This article is our personal perspective on the IPS test and the subsequent developments of unit root and cointegration tests in dynamic panels with and without cross-section dependence. In this note, we discuss the main idea behind the test and the publication process that led to Im, Pesaran...

We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions...

We estimate a model that allows for dynamic and interdependent responses of morbidity in different local areas to economic conditions at the local and national level, with statistical selection of optimal local area. We apply this approach to quarterly British data on chronic health conditions...

We construct a structural macroeconometric model for member states of the West African Economic and Monetary Union. Fitting this model to annual and quarterly time series data allows us to identify the channels through which macroeconomic innovation in one country impact on other countries in...

We develop a unified stochastic frontier model which controls for the local spatial correlation and the global factor dependence as well as parameter heterogeneity, simultaneously. We then propose the regional productivity network analysis to examine the diffusion impacts of the capital...

We apply the asymmetric ARDL model advanced by Shin, Yu and Greenwood-Nimmo (2009) to the analysis of the patterns of pass-through from policy-controlled interest rates to a variety of longer-term rates in the U.S. and Germany. Our results reveal three main phenomena. Firstly, while the e®ect...

The existing empirical literature on Taylor-type interest rate rules has failed to achieve a robust consensus. Indeed, the relatively common finding that the Taylor principle does not hold has fueled a degree of controversy in the field. We attribute these mixed estimation results to a raft of...

This paper proposes a dynamic spatial autoregressive quantile model. Using predetermined network information, we study dynamic tail event driven risk using a system of conditional quantile equations. Extending Zhu, Wang, Wang and Härdle (2019), we allow the contemporaneous dependency of nodal...