This paper focuses on the estimation and testing of multiple breaks that occur at unknown dates in multivariate long memory time series regression models, allowing for fractional cointegration. A likelihood-ratio based approach for estimating the breaks in the parameters and in the covariance of...

This paper focuses on the estimation and testing of multiple breaks that occur at unknown dates in multivariate long memory time series regression models, allowing for fractional cointegration. A likelihood-ratio based approach for estimating the breaks in the parameters and in the covariance of...

In this article, we use tests of explosive behavior in real house prices with annual data for the case of Australia for the period 1870-2020. The main contribution of this paper is the use of very long time series. It is important to use longer span data because it offers more powerful...

In this article, we use tests of explosive behavior in real house prices with annual data for the case of Australia for the period 1870-2020. The main contribution of this paper is the use of very long time series. It is important to use longer span data because it offers more powerful...

This paper considers estimation and testing of multiple breaks that occur at unknown dates in multivariate long-memory time series. We propose a likelihood ratio based approach for estimating breaks in the mean and the covariance of a system of long-memory time series. The limiting distribution...