Salt Lake City Computable General Equilibrium (CGE)

Salt Lake City Computable General Equilibrium (CGE)#

Description

A computable general equilibrium (CGE) model is based on fundamental economic principles. A CGE model uses multiple data sources to reflect the interactions of households, firms, and relevant government entities as they contribute to economic activity. The model is based on (1) utility-maximizing households that supply labor and capital, using the proceeds to pay for goods and services (both locally produced and imported) and taxes; (2) the production sector, with perfectly competitive, profit-maximizing firms using intermediate inputs, capital, land, and labor to produce goods and services for both domestic consumption and export; (3) the government sector that collects taxes and uses tax revenues in order to finance the provision of public services; and (4) the rest of the world.

The output of this analysis are CSV files with domestic supply, gross income, ore- and post-disaster factor demand and household count.

Input parameters

key name	type	name	description
`model_iterations` ^*	`int`	Iterations	Number of dynamic model iterations.
`solver_path`	`str`	Solver path	Path to ipopt package.

Input datasets

key name	type	name	description
`SAM` ^*	`incore:CGEsam`	Social matrix	A social accounting matrix.
`BB` ^*	`incore:CGEbb`	Capital composition	A matrix of functioning capital.
`IOUT`	`incore:CGEiout`	Government parameters	A matrix tax revenue transfer.
`MISC`	`incore:CGEmisc`	Parameters	Data of employment, capital and households in the economy.
`MISCH` ^*	`incore:CGEmisch`	Supply elasticity	Elasticities for the supply of labor.
`EMPLOY` ^*	`incore:CGEemploy`	Employment	Commercial sector employment data
`JOBCR` ^*	`incore:CGEjobcr`	Labor	A matrix of workers groups in the economy.
`OUTCR` ^*	`incore:CGEoutcr`	Commuter laborers	A matrix of Salt Lake City commuting workers.
`sector_shocks` ^*	`incore:capitalShocks`	Capital shocks	Building states to capital shocks per sector.

Output datasets

key name	type	name	description
`domestic-supply` ^*	`incore:Employment`	Supply results	A dataset containing domestic supply results (format: CSV).
`gross-income` ^*	`incore:Employment`	Gross income	A dataset of resulting gross income (format: CSV).
`pre-disaster-factor-demand` ^*	`incore:FactorDemand`	Factor demand	A dataset of factor demand before disaster (format: CSV).
`post-disaster-factor-demand` ^*	`incore:FactorDemand`	Factor demand	A dataset of factor demand after disaster (format: CSV).
`household-count` ^*	`incore:HouseholdCount`	Household count	A dataset of household count (format: CSV).

(* required)

Execution

code snippet:

    # Create Salt Lake City CGE Model
    saltlake_cge = SaltLakeCGEModel(client)
    
    # Set analysis input datasets
    saltlake_cge.set_parameter("model_iterations", 1)
    saltlake_cge.load_remote_input_dataset("SAM", SAM)
    saltlake_cge.load_remote_input_dataset("BB", BB)
    saltlake_cge.load_remote_input_dataset("MISCH", MISCH)
    saltlake_cge.load_remote_input_dataset("EMPLOY", EMPLOY)
    saltlake_cge.load_remote_input_dataset("JOBCR", JOBCR)
    saltlake_cge.load_remote_input_dataset("OUTCR", OUTCR)
    saltlake_cge.load_remote_input_dataset("sector_shocks", sector_shocks)

    # Set analysis parameters
    saltlake_cge.set_parameter("solver_path", "ipopt")
    saltlake_cge.set_parameter("model_iterations", 1)

    # Run Salt Lake City CGE model analysis
    saltlake_cge.run_analysis()

full analysis: slc_cge.ipynb