Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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The Behavioral Impact of Non-Monetary Workplace Characteristics
Sabrina Jeworrek
Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis,
Nr. 465,
2016
Abstract
This book investigates the impact of non-monetary workplace characteristics ― i.e. employee voice, task characteristics, and the provision of information ― on workers’ individual decision making and workplace performance. Given the neoclassical assumption of purely self-interested and completely rational utility maximizing individuals, workplace characteristics should be of little interest as long as they are not directly related to payment issues, so that a worker’s utility maximizing effort choice given a fixed wage level remains unaffected. Recent empirical findings, however, suggest that the use of non-monetary incentives might even be the better option to increase work performance. Three out of the four experimental studies covered by this book extend the previous research by providing more reliable insights into field behavior than conventional laboratory experiments. Given e.g. the right to self-determine one’s wage, almost all participants in the laboratory opt for the highest possible wage. Within the context of an inventory taking with 140 assistants, we conducted a natural field experiment and show that most workers ask for rather moderate wages with women being particularly conservative in their demands. Notwithstanding, wage delegation causes workers’ performance to rise and, hence, stresses the relevance of voice at the workplace. Furthermore, we provide evidence that workers also care for the content and the meaningfulness of their tasks. Uselessly exerted effort, for instance, reduces work performance as regards a completely unrelated task in the future. Taken together, the field experimental evidence presented in this book indicates that if employees find a workplace which matches their preferences, it is quite likely to be a beneficial situation not only for the employee but also for the employer. Overall good working conditions can even help workers overlook unequal treatments within the workforce, at least in the short-run and as long as there is a plausible reason for it. An additional laboratory experiment, however, suggests that additional information, e.g. about potential coworkers, might be necessary to make reasonable decisions in accordance with individual preferences.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Journal of Applied Economics,
Nr. 2,
2016
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, originally proposed by Dueker (2005). The Qual VAR is a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonable well in forecasting (outperforming a probit benchmark), there are substantial identification problems even in a simple VAR specification. Typically, identification in economic applications is far more difficult than in our simple benchmark. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, use of the Qual VAR is inadvisable.
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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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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The ex-post threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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College Choice Allocation Mechanisms: Structural Estimates and Counterfactuals
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We evaluate a simple allocation mechanism of students to majors at college entry that was commonly used in universities in Brazil in the 1990s and 2000s. Students first chose a single major and then took exams that select them in or out of the chosen major. The literature analyzing student placement, points out that this decentralized mechanism is not stable and is not strategy-proof. This means that some pairs of major & students can be made better off and that students tend to disguise their preferences using such a mechanism. We build up a model of performance and school choices in which expectations are carefully specified and we estimate it using cross-section data reporting choices between two medical schools and grade performances at the entry exams. Given those estimates, we evaluate changes in selection and students’ expected utilities when other mechanisms are implemented. Results highlight the importance of strategic motives and redistributive effects of changes of the allocation mechanisms.
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Outperforming IMF Forecasts by the Use of Leading Indicators
Katja Drechsel, Sebastian Giesen, Axel Lindner
IWH Discussion Papers,
Nr. 4,
2014
Abstract
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the 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 if the publication of the Outlook is only a few months old.
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Regulation, Innovation and Technology Diffusion - Evidence from Building Energy E fficiency Standards in Germany
Makram El-Shagi, Claus Michelsen, Sebastian Rosenschon
Discussionpapers des DIW Berlin,
Nr. 1371,
2014
Abstract
The impact of environmental regulation on technology diffusion and innovations is studied using a unique data set of German residential buildings. We analyze how energy effi ciency regulations, in terms of minimum standards, affects energy-use in newly constructed buildings and how it induces innovation in the residential-building industry. The data used consists of a large sample of German apartment houses built between 1950 and 2005. Based on this information, we determine their real energy requirements from energy performance certificates and energy billing information. We develop a new measure for regulation intensity and apply a panel-error-correction regression model to energy requirements of low and high quality housing. Our findings suggest that regulation significantly impacts technology adoption in low quality housing. This, in turn, induces improvements in the high quality segment where innovators respond to market signals.
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Why Do Banks Provide Leasing?
D. Bülbül, Felix Noth, M. Tyrell
Journal of Financial Services Research,
Nr. 2,
2014
Abstract
Banks are engaging in leasing activities at an increasing rate, which is demonstrated by aggregated data for both European and U.S. banking companies. However, little is known about leasing activities at the bank level. The contribution of this paper is the introduction of the nexus of leasing in banking. Beginning from an institutional basis, this paper describes the key features of banks’ leasing activities using the example of German regional banks. The banks in this sample can choose from different types of leasing contracts, providing the banks with a degree of leeway in conducting business with their clients. We find a robust and significant positive impact of banks’ leasing activities on their profitability. Specifically, the beneficial effect of leasing stems from commission business in which the bank acts as a middleman and is not affected by the potential defaults of customers.
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