WiNDC Household Model

Add the package by running

pkg> add https://github.com/julia-mpsge/windc_household_model.jl

It is also useful to add both MPSGE and DataFrames packages,

pkg> add MPSGE, DataFrames

Load and use the package by running

using windc_household_model

using DataFrames, MPSGE


data = load_data(2017)

M = household_model(data);

solve!(M, cumulative_iteration_limit=0)

zero_profit(M[:KS])

value(M[:ta]["AL", "ppd"])

set_value!(M[:ta]["AL", "ppd"], .5)

solve!(M)

windc_household_model.household_model — Method

household_model(data)

Constructs a MPSGE model for the WiNDC household model. The model is constructed using the data provided by the load_data function.

source

windc_household_model.load_data — Method

load_data(year::Int)

Load the household data for a given year. Only the years 2017 and 2021 are available.

source

windc_household_model.variable_to_dataframe — Method

variable_to_dataframe(var::MPSGEIndexedVariable, columns::Symbol...; value_name = :value)
variable_to_dataframe(var::MPSGEScalarVariable, columns::Symbol...; value_name = :value)

Converts a MPSGEIndexedVariable to a DataFrame. The resulting DataFrame will have columns for each of the dimensions of the variable, as well as a column for the value of the variable.

If the variable is a scalar variable, the resulting DataFrame will only have a column.

source