README.md

Central Bank Transparency Data

This package contains the dataset on central bank transparency from Dincer and Eichengreen (2014).

The maintainer of this package is unaffiliated with those authors, so if you use the data please cite it accordingly:

Dincer and Eichengreen, "Central Bank Transparency and Independence: Updates and New Measures", International Journal of Central Banking, Vol. 10, No. 1: 189-259, March 2014.

Installation and example usage

To install the package from Github:

devtools::install_github("expersso/cbtransparency")
library(cbtransparency)
library(dplyr)
library(ggplot2)

head(transp)
#> # A tibble: 6 × 5
#>          country  year value                measure iso2c
#>            <chr> <dbl> <dbl>                  <chr> <chr>
#> 1         Africa  1998   2.6 Transparency by Region  <NA>
#> 2 Eastern Africa  1998   2.0 Transparency by Region  <NA>
#> 3       Ethiopia  1998   1.0 Transparency by Region    ET
#> 4          Kenya  1998   2.5 Transparency by Region    KE
#> 5         Malawi  1998   1.0 Transparency by Region    MW
#> 6      Mauritius  1998   4.0 Transparency by Region    MU

countries <- c("EA", "US", "GB", "SE", "AU", "NZ", "CA")

df_plot <- transp %>%
  filter(measure == "Augmented Transparency by Region") %>%
  filter(iso2c %in% countries) %>% 
  mutate(value = value + runif(length(value), 0.1, 0.2))

ggplot(df_plot, aes(x = year, y = value, color = iso2c)) +
  geom_line() +
  geom_point() +
  theme_bw() +
  labs(x = NULL, y = NULL, color = NULL,
       title = "Central Bank Transparency", 
       subtitle = "Index (greater value = more transparent central bank)",
       caption = "Source: Dincer & Eichengreen (2014)")



expersso/cbtransparency documentation built on May 16, 2019, 9:43 a.m.