European Bank Efficiency and Performance: The Effects of Supranational Versus National Bank Supervision
Rients Galema, Michael Koetter
T. Beck, B. Casu (eds): The Palgrave Handbook of European Banking, London,
2016
Abstract
This chapter explores European bank efficiency and performance. First, the authors provide an overview of the key estimation methods for efficiency and discuss selected applications to the European banking sector. Second, they apply stochastic frontier analysis to investigate the extent to which the reallocation of supervisory powers is associated with efficiency differences between European banks. In doing so, the discussion focuses particularly on whether direct supervision by the Single Supervisory Mechanism (SSM) as opposed to national competent authority (NCA) is related to cost and profit efficiency.
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Alternatives to GDP - Measuring the Impact of Natural Disasters using Panel Data
Jörg Döpke, Philip Maschke
Journal of Economic and Social Measurement,
No. 3,
2016
Abstract
A frequent criticism of GDP states that events that obviously reduce welfare of people can nevertheless increase GDP per capita. We use data of natural disasters as quasi experiments to examine whether alternatives to GDP (Human Development Index, Progress Index, Index of Economic Well-Being and a Happiness Index) lead to more plausible responses to disasters. Applying a Differences-in-Differences approach and estimates from various panels of countries we find no noteworthy differences between the response of real GDP per capita and the responses of suggested alternative welfare measures to a natural disaster except for the Human Development Index.
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Global Food Prices and Monetary Policy in an Emerging Market Economy: The Case of India
Oliver Holtemöller, Sushanta Mallick
Journal of Asian Economics,
2016
Abstract
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.
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A Fresh Look at the Labor Market Height Premium in Germany
Frieder Kropfhäußer
Economics Bulletin,
No. 3,
2016
Abstract
I use data from the German Socio-Economic Panel Study (SOEP) to analyze the relationship between height and wages in a sample of young German workers. My results show that the crude height wage premium documented in the literature is explained by unobserved heterogeneity on the sibling level. This contradicts the findings of a labor market height premium in Germany using OLS and Hausman-Taylor estimators as well as the Swedish finding of a height effect remaining after controlling for sibling fixed effects.
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Monetary-fiscal Policy Interaction and Fiscal Inflation: A Tale of Three Countries
Martin Kliem, Alexander Kriwoluzky, Samad Sarferaz
European Economic Review,
2016
Abstract
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.
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Impulse Response Analysis in a Misspecified DSGE Model: A Comparison of Full and Limited Information Techniques
Sebastian Giesen, Rolf Scheufele
Applied Economics Letters,
No. 3,
2016
Abstract
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.
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Journal of Macroeconomics,
June
2016
Abstract
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.
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Unemployment and Business Cycles
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Econometrica,
No. 4,
2016
Abstract
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.
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