README.md

In epuR: Collect and Process Economic Policy Uncertainty Data

epuR

The goal of epuR is to provide a simple and consistent framework to collect Economic Policy Uncertainty and related index data from their official web locations in real time. The official website of EPU is https://www.policyuncertainty.com/china_monthly.html.

Installation

You can install the released version of epuR from CRAN with:

install.packages("epuR")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("Lingbing/epuR")

Example

epuR functions adopts a get_XXX() style to collect the index data, where ‘XXX’ refers to the index name. For example, to get the Economic Policy Uncertainty (EPU) index, use function get_EPU():

library(epuR)
## get EPU data
epu_data <- get_EPU()
class(epu_data)
#> [1] "xts" "zoo"

Every get function returns an xts time series object so that further data manipulation and visualization is very straightforward if you are familiar with operations on xts. To plot all regions in the EPU data:

plot(epu_data)

To plot some specific region:

plot(epu_data$Australia)

Using dygraphs

dygraphs can be directly use to make the time series plot interactive:

library(dygraphs)
dygraph(epu_data$China)

Currently, the following indexes are supported:

Supported Index

| Function | Index Data | Default arguments | | :-------: | :-------------------------: | ----------------- | | get_EPU | Economic Policy Uncertainty | region = “all” | | get_EMV | Equity Market Volatility | all = T | | get_FSI | Financial Stress Indicator | freq = “monthly” | | get_GPR | Geopolitical Risk Index | type = 1 | | get_IRI | Immigration Related Index | region = “all” | | get_TPU | Trade Policy Uncertainty | region = “China” | | get_WUI | World Uncertainty Index | type = “F1” | | get_OMI | Oxford-Man Institute RV | index = “AEX” |

For example, to get the FSI data:

fsi_data <- get_FSI()
dygraph(fsi_data)

epuR documentation built on April 14, 2020, 5:09 p.m.