National Academies Press: OpenBook
« Previous: HITSM
Suggested Citation:"TRIM2." 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 93

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.

ALTERNATIVE MODEL DESIGNS: PROGRAM PARTICIPATION FUNCTIONS AND THE ALLOCATION OF ANNUAL TO 93 MONTHLY VALUES IN TRIM2, MATH, AND HITSM Determination of Monthly Labor Force and Employment Status Input Data The March CPS public-use files provide, for each person 15 years of age and older at the time of the March supplement interview, the following items pertaining to labor force and employment status during the preceding calendar year, which are used by one or more of the three models: number of weeks worked in year, number of weeks unemployed (not working but looking for work or on layoff) in year, number of employers in year, number of spells of unemployment in year, and hours normally worked per week. In addition, the number of weeks not in the labor force in year can be calculated as 52 minus weeks worked minus weeks unemployed. TRIM2 The MONTHS routine first allocates weeks worked, weeks unemployed, and weeks not in the labor force across the year and then allocates the income variables in proportion to weeks worked, weeks not worked, or simply by dividing by 12. The actual allocation of labor force status is performed outside of TRIM2. An extract file is created that contains all people who were in the labor force at any time during the year. The file is sorted by weeks worked in descending order and then on a random number, so that those people with the least flexibility for allocation will be considered first. Next, each individual's weeks worked, weeks unemployed, and weeks not in the labor force are divided into smaller periods based on the number of employers, the number of unemployment spells, and the total number of weeks in each status. The allocation process for each individual begins by selecting a random month in the year to start. A probability is calculated for each of the three possible labor force statuses by multiplying an individual's probability of being in that status by the index for that status in that month. (Although not described in the documentation, the individual's probability is presumably a function of the number of weeks in each status; the monthly indexes for each status are discussed below.) Next, a random number is chosen to select a status based on the probabilities. A period of that type is then allocated to the weeks of the month (all months are assumed to last 4.333 weeks) and continuing into succeeding months until all weeks in that period have been exhausted. (The allocation wraps around to the first months of the same year if necessary—for example, in the case in which someone who worked at a job for 6 months

Next: MATH »
Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers Get This Book
×
 Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers
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.

READ FREE ONLINE

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu'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!