Resolving the Missing Deflation and Inflation Puzzles
VOX, CEPR Policy Portal,
The alleged breakdown of the Phillips curve has left monetary policy researchers and central bankers wondering if we need to develop completely new models for price and wage determination. This column argues that a relatively small alteration of the standard New Keynesian model, combined with using the nonlinear instead of the linearised solution, is sufficient to resolve the two puzzles – the ‘missing deflation’ during the recession and the ‘missing inflation’ during the recovery – underlying the supposed breakdown.
DPE Faculty A B C D E F G H I J...
19.12.2018 • 23/2018
IWH Mid-term Projections: The German Economy and Public Finances 2018 to 2025
In 2018 the general government overall balance is likely to be in surplus by almost 60 billion euros. In the medium term, however, demographic conditions will deteriorate, as will public finances. The financial position of the German state will nevertheless remain stable until 2025, unless major negative shocks occur. “But even if interest rates rose significantly or foreign demand declined markedly, only moderate deficits would arise”, says Oliver Holtemöller, head of the Department of Macroeconomics and vice president at Halle Institute for Economic Research (IWH). However, given the expected reduction of the surplus under existing legislation, there is no room for further increases in spending.
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Should We Use Linearized Models To Calculate Fiscal Multipliers?
Journal of Applied Econometrics,
We calculate the magnitude of the government consumption multiplier in linearized and nonlinear solutions of a New Keynesian model at the zero lower bound. Importantly, the model is amended with real rigidities to simultaneously account for the macroeconomic evidence of a low Phillips curve slope and the microeconomic evidence of frequent price changes. We show that the nonlinear solution is associated with a much smaller multiplier than the linearized solution in long-lived liquidity traps, and pin down the key features in the model which account for the di¤erence. Our results caution against the common practice of using linearized models to calculate scal multipliers in long-lived liquidity traps.
Global Food Prices and Monetary Policy in an Emerging Market Economy: The Case of India
Journal of Asian Economics,
This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that a big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks.
05.10.2016 • 42/2016
International young researchers at IWH
Scientific insights do not stop at national borders and have to be equally accessible for women and men. “Whoever wants to do world-class research has to look beyond his own nose”, says Reint E. Gropp, president of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association. He himself received his PhD and did research in the US for several years.
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The Macroeconomic Risks of Undesirably Low Inflation
European Economic Review,
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.
Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Journal of Macroeconomics,
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.
Unemployment and Business Cycles
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.
„Challenges for Forecasting – Structural Breaks, Revisions and Measurement Errors” 16th IWH-CIREQ Macroeconometric Workshop
Wirtschaft im Wandel,
Am 7. und 8. Dezember 2015 fand am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) zum 16. Mal der IWH-CIREQ Macroeconometric Workshop statt. Die in Kooperation mit dem Centre interuniversitaire de recherche en économie quantitative (CIREQ), Montréal, durchgeführte Veranstaltung beschäftigte sich dieses Mal mit zentralen Herausforderungen, denen sich die ökonomische Prognose zu stellen hat: Strukturbrüche in den Daten, statistische Revisionen und Fehler bei der Messung wichtiger Indikatoren.