We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...

A universal testing and isolation policy is the most viable way to vanquish a pandemic. Its implementation requires: (i) an epidemiological rather than clinical approach to testing, sacrificing accuracy for scalability, convenience and speed; and (ii) state intervention to ramp up production,...

Despite the rise in public debt, Japanese Government Bond (JGB) yields have remained low and stable, supported by steady inflows from the household and corporate sectors, high domestic ownership of JGBs, and safe-haven flows from heightened sovereign risks in Europe. Over time, however, the...

Applying techniques of clustering analysis to a set of variables suggested by the convergence criteria and the theory of optimal currency areas, this paper looks for country homogeneities to assess membership in the existing and proposed monetary unions of the broader west African region. Our...

This paper studies growth patterns in Emerging Market Economies (EMs) from the perspective on clusters and taxonomies. First, it documents developments over the past five decades in EMs and uses a cluster analysis to better understand convergence and the investment-growth nexus. Second, it looks...

We show empirical evidence that there may not be a tradeoff between market income inequality and high sustained growth, which is key for poverty alleviation. We argue that the economies that achieved high sustained growth and low market income inequality are characterized by dynamism-a drive...