R/rd-LTWT.R

#' @importFrom tibble tibble
NULL

#' "Let Them Watch TV"
#'
#' "Let Them Watch TV": These data contain price indices for various items for the general
#'  urban consumer. Categories include medical services, college tuition, college textbooks,
#'  child care, housing, food and beverages, all items (i.e. general CPI),
#'  new vehicles, apparel, and televisions. The base period in value was originally
#'  the 1982-4 average, but I converted the base period to January 2000. I use these
#'  data for in-class discussion about how liberalized trade has made consumer
#'  electronics (like TVs) fractions of their past prices. Yet, young adults face
#'  mounting costs for college, child-raising, and health care that government
#'  policy has failed to address.
#'
#' @format A data frame with 2377 observations on the following 3 variables.
#' \describe{
#' \item{\code{date}}{a date}
#' \item{\code{category}}{a factor for the particular category}
#' \item{\code{value}}{the price index. Base: January 2000}
#' }
#'
#' @details Inspiration comes from a blog post titled "Chart of the day (century?): Price changes 1997 to 2017", which was published by the American Enterprise Institute on Feb. 2, 2018.
#'
#' @source Bureau of Labor Statistics, via the \code{blscrapeR} package.
#'
"LTWT"

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