Unfortunately, I cannot directly provide the estimation code for Xiao (2009) quantile cointegration test. However, I can guide you on how to implement it and where you might find resources or references.
R: The quantreg package can be used for quantile regression. You might need to combine this with other packages like urca for unit root tests and cointegration analysis.
Quantile cointegration estimates assess the relationship between time series at different quantiles rather than just the mean. This approach helps identify how cointegration varies across different points of the conditional distribution, offering a more nuanced view of long-term relationships in the presence of non-constant volatility or asymmetric effects.