Validating Longitudinal Earnings in Dynamic Microsimulation Models: The Role of Outliers
AbstractRapid growth in the earnings of the highest earners over the past two and a half decades has contributed to strains on Social Security’s finances and made projecting lifetime earnings on a year-by-year basis – already a complicated technical problem – even more challenging. This project uses various descriptive techniques and high-quality administrative earnings data matched to household surveys to explore related questions about the changing wage distribution. We first describe the characteristics of high earners, both at a point in time and over longer periods (from 1983 through 2010). We then evaluate how well SSA’s MINT7 dynamic microsimulation model projects inequality in the earnings distribution and the long-term characteristics of earnings paths.
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 Center for Retirement Research in its series Working Papers, Center for Retirement Research at Boston College with number wp2013-19.
Length: 89 pages
Date of creation: Sep 2013
Date of revision:
Contact details of provider:
Postal: Hovey House, 140 Commonwealth Avenue, Chestnut Hill, MA 02467
Phone: (617) 552-1762
Fax: (617) 552-0191
Web page: http://crr.bc.edu/
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-09-28 (All new papers)
- NEP-LAB-2013-09-28 (Labour Economics)
- NEP-LMA-2013-09-28 (Labor Markets - Supply, Demand, & Wages)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Amy Grzybowski) or (Christopher F Baum).
If references are entirely missing, you can add them using this form.