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The asymmetric Brazilian input–output network

Jennifer Gonçalves, Raul Matsushita and Sergio Da Silva ()

Journal of Economic Studies, 2020, vol. 48, issue 3, 604-615

Abstract: Purpose - The authors observed few sectors with many connections and many sectors with few connections, “in the Brazilian input-output network,” which meant that sectoral idiosyncratic shocks may lead to aggregate fluctuations. Design/methodology/approach - The authors considered the Brazilian input–output tables for the years 2010 and 2015 and found a significant asymmetry in the roles that sectors play as input suppliers to others. Findings - Generalized Pareto exponents decreased from one period to the other, which suggested that the input–output network has become more vulnerable to shocks. Practical implications - The authors identified real estate as the most important sector and, given its high connectivity, shocks to it could become a major driver of the Brazilian business cycle. Originality/value - This is the first paper examining the asymmetric structure of the Brazilian input–output table, and results are compared with those for the US table.

Keywords: Network analysis; Business cycle; Generalized Pareto curve; Input–output matrix (search for similar items in EconPapers)
Date: 2020
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