# Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers(1991)

## Chapter: HITSM

« Previous: MATH
Page 95
Suggested Citation:"HITSM." 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.
×

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 95 MONTHLY VALUES IN TRIM2, MATH, AND HITSM procedures for consistency with the assumptions made in PBLAST, the public assistance simulation routine, which precedes ALLOY in the MATH model run stream.3 HITSM This model first determines the duration of jobs held and spells of unemployment during the year. Individuals who reported one job are assigned one continuous period of employment lasting the reported number of weeks worked. Individuals who reported more than one job have their weeks worked on each job estimated by using a random process. Similarly, individuals reporting one unemployment spell are assigned one continuous period of unemployment lasting the reported number of weeks unemployed. Individuals who reported more than one unemployment spell have their weeks unemployed in each spell estimated by using a random process. The next step is to distribute jobs and unemployment spells over the year. The assumption is made for individuals reporting more spells of unemployment than jobs that each job was preceded and followed by at least one period of unemployment; periods of unemployment and employment are randomly ordered accordingly. The assumption is made for individuals reporting the same number of unemployment spells as jobs that periods of employment and unemployment alternate. The next step is to distribute weeks not in the labor force. Individuals who were students at the beginning or end of the year (i.e., January and December) have their weeks out of the labor force assigned to the beginning or end of the year in accordance with their student status.4 People with periods of unemployment not separated by a job (e.g., one job held in the year with three spells of unemployment) have their weeks out of the labor force assigned between these unemployment periods; other people who experienced unemployment have their weeks out of the labor force assigned at either the beginning or the end of each spell of unemployment, with the number of weeks out of the labor force associated with each unemployment spell determined by using a random process. People who were never unemployed have all of their weeks out of the labor force assigned to a single period at the end of the year if the individual did not hold a job at that time and otherwise at the start of 3Oversimplifying, these procedures make the assumption that periods of work for the spouse offset periods of unemployment or disability for the head in the case of incapacitated parent units and unemployed parent units where the head worked part of the year and full time. For all other husband-wife AFDC units where both head and spouse had part-year employment or labor force participation, the procedures make the assumption that periods of work and unemployment of the head and spouse coincide. 4It is not clear from the documentation how a determination is made of school status at the beginning or end of the year.

Next: TRIM2 »
Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling: Volume II, Technical Papers Get This Book
×

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, 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. ×

« 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. ×