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SSASIM input table OLC

Contains information required operate the macro model in the overlapping cohorts (OLC) mode. This is an optional mode of macro model operation that requires the GEMINI add-on to SSASIM. Without GEMINI, the SSASIM macro model operates in the default cell-based actuarial (CBA) mode.

Parent table is: RUN

There are no child tables.

Go to SSASIM input parameters overview

SSASIM:   OLC . id
Identifies set of OLC mode information specified on this row of table, so id value should be unique.

Valid values: 1 to 999999999 (nine digits), Integer

Source code: olc.h and olc.cpp

SSASIM:   OLC . notes
Describes specification of table row in free-form note.

Valid values: any ASCII text (Note: do not copy and paste from a word processor because of the possibility of embedded non-ASCII characters.)

Source code: notes are not read by the model

SSASIM:   OLC . gemini_dir
Specifies database subdirectory/subfolder in which the GEMINI run used by this OLC run is located.

Valid values: enter any valid subdirectory/subfolder of the GEMINI executables directory/folder (specified in the %gemini% environment variable) without the trailing backslash; embedded spaces in subdirectory/subfolder name not allowed.

Source code: olc.h and olc.cpp

SSASIM:   OLC . gemini_rid
Specifies RUN.id value of GEMINI run (located in OLC.gemini_dir) that is used to simulate the overlapping cohorts. Note that this GEMINI run must point back to the SSASIM directory that includes this OLC table row. This means that GEMINI:RUN.ssasim_dir must be the same as the current working directory where this SSASIM database is located.

Valid values: 1 to 99999 (five digits), Integer [see conditions above]

Source code: olc.h and olc.cpp

SSASIM:   OLC . sample_pct
Specifies the cohort scenario sampling percent. Note that this is a per-scenario sampling percent. The cohort sample size is calculated by multiplying this specified percent by the number of native births and net immigrants specified in the cohort environment (envNNNNN) file produced by this SSASIM run. Note that the sum of native births and net immigrants for a birth cohort may vary across scenarios if the SSASIM run specifies stochastic fertility rates or immigration flows. The use of a sampling percent (rather than decimal fraction) means that sample_pct=0.1 produces a one-in-a-thousand sample.

Valid values: 0.0001 to 1.0, Real