In this article, we propose an adaptive group lasso procedure to efficiently estimate structural breaks in cointegrating regressions. It is well known that the estimator not simultaneously estimation consistent and model selection break settings. Hence, use a first step of diverging number breakpoint candidates produce weights for second estimation. We prove parameter changes are estimated cons...