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#' @export
#' @title Some Examples Illustrating the Sticky-Price Path and Business Cycles
#' @aliases gemStickyPricePath_2_2
#' @description These are some examples that illustrate the sticky-price path and business cycles.
#' @param ... arguments to be passed to the function sdm2.
#' @examples
#' \donttest{
#' stickiness <- 0.7
#'
#' dst.firm <- node_new(
#' "output",
#' type = "CD", alpha = 2, beta = c(0.5, 0.5),
#' "prod", "lab"
#' )
#'
#' dst.consumer <- node_new(
#' "util",
#' type = "Leontief", a = 1,
#' "prod"
#' )
#'
#' ge <- sdm2(
#' A = list(dst.firm, dst.consumer),
#' B = matrix(c(
#' 1, 0,
#' 0, 1
#' ), 2, 2, TRUE),
#' S0Exg = matrix(c(
#' NA, NA,
#' NA, 100
#' ), 2, 2, TRUE),
#' names.commodity = c("prod", "lab"),
#' names.agent = c("firm", "consumer"),
#' numeraire = "lab",
#' z0 = c(100, 100),
#' p0 = c(1, 1),
#' ts = TRUE,
#' policy = list(
#' makePolicyTechnologyChange(
#' adjumentment.ratio = 2,
#' agent = "firm",
#' time.win = c(30, 30)
#' ),
#' makePolicyStickyPrice(stickiness = stickiness)
#' ),
#' priceAdjustmentVelocity = 0,
#' numberOfPeriods = 60,
#' maxIteration = 1
#' )
#'
#' matplot(ge$ts.z, type = "b", pch = 20)
#'
#' #### another example.
#' ## When the stickiness is 0, there will be business cycles.
#' stickiness <- 0.5
#'
#' dst.firm <- node_new(
#' "output",
#' type = "Leontief", a = 0.2,
#' "lab"
#' )
#'
#' dst.consumer <- node_new(
#' "util",
#' type = "CES", es = 0.3, alpha = 1, beta = c(0.5, 0.5),
#' "prod", "lab"
#' )
#'
#' ge <- sdm2(
#' A = list(dst.firm, dst.consumer),
#' B = matrix(c(
#' 1, 0,
#' 0, 0
#' ), 2, 2, TRUE),
#' S0Exg = matrix(c(
#' NA, NA,
#' NA, 100
#' ), 2, 2, TRUE),
#' names.commodity = c("prod", "lab"),
#' names.agent = c("firm", "consumer"),
#' numeraire = "lab",
#' z0 = c(100, 100),
#' p0 = c(1, 1),
#' ts = TRUE,
#' policy = makePolicyStickyPrice(stickiness = stickiness),
#' priceAdjustmentVelocity = 0,
#' numberOfPeriods = 40,
#' maxIteration = 1
#' )
#'
#' matplot(ge$ts.z, type = "b", pch = 20)
#' }
gemStickyPricePath_2_2 <- function(...) sdm2(...)
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