Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.
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Initial Evidence from a New Database on Capital Market Restrictions
Makram El-Shagi
Panoeconomicus,
No. 3,
2012
Abstract
One of the key obstacles to the empirical analysis of capital controls has been the unavailability of a detailed set of indicators for controls that cover a broad set of countries over a range of years. In this paper, we propose a new set of indicators derived from the Annual Reports on Exchange Arrangements and Export Restrictions. Contrary to most earlier attempts to construct control indicators from this source, our set of indices allows one to analyze the control intensity separately for inflow, outflow and repatriation controls. An additional set of indicators features information on the institutional design of controls. At first glance, the data show that the financial crisis caused a surge in capital market restrictions, most notably concerning the derivatives market. This reflex, which is not justified by the scarce empirical evidence on the success of controls, shows the importance of having a valid measure to allow an econometrically sound policy evaluation in this field. The data are available from the author upon request.
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The Performance of Short-term Forecasts of the German Economy before and during the 2008/2009 Recession
Katja Drechsel, Rolf Scheufele
International Journal of Forecasting,
No. 2,
2012
Abstract
The paper analyzes the forecasting performance of leading indicators for industrial production in Germany. We focus on single and pooled leading indicator models both before and during the financial crisis. Pairwise and joint significant tests are used to evaluate single indicator models as well as forecast combination methods. In addition, we investigate the stability of forecasting models during the most recent financial crisis.
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The Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Economic Modelling,
No. 4,
2012
Abstract
In this paper we develop an open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model -- the Halle Economic Projection Model (HEPM) -- is closely related to studies published by Carabenciov et al. Our main contribution is that we model the Euro area countries separately. In doing so, we consider Germany, France, and Italy which represent together about 70 percent of Euro area GDP. The model combines core equations of the New-Keynesian standard DSGE model with empirically useful ad-hoc equations. We estimate this model using Bayesian techniques and evaluate the forecasting properties. Additionally, we provide an impulse response analysis and a historical shock decomposition.
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Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database
John M. Abowd, Ron S. Jarmin, Satkartar K. Kinney, Javier Miranda, Jerome P. Reiter, Arnold P. Reznek
International Statistical Review,
No. 3,
2011
Abstract
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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Auswirkungen der aus dem Konjunkturpaket II für das Zentrale Innovationsprogramm Mittelstand (ZIM) bereitgestellten Mittel auf die konjunkturelle Entwicklung. Gutachten im Auftrag des Bundesministerium für Wirtschaft und Technologie (BMWi)
Jutta Günther, Udo Ludwig, Hans-Ulrich Brautzsch, Brigitte Loose, Nicole Nulsch
One-off Publications,
2011
Abstract
The ZIM program (Zentrales Innovationsprogramm Mittelstand) is a technologically open program of the Federal Ministry of Economics and Technology to support small and medium enterprises and Science organizations in their research and innovation activities. It became operative July 1, 2008 and offers three program lines: individual projects, cooperative projects, and networks. In reaction to the global economic crisis the ZIM program was increased for the years 2009 and 2010 – in addition to the regulary scheduled 626 Million – by 900 Million Euro through the Konjunkturpaket II (KP II).
In this study, the analysis of the macroeconomic effects of the ZIM program in Germany has been carried out – first time in the evaluation of federal support programs for research and innovation – by the use of the input output method.
The pdf file includes an english summary with details about the study's results.
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A Model for the Valuation of Carbon Price Risk
Henry Dannenberg, Wilfried Ehrenfeld
Antes, R.; Hansjürgen, B.; Letmathe, P.; Pickl, S. (Hrsg.), Emissions Trading - Institutional Design, Decision Making and Corporate Strategies (Second Edition),
2011
Abstract
Modeling the price risk of CO2 emission allowances is an important aspect of integral corporate risk management related to emissions trading. In this paper, a pricing model is developed which may be the basis for evaluating the risk of emission certificate prices. We assume that the certificate price is determined by the expected marginal CO2 abatement costs in the current trade period as well as by the long-term marginal abatement costs. The price risk is modeled on the basis of a mean reversion process. Due to uncertainties about the future state of the environment, we suppose that within one trade period erratic changes in the expected marginal abatement costs may occur leading to shifts in the price level. In addition to the parameter estimation, it is also an objective of this work to modify the mean reversion process so that such abrupt changes in the expected reversion level can be displayed. Because of the possibility of transferring spare allowances to a subsequent period we take into account the fact that the expected long run marginal abatement costs act as a lower limit for the price in the trading period.
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New IMF Lending Facilities and Financial Stability in Emerging Markets
J. John, Tobias Knedlik
Economic Analysis and Policy,
No. 2,
2011
Abstract
In the light of the current global financial and economic crisis, the International Monetary Fund (IMF) has undertaken some major reforms of its lending facilities. The new Flexible Credit Line and the High Access Precautionary Arrangements differ from what has been in place so far, by allowing for ex ante conditionality. This paper summarizes preconditions for effective last resort lending and evaluates the newly introduced measures, concluding that the Flexible Credit Line comes very close to what has been called an International Lender of Last Resort. The main obstacles are the low demand and slow progress in complementary reforms.
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Works Councils and Firm Profits Revisited
Steffen Müller
British Journal of Industrial Relations,
No. 1,
2011
Abstract
As they are employee associations, it is typically presumed that works councils redistribute economic rents from firm owners to workers. And indeed, the empirical literature suggests that German works councils reduce profits. The studies on the profitability effect of works councils mainly use self-reported subjective profit evaluations of managers as the dependent variable. I argue that these are poor measures of real profits. Newly available information on firms' capital stock allows me to revisit the profit effect now using an objective profit measure. When utilizing the subjective measure I find the standard results; with the objective measure, however, the works council effect on profits is positive and significant.
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Are Qualitative Inflation Expectations Useful to Predict Inflation?
Rolf Scheufele
Journal of Business Cycle Measurement and Analysis,
No. 1,
2011
Abstract
This paper examines the properties of qualitative inflation expectations collected from economic experts for Germany. It describes their characteristics relating to rationality and Granger causality. An out-of-sample simulation study investigates whether this indicator is suitable for inflation forecasting. Results from other standard forecasting models are considered and compared with models employing survey measures. We find that a model using survey expectations outperforms most of the competing models. Moreover, we find some evidence that the survey indicator already contains information from other model types (e. g. Phillips curve models). However, the forecast quality may be further improved by completely taking into account information from some financial indicators.
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