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This dataset contains a (248 x 7)-dimensional matrix with quarterly US data from the first quarter of 1947 till the last quarter of 2008. The script for transforming the raw data (as csv-file) to the matrix RSdata is available in the data-raw directory. The data set is used to identify government spending shocks and in particular to investigate the response of consumption and real wages with respect to these shocks. All variables are orthogonalized with respect to an intercept and a linear trend. See https://doi.org/10.1093/qje/qjq008 for more details.

Usage

RSdata

RSdata_ts

RSdata_xts

Format

A matrix with 248 rows and 7 variables (plus a timestamp, so in total 8 variables). Versions as tibble (RSdata), ts (RSdata_ts), or xts (RSdata_xts) object are available:

  1. Date column

  2. the logarithm of real per capita quantities of total government spending

  3. real GDP

  4. total hours worked

  5. nondurable plus services consumption

  6. private fixed investment

  7. real wage (or more precisely the nominal compensation in private business divided by the deflator in private business)

  8. tax rate

An object of class mts (inherits from ts, matrix) with 248 rows and 7 columns.

An object of class xts (inherits from zoo) with 248 rows and 7 columns.