sfcr_multis {sfcr}

Simulate multiple SFC models at the same time

Description

The sfcr_multis() function is used to simulate multiple models at the same time, returning a list of sfcr_tbls.

Usage

sfcr_multis(expanded, fixed, periods, ...)

Arguments

expanded

A sfcr_mlt_set, sfcr_mlt_shock, or a sfcr_mlt object.

fixed

A sfcr_set, sfcr_tbl, or sfcr_shock object.

periods

A number specifying the total number of periods of the model to be simulated.

...

Additional arguments to pass to the underlying implementation of the sfcr_baseline() or sfcr_scenario() functions.

Details

The sfcr_multis() function takes an expanded object and a fixed to simulate multiple models that will share the content of fixed but vary on the expanded.

This function is a generic, which means that its implementation depends on the class of the expanded argument.

The available methods for the sfcr_multis() function depends on the expanded argument. There are three possible methods:

• sfcr_mlt_set: When the sfcr_multis() takes an sfcr_mlt_set class as the input of expanded, it must take a list of equations of the sfcr_set class as the fixed input. This method simulates many baseline models that accept the same set of equations and vary on the external variables supplied with the expanded argument.

• sfcr_mlt_shock: When the sfcr_multis() takes an sfcr_mlt_shock class as the input of expanded, it must also take an object of sfcr_tbl class as the input of fixed. It will simulate multiple scenario models that takes the same baseline model and diverge on the content of the multiple shocks provided with the expanded argument that are applied to it.

• sfcr_mlt: When the sfcr_multis() function takes a sfcr_mlt class object as the input of the expanded argument, a sfcr_shock object must be supplied with the fixed argument. This method simulates multiple scenario models that applies the same shock to a varying number of baseline models.

Author(s)

João Macalós

Examples

eqs <- sfcr_set(
  TX_s ~ TX_d,
  YD ~ W * N_s - TX_s,
  C_d ~ alpha1 * YD + alpha2 * H_h[-1],
  H_h ~ YD - C_d + H_h[-1],
  N_s ~ N_d,
  N_d ~ Y / W,
  C_s ~ C_d,
  G_s ~ G_d,
  Y ~ C_s + G_s,
  TX_d ~ theta * W * N_s,
  H_s ~ G_d - TX_d + H_s[-1]
)

external <- sfcr_set(G_d ~ 20, W ~ 1, alpha1 ~ 0.6, alpha2 ~ 0.4, theta ~ 0.2)

shock <- sfcr_shock(
  variables = sfcr_set(
    alpha2 ~ 0.3
  ),
  start = 1,
  end = 3
)

baseline <- sfcr_baseline(eqs, external, periods = 5)

# Example 1: Many external sets, 1 set of equations:
expanded1 <- sfcr_expand(external, alpha1, c(0.7, 0.8))
multis1 <- sfcr_multis(expanded = expanded1, fixed = eqs, periods = 5)

# Example 2: Many shocks, 1 baseline model:
expanded2 <- sfcr_expand(shock, alpha2, c(0.1, 0.2))
multis2 <- sfcr_multis(expanded = expanded2, fixed = baseline, periods = 5)

# Example 3: Many baseline models, 1 shock:
multis3 <- sfcr_multis(expanded = multis1, fixed = shock, periods = 5)