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 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...

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 examines the role of sectoral spillovers in propagating sectoral shocks in the broader economy, both in the past and during the COVID-19 pandemic. In particular, we study how shocks that occur within a sector itself and spillovers from shocks to other sectors affect sectoral activity,...

We show that domestic production networks shape worker flows between firms. Data on the universe of firm-to-firm transactions for the Dominican Republic, matched with employer-employee records, reveals that about 20 percent of workers who change firms move to a buyer or supplier of their...

This paper studies banks' decision to form financial interconnections using a model of financial contagion that explicitly takes into account the crisis state of the world. This allows us to model the network formation decision as optimising behaviour of competitive banks, where they balance the...

This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to...

This paper studies the interconnectedness of the global financial system and its susceptibility to shocks. A novel multilayer network framework is applied to link debt and equity exposures across countries. Use of this approach-that examines simultaneously multiple channels of transmission and...

This paper assesses whether cross-border M and A decisions exhibit network effects. We estimate exponential random graph models (ERGM) and temporal exponential random graph models (TERGM) to evaluate the determinants of cross-country M and A investments at the sectoral level. The results show...