On the Predictability of Growth

A country's productive structure and competitiveness are harbingers of growth. Growth is a dynamic process based on capabilities that are difficult to define and measure across countries. This paper uses a global measure of fitness (or complexity-weighted diversity of production) as a method to explore a country's relative growth potential. The analysis finds that there are two types of growth, predictable or laminar, and unpredictable. This classification is used to create a selection mechanism (the Selective Predictability Scheme), defining future growth trajectories for similar countries, and compares projected long-term, five-year forecasts with traditional methods used by the International Monetary Fund. The analysis finds that production structure is a good long-term predictor of growth, with prediction performance falling off for countries not yet in the laminar classification.

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Bibliographic Details
Main Authors: Cristelli, Matthieu, Tacchella, Andrea, Cader, Masud, Roster, Kirstin, Pietronero, Luciano
Format: Working Paper biblioteca
Language:English
en_US
Published: World Bank, Washington, DC 2017-06
Subjects:ECONOMIC PREDICTIONS, GROWTH PROJECTIONS, FORECASTING, PREDICTABILITY, POTENTIAL, COMPETITIVENESS, DIVERSIFICATION,
Online Access:http://documents.worldbank.org/curated/en/632611498503242103/On-the-predictability-of-growth
https://hdl.handle.net/10986/27620
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Summary:A country's productive structure and competitiveness are harbingers of growth. Growth is a dynamic process based on capabilities that are difficult to define and measure across countries. This paper uses a global measure of fitness (or complexity-weighted diversity of production) as a method to explore a country's relative growth potential. The analysis finds that there are two types of growth, predictable or laminar, and unpredictable. This classification is used to create a selection mechanism (the Selective Predictability Scheme), defining future growth trajectories for similar countries, and compares projected long-term, five-year forecasts with traditional methods used by the International Monetary Fund. The analysis finds that production structure is a good long-term predictor of growth, with prediction performance falling off for countries not yet in the laminar classification.