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EWS
View on CRAN: Click
here
Download and install EWS package within the R console
Install from CRAN:
install.packages("EWS")
Install from Github:
library("remotes")
install_github("cran/EWS") Install by package version:
library("remotes")
install_version("EWS", "0.2.0") Attach the package and use:
library("EWS")
Maintained by
Quentin Lajaunie
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-07
Latest Update: 2021-02-24
Description:
The purpose of Early Warning Systems (EWS) is to detect accurately the occurrence of a crisis, which is represented by a binary variable which takes the value of one when the event occurs, and the value of zero otherwise. EWS are a toolbox for policymakers to prevent or attenuate the impact of economic downturns. Modern EWS are based on the econometric framework of Kauppi and Saikkonen (2008) . Specifically, this framework includes four dichotomous models, relying on a logit approach to model the relationship between yield spreads and future recessions, controlling for recession risk factors. These models can be estimated in a univariate or a balanced panel framework as in Candelon, Dumitrescu and Hurlin (2014) . This package provides both methods for estimating these models and a dataset covering 13 OECD countries over a period of 45 years. In addition, this package also provides methods for the analysis of the propagation mechanisms of an exogenous shock, as well as robust confidence intervals for these response functions using a block-bootstrap method as in Lajaunie (2021). This package constitutes a useful toolbox (data and functions) for scholars as well as policymakers.
How to cite:
Quentin Lajaunie (2020). EWS: Early Warning System. R package version 0.2.0, https://cran.r-project.org/web/packages/EWS. Accessed 31 Oct. 2026.
Previous versions and publish date:
0.1.0 (2020-04-07 17:00), (2026-07-09 08:02)
Other packages that cited EWS R package
View EWS citation profile
Other R packages that EWS depends,
imports, suggests or enhances
Complete documentation for EWS
Functions, R codes and Examples using
the EWS R package
Some associated functions: BlockBootstrapp . EWS_AM_Criterion . EWS_CSA_Criterion . EWS_NSR_Criterion . GIRF_Dichotomous_model . GIRF_Index_CI . GIRF_Proba_CI . Logistic_Estimation . Matrix_lag . Simulation_GIRF . Vector_Error . Vector_lag . data_USA . data_panel .
Some associated R codes: EWS_functions.R . Full EWS package functions and examples
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