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The author examines the impact of historical global downturns on trade flows. The results provide insight into why trade has dropped so dramatically in the current crisis, what is likely to happen in the coming years, how global imbalances are affected, and which regions and industries suffer most heavily. The author finds that the elasticity of global trade volumes to real world GDP has increased gradually from around 2 in the 1960s to above 3 now. The author also finds that trade is more responsive to GDP during global downturns than in tranquil times. The results suggest that the overall drop in real trade this year is likely to exceed 15 percent. There is significant variation across industries, with food and beverages the least affected and crude materials and fuels the most affected. On the positive side, trade tends to rebound very rapidly when the outlook brightens. The author also finds evidence that global downturns often lead to persistent improvements in the ratio of the trade balance to GDP in borrower countries.
Base year --- Currencies and Exchange Rates --- Debt --- Economic Theory and Research --- Elasticity --- Emerging Markets --- Exports --- Finance and Financial Sector Development --- Financial crises --- Financial crisis --- Forecasts --- Free Trade --- GDP --- Gross value --- Growth rate --- Income --- International Economics & Trade --- International trade --- Inventories --- Law and Development --- Macroeconomics and Economic Growth --- Middle income countries --- Private Sector Development --- Public Sector Development --- Real GDP --- Real income --- Tax revenues --- Trade balance --- Trade Law --- Trade Policy --- Trough --- Value added
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June 2000 - A method for forecasting growth cycles in economic activity (measured as total industrial production), as applied to Lithuania. Everhart and Duval-Hernandez present a method for forecasting growth cycles in economic activity, measured as total industrial production. They construct a series which they aggregate into a composite leading indicator to predict the path of the economy in Lithuania. The cycle is the result of the economy's deviations from its long-term trend. A contractionary phase means a decline in the growth rate of the economy, not necessarily an absolute decline in economic activity. The indicator they select for economic activity is usually the Index of Industrial Production, plus a group of variables that, when filtered and adjusted, becomes the composite leading indicator that forecasts the reference series. Variables include economically and statistically significant financial, monetary, real sector, and business survey data. They base selection of the components of the leading indicator on the forecast efficiency and economic significance of the series. Once selected, the relevant variables are aggregated into a single composite leading indicator, which forecasts the detrended Index of Industrial Production. They apply the Hodrick-Prescott filter method for detrending the series. This is a smoothing technique that decomposes seasonally adjusted series into cyclical and trend components. One advantage of the Hodrick-Prescott filter is that it provides a reasonable estimate of a series' long-term trend. The OECD uses a system of leading indicators to predict growth cycles in the economies of its member countries. These exercises have been very effective in their forecasting ability and accuracy - but for the technique to work it is essential to have an adequate statistical system that provides many economic variables in a precise and timely manner, preferably monthly. The authors extend the OECD technique and present an application to a country of the former Soviet Union. This paper - a joint product of the Poverty Reduction and Economic Management Sector Units, Europe and Central Asia and Latin America and the Carribean Regions, and the Mexico Country Management Unit - is part of a larger effort in the Bank to foster the development of macroeconomic monitoring techniques. Authors may be contacted by email at severhart@worldbank.org or rduval@worldbank.org.
Averaging --- Benchmark --- Business Cycles --- Cd --- Cred Economic Activity --- Currencies and Exchange Rates --- Debt Markets --- E-Business --- Economic Research --- Economic Statistics --- Economic Theory and Research --- Education --- Emerging Markets --- Expectations --- Finance and Financial Sector Development --- Forecasting --- Forecasts --- Information Security and Privacy --- Interest Rate --- Knowledge for Development --- Leading Indicators --- Macroeconomics and Economic Growth --- Money --- Private Sector Development --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Statistical and Mathematical Sciences --- Trade --- Trends --- Trough --- Unemployment --- Value --- Variables
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