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## SSASIM input table EARN_GA

Contains description of age- and gender-specific average earnings ratios, which are used to specify aggregate age-earnings profiles separately for men and women. Note that the average earnings ratio is defined as the average earnings of all workers in a gender-age cell divided by the economy-wide (i.e., all-age and all-gender) average earnings.
Parent table is: LABDYN

There are no child tables.

Go to SSASIM input parameters overview

**SSASIM: EARN_GA . id**

Identifies set of female and male average earnings ratios by age. Because ratios typically vary by age, there will be many rows with the same id value.

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

Source code: labmrkt.h and labmrkt.cpp

**SSASIM: EARN_GA . 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: EARN_GA . age**

Specifies age for which average earnings ratios on this row refers. Ratios for ages without a row are assumed to be zero.

Valid values: 0 to 125, Integer

Source code: labmrkt.h and labmrkt.cpp

**SSASIM: EARN_GA . female**

Specifies average earnings ratio of females whose age is specified on this row. Ratio is expressed in decimal (not percentage) terms, which means earning 120 percent of the economy-wide average is expressed using a 1.20 ratio. Note that this ratio will be adjusted to maintain logical consistency as the age-gender composition of employment changes (see discussion of this adjustment algorithm under the entry for the c_adj_mix parameter in the LABDYN table).

Valid values: 0.0 to 3.0, Real

Source code: labmrkt.h and labmrkt.cpp

**SSASIM: EARN_GA . male**

Specifies average earnings ratio of males whose age is specified on this row. Ratio is expressed in decimal (not percentage) terms, which means earning 90 percent of the economy-wide average is expressed using a 0.90 ratio. Note that this ratio will be adjusted to maintain logical consistency as the age-gender composition of employment changes (see discussion of this adjustment algorithm under the entry for the c_adj_mix parameter in the LABDYN table).

Valid values: 0.0 to 3.0, Real

Source code: labmrkt.h and labmrkt.cpp