National Academies Press: OpenBook
« Previous: HENDRICKS AND HOLDEN (1976A)
Suggested Citation:"HENDRICKS AND HOLDEN (1976B)." National Research Council. 1991. Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers. Washington, DC: The National Academies Press. doi: 10.17226/1853.
Page 257

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

EVALUATIONS OF MICROSIMULATION MODELS: LITERATURE REVIEW 257 A comparison of labor force participation for the CPS and DYNASIM showed that DYNASIM was relatively more successful at estimating the average labor force aggregated over years for age-sex categories than it was at predicting year-to-year variability, especially for nonwhite males. The same was true, with larger discrepancies, when comparing DYNASIM and the PSID data for work experience. When this analysis was disaggregated by age group (and aggregated by year), the differences between CPS and DYNASIM increased. For instance, for the age group 16–19, DYNASIM estimated that 45 percent of nonwhite males had labor force experience, while the CPS estimated that 59 percent did. When considering the percentage of labor force participants without work experience, the largest difference was that between the CPS and DYNASIM for white females aged 16–19: DYNASIM estimated 20.3 percent and the CPS estimated 5.9 percent. With respect to years with earnings, DYNASIM was least successful in modeling women. For example, for nonwhite women it estimated that 8 percent would have no years with earnings, while the PSID estimated that 19 percent would have none. According to Hendricks and Holden, the problem was that participation probabilities were dependent on several variables, including participation in the preceding year. These variables did not, however, adequately differentiate, over a long period, the degree of labor force attachment. Thus DYNASIM did not predict enough women with little or no labor force participation or with very strong labor force participation. With respect to variations in earnings, DYNASIM and the PSID showed systematic differences between mean annual earnings of workers by race and sex. The DYNASIM figure was lower than the PSID figure for nonwhite males, and it was higher for females of both races. The discrepancies were on the order of 15 percent. Standard deviations of mean annual earnings of workers by year showed substantial differences between the two models. Hendricks and Holden (1976a:30) note that “in each year the standard deviation of simulated earnings from the simulated mean is 10 to 15 percent lower than the corresponding value from the PSID distribution.” On the other hand, with respect to year-to-year variations in individual earnings, DYNASIM had 27–83 percent more variability than the PSID. In their paper, Hendricks and Holden include suggestions for rectifying some of the inadequacies pointed out by the above comparisons. This is a good example of how model validation can result in an improved model. HENDRICKS AND HOLDEN (1976B) Hendricks and Holden (1976b) examined the utility of using DYNASIM in projecting Old-Age, Survivors, and Disability Insurance (OASDI) costs. In their study DYNASIM was used as a method for developing a longitudinal population sample that was used to test assumptions made by Social Security Administration actuaries in deriving their projections. Hendricks and Holden

Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers Get This Book
Buy Paperback | $100.00
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

This volume, second in the series, provides essential background material for policy analysts, researchers, statisticians, and others interested in the application of microsimulation techniques to develop estimates of the costs and population impacts of proposed changes in government policies ranging from welfare to retirement income to health care to taxes.

The material spans data inputs to models, design and computer implementation of models, validation of model outputs, and model documentation.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook,'s online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  6. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  7. ×

    View our suggested citation for this chapter.

    « Back Next »
  8. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!