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Juan Luis Diaz del Hoyo

10 May 2018
ECONOMIC BULLETIN - ARTICLE
Economic Bulletin Issue 3, 2018
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Abstract
This article establishes stylised facts about convergence and analyses the sources of economic growth in central, eastern and south-eastern European (CESEE) economies within and outside the European Union (EU).22 It also compares the performance across countries and identifies the challenges that these economies face on the way to further advancing convergence. Although all CESEE economies have converged towards the most advanced EU economies since 2000, progress has been heterogeneous. While some countries have experienced fast economic growth and a speedy catching-up, for others the catching-up process has been rather slow. Economic convergence has been much faster in the CESEE countries that became members of the EU (including those which later joined the euro area) than in the Western Balkan countries that are currently EU candidates or potential candidates. Convergence was particularly rapid before the global financial crisis, but slowed down thereafter. The article identifies several factors that are common to the most successful countries in the region in terms of the pace of convergence since 2000. These include (inter alia) improvements in institutional quality, external competitiveness and innovation, increases in trade openness, high or improving levels of human capital, and relatively high investment rates. Looking ahead, accelerating and sustaining convergence in the region will require further efforts to enhance institutional quality and innovation, reinvigorate investment, and address the adverse impact of population ageing. For EU candidates and potential candidates, EU accession prospects might constitute an anchor for reform momentum – in particular, but not exclusively, in the key area of enhancing institutional quality – and thus support the long-term growth prospects and real convergence of these countries.
JEL Code
E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts
F15 : International Economics→Trade→Economic Integration
O11 : Economic Development, Technological Change, and Growth→Economic Development→Macroeconomic Analyses of Economic Development
O43 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Institutions and Growth
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
1 December 2017
OCCASIONAL PAPER SERIES - No. 203
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Abstract
In the euro area, there is mixed evidence that the GDP per capita of lower-income economies has been catching up with that of higher-income economies since the start of monetary union. The significant real convergence performance of some of the most recent members contrasts with that of the economies of southern Europe, which have not met expectations. However, attributing all the blame for this outcome to the introduction of the single currency simply misses the point. By taking a “long view” and reviewing the evidence since the 1960s, this paper shows that certain member countries began to face a “non-convergence trap” long before the euro years. We also provide stylised facts on: (i) the central role of total factor productivity in driving real convergence in the euro area over time, alongside other factors; and (ii) the crucial interaction of real convergence with “Maastricht convergence” and institutional quality, the other two key components of sustainable economic convergence. We conclude that it is critical that the euro area countries facing convergence challenges enhance the resilience of their economic structures by improving the relevant institutions and governance.
JEL Code
E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts
F15 : International Economics→Trade→Economic Integration
J11 : Labor and Demographic Economics→Demographic Economics→Demographic Trends, Macroeconomic Effects, and Forecasts
O11 : Economic Development, Technological Change, and Growth→Economic Development→Macroeconomic Analyses of Economic Development
O43 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Institutions and Growth
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe
O57 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Comparative Studies of Countries
22 May 2006
OCCASIONAL PAPER SERIES - No. 45
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Abstract
The aim of this study is to investigate the extent to which the dispersion of real GDP growth rates has changed over the past few years and whether the synchronisation of business cycles has increased among the euro area countries. The study is divided into two main parts. The first focuses on the dispersion of real GDP growth rates across the euro area countries, while the second studies the synchronisation of business cycles within the euro area. The study shows first that dispersion of real GDP growth rates across the euro area countries in both unweighted and weighted terms has no apparent upward or downward trend during the period 1970-2004 as a whole. Second, since the beginning of the 1990s, the dispersion of real GDP growth rates across the euro area countries has largely reflected lasting trend growth differences, and less so cyclical differences, with some countries persistently exhibiting output growth either above or below the euro area average. Among other things, this might be due to different trends in demographics, as well as to differences in structural reforms undertaken in the past. Thirdly, the degree of synchronisation of business cycles across the euro area countries seems to have increased since the beginning of the 1990s. This finding holds for various measures of synchronisation applied to overall activity and to the cyclical component, for annual and quarterly data, as well as for various country groupings. In particular, the degree of correlation currently appears to be at a historical high. In addition to these main findings, certain other stylised facts on dispersion and synchronisation are presented.
JEL Code
C10 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→General
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
O40 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→General
22 July 2004
WORKING PAPER SERIES - No. 374
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Abstract
In this paper we investigate whether the forecast of the HICP components (indirect approach) improves upon the forecast of overall HICP (direct approach) and whether the aggregation of country forecasts improves upon the forecast of the euro-area as a whole, considering the four largest euro area countries. The direct approach provides clearly better results than the indirect approach for 12 and 18 steps ahead for the overall HICP, while for shorter horizons the results are mixed. For the euro area HICP excluding unprocessed food and energy(HICPX), the indirect forecast outperforms the direct whereas the differences are only marginal for the countries. The aggregation of country forecasts does not seem to improve upon the forecast of the euro area HICP and HICPX. This result has however to be taken with caution as differences appear to be rather small and due to the limited country coverage.
JEL Code
C11 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Bayesian Analysis: General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications