Nach der Mittelfristprojektion des IWH wird das Bruttoinlandsprodukt in Deutschland in den Jahren von 2017 bis 2022 um durchschnittlich 1½% wachsen; das nominale Bruttoinlandsprodukt wird um durchschnittlich 3½% zunehmen. Aufgrund der starken konjunkturellen Dynamik wird der Staat hohe Haushaltsüberschüsse erzielen. Die gute Finanzlage des Staates bietet einer neuen Bundesregierung große finanzpolitische Handlungsspielräume. Aufbauend auf der Mittelfristprojektion des IWH und mit Hilfe eines makroökonometrischen Modells werden die Wirkungen verschiedener finanzpolitischer Maßnahmen auf diverse makroökonomische Größen analysiert. Im Ergebnis zeigt sich, dass der Multiplikator bei ausgabeseitigen expansiven finanzpolitischen Maßnahmen im Simulationszeitraum größer wäre als bei einnahmeseitigen. In der derzeitigen konjunkturellen Lage und aufgrund der im internationalen Vergleich immer noch hohen Abgabenbelastung des Faktors Arbeit wären einnahmeseitige Maßnahmen insgesamt besser geeignet, die Haushaltsüberschüsse abzubauen.

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 study the impact of the interaction between fiscal and monetary policy on the low-frequency relationship between the fiscal stance and inflation using cross-country data from 1965 to 1999. In a first step, we contrast the monetary–fiscal narrative for Germany, the U.S., and Italy with evidence obtained from simple regression models and a time-varying VAR. We find that the low-frequency relationship between the fiscal stance and inflation is low during periods of an independent central bank and responsible fiscal policy and more pronounced in times of non-responsible fiscal policy and accommodative monetary authorities. In a second step, we use an estimated DSGE model to interpret the low-frequency measure structurally and to illustrate the mechanisms through which fiscal actions affect inflation in the long run. The findings from the DSGE model suggest that switches in the monetary–fiscal policy interaction and accompanying variations in the propagation of structural shocks can well account for changes in the low-frequency relationship between the fiscal stance and inflation.

In this article, we examine the effect of estimation biases – introduced by model misspecification – on the impulse responses analysis for dynamic stochastic general equilibrium (DSGE) models. Thereby, we use full and limited information estimators to estimate a misspecified DSGE model and calculate impulse response functions (IRFs) based on the estimated structural parameters. It turns out that IRFs based on full information techniques can be unreliable under misspecification.

In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameter estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.

Die Dissertation untersucht drei verschiedene geld- bzw. fiskalpolitische Fragestellungen im Rahmen von geschätzten dynamischen stochastischen allgemeinen Gleichgewichtsmodellen (DSGE-Modellen). Zum einen wird mittels eines Markov-Regimewechsel-Modells analysiert, inwiefern sich die Geldpolitik in der Tschechischen Republik, Polen und Ungarn im Zuge des Strategiewechsels zu einer direkten Inflationssteuerung de facto verändert hat und wie erfolgreich sich die neue Strategie im Hinblick auf die Stabilisierung von Zielvariablen erwiesen hat. Weiterhin wird die geschätzte gegenwärtige Geld- und Währungspolitik in Russland hinsichtlich der Auswirkungen simultan auftretender Ölpreis- und Kapitalflussschocks gegenüber Politikalternativen bewertet. Abschließend wird analysiert, ob und inwiefern die Maßnahmen der deutschen Konjunkturpakete während der Großen Rezession zur Stabilisierung der Konjunktur beigetragen haben.

We study the impact of the interaction between fiscal and monetary policy on the low-frequency relationship between the fiscal stance and inflation using cross-country data from 1965 to 1999. In a first step, we contrast the monetary-fiscal narrative for Germany, the U.S. and Italy with evidence obtained from simple regression models and a time-varying VAR. We find that the low-frequency relationship between the fiscal stance and inflation is low during periods of an independent central bank and responsible fiscal policy and more pronounced in times of high fiscal budget deficits and accommodative monetary authorities. In a second step, we use an estimated DSGE model to interpret the low-frequency measure structurally and to illustrate the mechanisms through which fiscal actions affect inflation in the long run. The findings from the DSGE model suggest that switches in the monetary-fiscal policy interaction and accompanying variations in the propagation of structural shocks can well account for changes in the low-frequency relationship between the fiscal stance and inflation.

This paper analyzes changes in the monetary policy in the Czech Republic, Hungary, and Poland following the policy shift from exchange rate targeting to inflation targeting around the turn of the millennium. Applying a Markovswitching dynamic stochastic general equilibrium model, switches in the policy parameters and the volatilities of shocks hitting the economies are estimated and quantified. Results indicate the presence of regimes of weak and strong responses of the central banks to exchange rate movements as well as periods of high and low volatility. Whereas all three economies switched to a less volatile regime over time, findings on changes in the policy parameters reveal a lower reaction to exchange rate movements in the Czech Republic and Poland, but an increased attention to it in Hungary. Simulations for the Czech Republic and Poland also suggest their respective central banks, rather than a sound macroeconomic environment, being accountable for reducing volatility in variables like inflation and output. In Hungary, their favorable developments can be attributed to a larger extent to the reduction in the size of external disturbances.

In DSGE models, fiscal policy is typically described by simple rules in which tax rates respond to the level of output. We show that there is only weak empirical evidence in favor of such specifications in US data. Instead, the cyclical movements of labor and capital income tax rates are better described by a contemporaneous response to hours worked and investment, respectively. We show that conditioning on these variables is also desirable from a normative perspective as it significantly improves welfare relative to output-based rules.

In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameters estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.