The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

xtbreakcoint

CRAN status

Panel cointegration tests allowing for structural breaks and cross-section dependence, implementing the methodology of Banerjee and Carrion-i-Silvestre (2015).

Installation

You can install the development version from GitHub:

# install.packages("devtools")

Overview

The xtbreakcoint package tests for panel cointegration when:

The methodology follows four steps:

  1. Iterative Factor-Break Estimation: Jointly estimates common factors and individual break dates
  2. Individual ADF Tests: Applies ADF tests to defactored residuals
  3. Panel Test Statistic: Combines individual statistics into a standardized panel statistic
  4. MQ Test: Tests whether common factors are I(1) stochastic trends

Example

library(xtbreakcoint)

# Generate example panel data
set.seed(42)
N <- 10   # panels
T <- 50   # time periods

panel_data <- data.frame(
  id = rep(1:N, each = T),
  time = rep(1:T, N),
  y = NA,
  x = NA
)

# Create cointegrated data with a structural break at t=25
for (i in 1:N) {
  idx <- panel_data$id == i
  x <- cumsum(rnorm(T))
  u <- rnorm(T, sd = 0.5)
  beta <- ifelse(1:T <= 25, 1, 1.5)  # Break in slope
  y <- 1 + beta * x + u
  panel_data$x[idx] <- x
  panel_data$y[idx] <- y
}

# Test for cointegration
result <- xtbreakcoint(y ~ x, data = panel_data, id = "id", time = "time")
print(result)

Model Specifications

Model Name Deterministics
1 constant Constant only
2 trend Constant + trend
3 levelshift Constant + level shift
4 trendshift Constant + trend + level shift (default)
5 regimeshift Constant + trend + level + slope shift

References

Author

Based on original GAUSS code by A. Banerjee and J.L. Carrion-i-Silvestre.

License

GPL (>= 3)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.