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SSASIM input table DEV_CC

Contains specification of correlation coefficients among error terms in VAR(2) model of deviations around trend values for stochastic variables. Each row specifies a correlation coefficient for one pair of stochastic variables (identified by their var_index), so many rows are required for each table id value.

Parent table is: ASSUMP

There are no child tables.

Go to SSASIM input parameters overview

SSASIM:   DEV_CC . id
Identifies set of VAR(2) deviation error correlation coefficient values for all stochastic variables, so value should be unique for each group of rows that has a collection of var1_index and var2_index pairs (see below).

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

Source code: assump.h and assump.cpp

SSASIM:   DEV_CC . var1_index
Specifies index of first of two stochastic variables whose VAR(2) deviation error correlation coefficient is specified on this table row.

Valid values: 1 to 15, Integer [var1_index must be greater than var2_index]

1 : total fertility rate (tfr) [log-decimal]

2 : total net immigration (imm) [in millions]

3 : mortality decline rate (mdr) [in percent per year]

4 : female labor force participation rate (fpr) [log-odds]

5 : male labor force participation rate (mpr) [log-odds]

6 : unemployment rate (unr) [log-odds]

7 : inflation rate (inf) [in percent per year]

8 : productivity growth rate (pgr) [in percent per year]

9 : wage share growth rate (wsg) [in percent per year]

10 : hours worked growth rate (hwg) [in percent per year]

11 : nominal interest rate (nir) [log-decimal-rate]

12 : disability incidence factor (dif) [log-decimal]

13 : disability recovery factor (drf) [log-decimal]

14 : equity return (eqr) [log-decimal-gross-nominal-annual-return]

15 : tbill spread (tbs) [difference-in-log-decimal-rate]

[log-decimal] means that variable is expressed as natural logarithm of the decimal (not percentage) value of the variable. This transformation is used to represent variables whose values must always be positive.

[log-odds] means that variable is expressed as natural logarithm of the odds of the value of the variable, where the odds of variable x is equal to x/(1-x). This transformation is used to represent variables whose values must always be between zero and one (like the decimal unemployment rate).

Source code: assump.h and assump.cpp

SSASIM:   DEV_CC . var2_index
Specifies index of second of two stochastic variables whose VAR(2) deviation error correlation coefficient is specified on this table row.

Valid values: 1 to 15, Integer [var1_index must be greater than var2_index]

1 : total fertility rate (tfr) [log-decimal]

2 : total net immigration (imm) [in millions]

3 : mortality decline rate (mdr) [in percent per year]

4 : female labor force participation rate (fpr) [log-odds]

5 : male labor force participation rate (mpr) [log-odds]

6 : unemployment rate (unr) [log-odds]

7 : inflation rate (inf) [in percent per year]

8 : productivity growth rate (pgr) [in percent per year]

9 : wage share growth rate (wsg) [in percent per year]

10 : hours worked growth rate (hwg) [in percent per year]

11 : nominal interest rate (nir) [log-decimal-rate]

12 : disability incidence factor (dif) [log-decimal]

13 : disability recovery factor (drf) [log-decimal]

14 : equity return (eqr) [log-decimal-gross-nominal-annual-return]

15 : tbill spread (tbs) [difference-in-log-decimal-rate]

[log-decimal] means that variable is expressed as natural logarithm of the decimal (not percentage) value of the variable. This transformation is used to represent variables whose values must always be positive.

[log-odds] means that variable is expressed as natural logarithm of the odds of the value of the variable, where the odds of variable x is equal to x/(1-x). This transformation is used to represent variables whose values must always be between zero and one (like the decimal unemployment rate).

Source code: assump.h and assump.cpp

SSASIM:   DEV_CC . 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:   DEV_CC . corr_coeff
Specifies value of correlation coefficient among VAR(2) deviation errors for stochastic variables specified on this table row. Pairs of variables that do not have a specified correlation coefficient are assumed to have uncorrelated VAR(2) deviation errors. That is, zero correlation coefficients are implied and need not be specified. However, each table id value must have at least one table row.

Valid values: -1.0 to +1.0, Real

Source code: assump.h and assump.cpp