This book inspects the interdependencies among social disruption signals and their relationship to economic conditions as emerging from available Portuguese time series. Comparisons with international cross-section evidence are provided. Three types of innovations are presented: firstly, it searches for interactions – and common causes – between indicators of general aggressiveness or pro-activity that include accident, suicide, divorce rates and armed forces along with criminality records. Secondly, it illustrates theoretical applications of principal components: in time series filtering; in cross-correlation and corresponding significance-level probabilities analysis; in the treatment of missing cases. Finally, estimators based on observational replicability of second moments are proposed.
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