The Effects of Fiscal Policy in an Estimated DSGE Model – The Case of the German Stimulus Packages During the Great Recession
Andrej Drygalla, Oliver Holtemöller, Konstantin Kiesel
Macroeconomic Dynamics,
im Erscheinen
Abstract
In this paper, we analyze 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-optimizing 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 components of output, hours worked and private investment. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, and transfers 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 considering fiscal foresight.
Artikel Lesen
(Since When) Are East and West German Business Cycles Synchronised?
Stefan Gießler, Katja Heinisch, Oliver Holtemöller
IWH-Diskussionspapiere,
Nr. 7,
2019
Abstract
This paper analyses whether and since when East and West German business cycles are synchronised. We investigate real GDP, unemployment rates and survey data as business cycle indicators and employ several empirical methods. Overall, we find that the regional business cycles have synchronised over time. GDP-based indicators and survey data show a higher degree of synchronisation than the indicators based on unemployment rates. However, recently synchronisation among East and West German business cycles seems to become weaker, in line with international evidence.
Artikel Lesen
For How Long Do IMF Forecasts of World Economic Growth Stay Up-to-date?
Katja Heinisch, Axel Lindner
Applied Economics Letters,
Nr. 3,
2019
Abstract
This study analyses the performance of the International Monetary Fund (IMF) World Economic Outlook output forecasts for the world and for both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current year and the next year, we examine the durability of IMF forecasts, looking at how much time has to pass so that IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time data set for GDP and for indicators, we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts as soon as the publication of the IMF’s Outlook is only a few months old. In particular, there is an obvious gain using leading indicators from January to March for the forecast of the current year.
Artikel Lesen
Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Oliver Holtemöller, Christoph Schult
Abstract
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.
Artikel Lesen
Alumni
IWH-Alumni Das IWH möchte den Kontakt zu seinen ehemaligen Mitarbeiterinnen und...
Zur Seite
Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Heinisch, Rolf Scheufele
Empirical Economics,
Nr. 2,
2018
Abstract
In this paper, we investigate whether there are benefits in disaggregating GDP into its components when nowcasting GDP. To answer this question, we conduct a realistic out-of-sample experiment that deals with the most prominent problems in short-term forecasting: mixed frequencies, ragged-edge data, asynchronous data releases and a large set of potential information. We compare a direct leading indicator-based GDP forecast with two bottom-up procedures—that is, forecasting GDP components from the production side or from the demand side. Generally, we find that the direct forecast performs relatively well. Among the disaggregated procedures, the production side seems to be better suited than the demand side to form a disaggregated GDP nowcast.
Artikel Lesen
The Effects of Fiscal Policy in an Estimated DSGE Model – The Case of the German Stimulus Packages During the Great Recession
Andrej Drygalla, Oliver Holtemöller, Konstantin Kiesel
Abstract
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.
Artikel Lesen
Arbeit ohne Sinn gefährdet die Produktivität
Sabrina Jeworrek
Wirtschaft im Wandel,
Nr. 3,
2017
Abstract
Arbeit ohne Sinn ruft nicht nur negative Emotionen wie Enttäuschung oder das Gefühl, ersetzbar zu sein, hervor; vielmehr wird auch die zukünftige Arbeitsmotivation der Beschäftigten beeinflusst. Eine experimentelle Studie, die auf einer realen Arbeitssituation beruht, zeigt, dass Beschäftigte einen signifikant niedrigeren Arbeitseinsatz leisten, wenn ein vorangegangenes Projekt seinen ursprünglichen Sinn verloren hat. Die Information, dass das Projekt auch einen alternativen Zweck erfüllte, kompensiert die negativen Effekte allerdings vollständig, sowohl was den Arbeitseinsatz als auch den emotionalen Zustand der Beschäftigten angeht. Unternehmen und Personalverantwortliche sollten daher die Sinnhaftigkeit von Arbeitsaufgaben klar an ihre Beschäftigten kommunizieren sowie versuchen, auch gescheiterten Projekten eine Sinnhaftigkeit beizumessen.
Artikel Lesen
The Impacts of Intellectual Property Rights Protection on Cross-Border M&As
Iftekhar Hasan, Fahad Khalil, Xian Sun
Quarterly Journal of Finance,
Nr. 3,
2017
Abstract
We investigate the impacts of improved intellectual property rights (IPR) protection on cross-border Mergers and Acquisitions performance. Using multiple measures of IPR protection and based on generalized difference-in-differences estimates, we find that countries with better IPR protection attract significantly more hi-tech cross-border Mergers and Acquisitions activity, particularly in developing economies. Moreover, acquirers pay higher premiums for companies in countries with better IPR protection, and there is a significantly higher acquirer announcement effect associated with these hi-tech transactions.
Artikel Lesen
