Nach der Mittelfristprojektion des IWH dürfte das Bruttoinlandsprodukt in Deutschland in den Jahren von 2016 bis 2021 um durchschnittlich 1½% wachsen; das nominale Bruttoinlandsprodukt wird wohl um durchschnittlich 3% zunehmen. Nach einer leichten Überauslastung der Kapazitäten in den Jahren 2016 und 2017 dürfte sich die Produktionslücke mittelfristig schließen. Aufgrund des mittelfristig kaum anziehenden Wachstums im Euroraum und des im Vergleich zum langfristigen Mittel schwachen Welthandels dürften vom Außenhandel in der mittleren Frist kaum Impulse ausgehen; die konjunkturelle Dynamik wird daher nach wie vor maßgeblich von der Inlands¬nachfrage bestimmt. Die Verbraucherpreise ziehen im Prognosezeitraum etwas an.

This paper investigates the macroeconomic risks associated with undesirably low inflation using a medium-sized New Keynesian model. We consider different causes of persistently low inflation, including a downward shift in long-run inflation expectations, a fall in nominal wage growth, and a favorable supply-side shock. We show that the macroeconomic effects of persistently low inflation depend crucially on its underlying cause, as well as on the extent to which monetary policy is constrained by the zero lower bound. Finally, we discuss policy options to mitigate these effects.

We develop and estimate a general equilibrium search and matching model that accounts for key business cycle properties of macroeconomic aggregates, including labor market variables. In sharp contrast to leading New Keynesian models, we do not impose wage inertia. Instead we derive wage inertia from our specification of how firms and workers negotiate wages. Our model outperforms a variant of the standard New Keynesian Calvo sticky wage model. According to our estimated model, there is a critical interaction between the degree of price stickiness, monetary policy, and the duration of an increase in unemployment benefits.

Der Staat fragt Produkte und Dienstleistungen mit ganz unterschiedlichem technologischen Niveau nach – von Büroklammern bis zu Forschungssatelliten. Dieser Beitrag zeigt zunächst in einem theoretischen Modell, dass der Staat durch die technologische Intensität seiner Nachfrage den Markt für technologieintensive Produkte und Dienstleistungen erweitern kann. Denn eine stärkere staatliche Nachfrage nach innovativen Produkten und Dienstleistungen erlaubt es privaten Unternehmen, die überwiegend fixen Kosten für Forschung und Entwicklung auf größere Absatzmengen umzulegen, lässt die privaten Erträge aus Forschung und Entwicklung ansteigen und generiert somit zusätzliche Anreize, in die Entwicklung neuer Technologien zu investieren. Anhand von Daten aus den USA wird auch empirisch belegt, dass eine – budgetneutrale – Erhöhung der technologischen Intensität der staatlichen Nachfrage die privaten FuE-Ausgaben erhöht. Damit rückt die staatliche Nachfrage erneut in die Diskussion über mögliche Instrumente einer effektiven Wirtschafts- und Innovationspolitik.

We use the Chinese experience between 1867 and 1910 to illustrate how the volatility of vehicle currencies affects trade. Today’s widespread vehicle currency is the dollar. However, the macroeconomic effects of this use of the dollar have rarely been addressed. This is partly due to identification problems caused by its international importance. China had adopted a system, where silver was used almost exclusively for trade, similar to a vehicle currency. While being important for China, the global role of silver was marginal, alleviating said identification problems. We develop a bias corrected structural VAR showing that silver price fluctuations significantly affected trade.

In this paper, we propose a new method to assess the impact of sovereign ratings on sovereign bond yields. We estimate the impulse response of the interest rate, following a change in the rating. Since ratings are ordinal and moreover extremely persistent, it proves difficult to estimate those impulse response functions using a VAR modeling ratings, yields and other macroeconomic indicators. However, given the highly stochastic nature of the precise timing of ratings, we can treat most rating adjustments as shocks. We thus no longer rely on a VAR for shock identification, making the estimation of the corresponding IRFs well suited for so called local projections – that is estimating impulse response functions through a series of separate direct forecasts over different horizons. Yet, the rare occurrence of ratings makes impulse response functions estimated through that procedure highly sensitive to individual observations, resulting in implausibly volatile impulse responses. We propose an augmentation to restrict jointly estimated local projections in a way that produces economically plausible impulse response functions.

We document that expansionary monetary policy shocks are less effective at stimulating output and investment in periods of high volatility compared to periods of low volatility, using a regime-switching vector autoregression. Exogenous policy changes are identified by adapting an external instruments approach to the non-linear model. The lower effectiveness of monetary policy can be linked to weaker responses of credit costs, suggesting a financial accelerator mechanism that is weaker in high volatility periods. To rationalize our robust empirical results, we use a macroeconomic model in which financial intermediaries endogenously choose their capital structure. In the model, the leverage choice of banks depends on the volatility of aggregate shocks. In low volatility periods, financial intermediaries lever up, which makes their balance sheets more sensitive to aggregate shocks and the financial accelerator more effective. On the contrary, in high volatility periods, banks decrease leverage, which renders the financial accelerator less effective; this in turn decreases the ability of monetary policy to improve funding conditions and credit supply, and thereby to stimulate the economy. Hence, we provide a novel explanation for the non-linear effects of monetary stimuli observed in the data, linking the effectiveness of monetary policy to the procyclicality of leverage.

I model the joint effects of debt, macroeconomic conditions, and cash flow cyclicality on risk-shifting behavior and managerial pay-for-performance sensitivity. I show that risk-shifting incentives rise during recessions and that the shareholders can eliminate such adverse incentives by reducing the equity-based compensation in managerial contracts. I also show that this reduction should be larger in highly procyclical firms. Using a sample of U.S. public firms, I provide evidence supportive of the model’s predictions. First, I find that equity-based incentives are reduced during recessions. Second, I show that the magnitude of this effect is increasing in a firm’s cash flow cyclicality.

We introduce a novel currency risk measure based on American Depositary Receipts(ADRs). Using a multifactor pricing model, we exploit ADR investors’ exposure to potential devaluation losses to derive an indicator of currency risk. Using weekly data for a sample of 831 ADRs located in 23 emerging markets over the 1994-2014 period, we find that a deterioration in the fiscal and current account balance, as well as higher inflation, increases currency risk. Interaction models reveal that these macroeconomic fundamentals drive currency risk, particularly in countries with managed exchange rates, low levels of foreign exchange reserves and a poor sovereign credit rating.