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EFN Report Winter 2016/17: Economic Outlook for the Euro Area in 2017 and 2018

EFN Reports, Nr. 1, 2017

Abstract

Global economic activity has revived since autumn, and equity markets have rallied at the end of the year. Apparently, some of the measures proposed during the US election campaign by the president elect, such as financial market deregulation, economic stimulus, tax cuts and infrastructure are expected to support the economy in the US and beyond. However, this stimulus bears considerable risks already for the near future: other economies could face considerable problems due to a further appreciation of the dollar, rising financing costs and the withdrawal of capital towards the US. In the euro area, as monetary policy continues its expansive course, financing costs will stay very low in 2017, and fiscal policy will be mildly expansive, although a bit less so than in 2016. Confidence of firms and private households has strengthened in recent months, as has the mood on financial markets. We expect that the recovery will continue at about the pace of 2016. GDP will, according to our forecast, increase by 1.6% in 2017 and by 1.7% in 2018. However, the crisis in the Italian banking sector has intensified. It might also trigger another crisis of confidence in European institutional arrangements: according to the Bank Recovery and Resolution Directive, banks may only be saved with public money if owners and creditors of these banks have contributed to the rescue. At present it seems doubtful whether it would be politically feasible to respect this rule. Regarding inflation, our forecast for 2017 is 1.2%. Although energy prices have risen significantly, price pressures are still low.

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Are there Business Cycles “beyond GDP“? Alternative Measures to GDP at Business Cycle Frequencies

Jörg Döpke, Philip Maschke

Applied Economics Quarterly, Nr. 2, 2015

Abstract

We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.

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