Economics, University of Chicago Press, vol. 24(1), pages 121-58, April.
- Lin, Carl, 2011.
"Give Me Your Wired and Your Highly Skilled: Measuring the Impact of Immigration Policy on Employers and Shareholders,"
IZA Discussion Papers
5754, Institute for the Study of Labor (IZA).
- Carl Lin, 2011. "Give me your wired and your highly skilled: measuring the impact of immigration policy on employers and shareholders," Working Papers 2011/17, Institut d'Economia de Barcelona (IEB).
- Yun, Myeong-Su, 2003.
"Decomposing Differences in the First Moment,"
IZA Discussion Papers
877, Institute for the Study of Labor (IZA).
- Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
- Daniel A. Powers & Hirotoshi Yoshioka & Myeong-Su Yun, 2011. "mvdcmp: Multivariate decomposition for nonlinear response models," Stata Journal, StataCorp LP, vol. 11(4), pages 556-576, December.
- Lin, Carl, 2012. "Less Myth, More Measurement: Decomposing Excess Returns from the 1989 Minimum Wage Hike," IZA Discussion Papers 6269, Institute for the Study of Labor (IZA).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak).
If references are entirely missing, you can add them using this form.