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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Gemeindegröße, Verwaltungsform und Effizienz der kommunalen Leistungserstellung – Das Beispiel Sachsen-Anhalt
Peter Haug
Raumforschung und Raumordnung,
No. 4,
2013
Abstract
Municipality Size, Institutions and Efficiency of Municipal Service Provision: The Case of Saxony-Anhalt: In this contribution we analyze the determinants of the efficiency of municipal service production using the example of the German state of Saxony-Anhalt. The focus lies on the effects of municipality size, institutional setting and spatial or demographic factors. We perform a robust non-parametric frontier estimation (Convex order-m).The results reveal e.g. no efficiency deficits of municipal associations and a significant impact of demographic factors and settlement structures.
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Effects of Specification Choices on Efficiency in DEA and SFA
Michael Koetter, Aljar Meesters
Efficiency and Productivity Growth: Modelling in the Financial Services Industry,
2013
Abstract
This chapter assesses the sensitivity of bank cost-efficiency scores obtained with stochastic frontier analysis and data envelopment analysis. We compare CE scores of either type for a large cross-country sample of EU banks from 1996 until 2010. The results show that CE measures differ considerably depending on specification choices across parametric and nonparametric methods. The chapter documents the reasons for these differences in terms of theoretical, sample, and further specification choices.
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Emissionsrechtemanagement mit dem „CO2-Navigator“
Wilfried Ehrenfeld
IWH Discussion Papers,
No. 19,
2011
Abstract
The emission rights management module of the software package “CO2-Navigator“ is a corporate emissions rights management instrument designed to provide an overview of the allocation and transactions of CO2 emission allowances at any time of the calendar year. During the acquisition, the relevant dates, quantities and prices are collected. The daily updated inventory of allowances is also reported.
Based on the current state of the emissions from an installation, an estimate of the allowance coverage for the balance sheet day of the current year is realized, using an emission profile characteristic for the firm. Here, a possible under- or over- coverage is graphically illustrated and quantified. The module is thus a useful tool in the risk management process of emission intensive companies. A possible subsequent investment analysis, e. g. a stochastic investment planning, builds on the data supplied by this module. This paper describes the motivation and technical conception of this instrument.
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ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers
Gaaitzen J. de Vries, Michael Koetter
Oxford Bulletin of Economics and Statistics,
No. 4,
2011
Abstract
The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.
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Handling Losses in Translog Profit Models
J. W. B. Bos, Michael Koetter
Applied Economics,
No. 3,
2011
Abstract
In this article, we compare standard approaches used to handle losses in logarithmic profit models with a simple novel approach. We estimate translog stochastic profit frontiers, and discuss discriminatory power, rank stability and the precision of Profit Efficiency (PE) scores. Contrary to existing methods, our approach does not result in a loss of observations. Our new method enhances rank stability and discriminatory power, and improves the precision of PE scores.
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Technology Clubs, R&D and Growth Patterns: Evidence from EU Manufacturing
Claire Economidou, J. W. B. Bos, Michael Koetter
European Economic Review,
No. 1,
2010
Abstract
This paper investigates the forces driving output change in a panel of EU manufacturing industries. A flexible modeling strategy is adopted that accounts for: (i) inefficient use of resources and (ii) differences in the production technology across industries. With our model we are able to identify technical, efficiency, and input growth for endogenously determined technology clubs. Technology club membership is modeled as a function of R&D intensity. This framework allows us to explore the components of output growth in each club, technology spillovers and catch-up issues across industries and countries.
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Do All Countries Grow Alike?
Claire Economidou, J. W. B. Bos, Michael Koetter, James W. Kolari
Journal of Development Economics,
No. 1,
2010
Abstract
This paper investigates the driving forces of output change in 77 countries during the period 1970–2000. A flexible modeling strategy is adopted that accounts for (i) the inefficient use of resources, and (ii) different production technologies across countries. The proposed model can identify technical, efficiency, and input change for each of three endogenously determined regimes. Membership in these regimes is estimated, rather than determined ex ante. This framework enables explorations into the determinants of output growth and convergence issues in each regime.
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Effects of Heterogeneity on Bank Efficiency Scores
J. W. B. Bos, Michael Koetter, James W. Kolari, Clemens J. M. Kool
European Journal of Operational Research,
No. 1,
2009
Abstract
Bank efficiency estimates often serve as a proxy of managerial skill since they quantify sub-optimal production choices. But such deviations can also be due to omitted systematic differences among banks. In this study, we examine the effects of heterogeneity on bank efficiency scores. We compare different specifications of a stochastic cost and alternative profit frontier model with a baseline specification. After conducting a specification test, we discuss heterogeneity effects on efficiency levels, ranks and the tails of the efficiency distribution. We find that heterogeneity controls influence both banks’ optimal costs and profits and their ability to be efficient. Differences in efficiency scores are important for more than only methodological reasons. First, different ways of accounting for heterogeneity result in estimates of foregone profits and additional costs that are significantly different from what we infer from our general specification. Second, banks are significantly re-ranked when their efficiency is estimated with a specification other than the preferred, general specification. Third, the general specification gives the most reliable estimates of the probability of distress, although differences to the other specifications are low.
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The Stability of Bank Efficiency Rankings when Risk Preferences and Objectives are Different
Michael Koetter
European Journal of Finance,
No. 2,
2008
Abstract
We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.
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