The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history has played a particularly prominent role in improving our understanding of growth dynamics. Research at the intersection of historical data, theory, and empirics has the potential to reframe how we think about economic growth in much the same way that historical perspectives helped to shape the first generation of endogenous growth theories.

In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.

Die Berliner Mauer als das Symbol der deutschen Teilung ist mittlerweile länger verschwunden als sie gestanden hat, doch die Unterschiede innerhalb des Landes sind auch nach drei Jahrzehnten noch sichtbar. Jüngste Forschungsergebnisse zeigen jedoch, dass die Bruchkante der wirtschaftlichen Entwicklung nicht immer ausschließlich entlang der ehemaligen innerdeutschen Grenze verläuft, sondern neben dem West-Ost-Gefälle auch Süd-Nord- oder Stadt-Land-Unterschiede zutage treten.

• The cyclical upswing of the world economy comes to an end, since expansionary policies in the US are expected to peter out in 2019, and the protectionist course of the US government clouds the perspectives for world trade. • However, if a major trade conflict can be avoided, chances are good that world production growth will be close to the long-run average of a bit more than 3%, with trade expanding at a similar pace. • Slowing exports, in particular to China, can partly explain the setback, while domestic conditions still appear favourable: firms continued hiring, albeit by less than before, tight labour markets in many member countries have caused wages to rise more quickly, and house prices continue to increase markedly. • Since a trend to higher inflationary dynamics is still not detectable, the ECB is likely to either keep key interest rates unchanged in 2019 or raise them very carefully at the end of the year. • All in all, we expect the euro area growth rate to come down from 1.9% in 2018 to 1.5% in 2019 and 1.8% in 2020, and inflation to slightly slow down from 1.8% in 2018 to 1.6% in 2019 and 1.5% in 2020.

We build a model of firm-level innovation, productivity growth, and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census microdata on firm-level output, R&D, and patenting. The model provides a good fit to the dynamics of firm entry and exit, output, and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4 percent improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.

In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.

• The world economy is booming. The global upswing is investment-driven, and since investment goods usually have a large import content, it is no surprise that world trade has been buoyant during winter. The very expansionary US fiscal policy (tax reform and lifting of spending caps) could give an additional shortterm stimulus for the world economy. • However, we forecast world trade to slow down during 2018. The US administration’s announcement of high tariffs on steel and aluminium comes close to triggering a spiral into a broader trade conflict. Moreover, the globalization of value chains has been slowing down since the financial crisis due to the industrial upgrading in China and in other emerging economies that has declined processing trade. In addition, some types of manufacturing jobs have returned to source countries (reshoring) in response to technology innovation and lower labour costs differentials. • The euro area is in the middle of a broad based cyclical upswing. Higher exports and improved expectations have induced firms to invest more into equipment, as capacity utilization has been above average for some time now and is still increasing, and financing costs are very low. However, recent soft indicators, but also industrial production have been surprisingly downbeat, and there was some turbulence in financial markets, which suggests some caution. • The ECB will probably stop its asset purchase program at the end of 2018, but only later in 2019 start raising interest rates. Fiscal policy in the euro area is slightly expansionary this year, and a notable fiscal stimulus in France and in Germany is to be expected for 2019. • Overall, we forecast euro area GDP to expand by 2.2% in 2018 and by 1.6% in 2019. Accelerating wage dynamics will, together with higher price setting powers of firms and the recent increase in oil prices, cause consumer price inflation rising to nearly to 2% in 2019. Uncertainty, is however substantial, as a slight slowdown cannot be ruled out, which would also impact inflation dynamics.

This letter reports an easy extension of Mitra’s “easily verifiable” sufficient condition for topological chaos in unimodal maps, and offers its application to reduced-form representations of two economic models that have figured prominently in the recent literature in economic dynamics: the check- and the M-map pertaining to the 2-sector Robinson–Solow–Srinivasan (RSS) and Matsuyama models respectively. A consideration of the iterates of these maps establishes the complementarity of the useful 2001 condition with the 1982 (LMPY) theorem of Li–Misiurewicz–Pianigiani–Yorke when supplemented by a geometric construction elaborated in Khan–Piazza (2011).

In this paper, we analyse the effects of the stimulus packages adopted by the German government during the Great Recession. We employ a standard medium-scale dynamic stochastic general equilibrium (DSGE) model extended by non-optimising households and a detailed fiscal sector. In particular, the dynamics of spending and revenue variables are modeled as feedback rules with respect to the cyclical component of output. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, transfers and changes in labour tax rates including social security contributions prevented a sharper and prolonged decline of German output at the beginning of the Great Recession, suggesting a timely response of fiscal policy. The overall effects, however, are small when compared to other domestic and international shocks that contributed to the economic downturn. Our overall findings are not sensitive to the allowance of fiscal foresight.