In Ghate & Wright Journal of Development Economics, vol. 99 (2012) pp 58–67, we noted that there was considerable variation in the extent to which different Indian states participated in the Great Indian Growth Turnaround. In this paper we investigate whether there was any systematic...

Commonly used tests to assess evidence for the absence of autocorrelation in a univariate time series or serial cross-correlation between time series rely on procedures whose validity holds for i.i.d. data. When the series are not i.i.d., the size of correlogram and cumulative Ljung-Box tests...

Due to problems with existing methodologies that aim to identify the causal impact of European Union cohesion policy on economic growth, we adopted a novel methodology. We first estimated 'unexplained economic growth' by controlling for the influence of various region-specific factors, and then...

A new test is proposed for the null of absence of serial correlation. The test uses a data-driven smoothing parameter. The resulting test statistic has a standard limit distribution under the null. The smoothing parameter is calibrated to achieve rate-optimality against several classes of...

This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the multiple testing (MT) literature. The approach tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...