Measuring Synchronization of Recurrent Events in Multivariate Data
Don Harding, Adrian Pagan · Princeton University Press eBooks · 2016
This chapter presents methods for capturing the synchronization of recurrent events in bivariate and multiple series. The special features of the unconditional densities of binary series recommend the use of moment-based measures of synchronization. It looks at similarity across events in terms of a range of features, such as amplitudes. It then looks at the situation when model-based rules are used to define them, and further gives an application of the methods to studying the synchronization of cycles in industrial production across countries. The question often arises of whether there is synchronization of the events across a number of industries, countries, and so on. This involves multivariate synchronization and this is studied in the chapter. Finally, the chapter examines the relationship between the synchronization of cycles and the comovement in the continuous variables in which those cycles occur.