An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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31.07.2018 • 16/2018
Fairness pays off
When companies arbitrarily cut their wages, the motivation and productivity of the employees decrease – this is clear. Less obvious, however: employees also become less productive even if it is their colleagues who are treated unfairly and not them. This was confirmed by a research group led by Sabrina Jeworrek at the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association.
Sabrina Jeworrek
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Indirekte Effekte von als unfair wahrgenommenem Arbeitgeberverhalten auf die Produktivität von Beschäftigten
Sabrina Jeworrek
Wirtschaft im Wandel,
No. 3,
2018
Abstract
Jede Organisation, die darüber nachdenkt zu restrukturieren, Löhne zu kürzen oder Angestellte zu entlassen, sollte auch über mögliche Reaktionen der persönlich nicht betroffenen Arbeitnehmer nachdenken. Dieser Beitrag präsentiert Ergebnisse eines Feldexperiments. Es offenbart, dass die als unfair wahrgenommene Handlung des Arbeitgebers – in diesem Fall die Entlassung von Arbeitskollegen – die anschließende Produktivität der nicht direkt betroffenen Arbeitskräfte mindert. Als Teil des Experiments antizipierten erfahrene Personalmanager zwar im Durchschnitt erfolgreich die Konsequenzen unfairen Arbeitgeberverhaltens auf nicht betroffene Arbeitnehmer, einzeln lagen sie jedoch oft daneben.
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Measuring Indirect Effects of Unfair Employer Behavior on Worker Productivity – A Field Experiment
Matthias Heinz, Sabrina Jeworrek, Vanessa Mertins, Heiner Schumacher, Matthias Sutter
Abstract
We present a field experiment in which we set up a call-center to study how the productivity of workers is affected if managers treat their co-workers in an unfair way. This question cannot be studied in long-lived organizations since workers may change their career expectations (and hence effort) when managers behave unfairly towards co-workers. In order to rule out such confounds and to measure productivity changes of unaffected workers in a clean way, we create an environment where employees work for two shifts. In one treatment, we lay off parts of the workforce before the second shift. Compared to two different control treatments, we find that, in the layoff treatment, the productivity of the remaining, unaffected workers drops by 12 percent. We show that this result is not driven by peer effects or altered beliefs about the job or the managers’ competence, but rather related to the workers’ perception of unfair behavior of employers towards co-workers. The latter interpretation is confirmed in a survey among professional HR managers. We also show that the effect of unfair behavior on the productivity of unaffected workers is close to the upper bound of the direct effects of wage cuts on the productivity of affected workers. This suggests that the price of an employer’s unfair behavior goes well beyond the potential tit-for-tat of directly affected workers.
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Indirect Effects of Unfair Employer Behaviour on Workplace Performance
Matthias Heinz, Sabrina Jeworrek, Vanessa Mertins, Heiner Schumacher, Matthias Sutter
VOX CEPR's Policy Portal,
2017
Abstract
Any organisation that needs to restructure, cut wages, or make layoffs needs to know how the employees who are not affected will respond. This column presents a field experiment which revealed that the perception that employers are unfair – in this case, as a result of layoffs – reduces the performance of employees who have not been not directly affected. As part of the experiment, experienced HR managers were able to successfully anticipate the consequences of unfair employer behaviour on unaffected workers.
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28.09.2017 • 35/2017
Joint Economic Forecast—Autumn 2017: Upturn Remains Robust—Amid Mounting Tensions
The German economic upturn has gained both in terms of strength and breadth. In addition to consumer spending, external trade and investments are now also contributing to economic expansion. These are the conclusions drawn by the economic research institutes in their autumn report for the German federal government. Whereas the very high economic momentum in the first half of the current year will slow slightly, expansion of economic output this year and next will exceed production capacity growth. As a result, overall capacity utilization will increase, with economic output exceeding potential output. Gross Domestic Product is likely to grow by 1.9 percent this year and by 2 percent in 2018 (calendar-adjusted: 2.2 and 2.1 percent, respectively).
Oliver Holtemöller
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02.09.2016 • 35/2016
The German Economy: Still Robust Despite Sliding Sentiment
The prospects for the German economy are still quite favorable. While sentiment indicators suggest that growth will slow at the end of the year, domestic demand will continue on an upward trend. The German GDP should increase by 1.9% in 2016. For 2017 we expect a lower growth rate of 1.2%“Weaker export volumes and higher growth of imports are the relevant factors for the slowdown”, says Prof Oliver Holtemöller, IWH Vice president. Unemployment will rise a bit as more refugees enter the labor market. Consumer price inflation remains moderate. The general government balance (cyclically ad¬justed as well as unadjusted) will be in surplus in both 2016 and 2017.
Oliver Holtemöller
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11.08.2016 • 34/2016
2016 stress tests: Italian banks don’t look worse than German large commercial banks
The European Banking Authority today presented the results of the 2016 stress tests. They show that most European banks appear more or less stable. “What worries me is, however, that the Italian banks do not look worse than the large German commercial banks,” says Reint E. Gropp, president of the Halle Institute for Economic Research (IWH). “It appears that both Deutsche Bank and Commerzbank would benefit significantly from an increase in equity. The stress test was also missing two crucial points: One, the effect of a long lasting low interest rate environment on banks was not simulated. And second, the test did not take into consideration that many small institutions could fail at the same time. This is not an unlikely scenario, given how small banks in particular struggle with shrinking interest margins,“ says Gropp. Finally, the stress test should not distract from the urgency to solve the problems in the Italian banking system.
Reint E. Gropp
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Taxation, Corruption, and Growth
Philippe Aghion, Ufuk Akcigit, Julia Cagé, William R. Kerr
European Economic Review,
2016
Abstract
We build an endogenous growth model to analyze the relationships between taxation, corruption, and economic growth. Entrepreneurs lie at the center of the model and face disincentive effects from taxation but acquire positive benefits from public infrastructure. Political corruption governs the efficiency with which tax revenues are translated into infrastructure. The model predicts an inverted-U relationship between taxation and growth, with corruption reducing the optimal taxation level. We find evidence consistent with these predictions and the entrepreneurial channel using data from the Longitudinal Business Database of the US Census Bureau. The marginal effect of taxation for growth for a state at the 10th or 25th percentile of corruption is significantly positive; on the other hand, the marginal effects of taxation for growth for a state at the 90th percentile of corruption are much lower across the board. We make progress towards causality through Granger-style tests and by considering periphery counties where effective tax policy is largely driven by bordering states. Finally, we calibrate our model and find that the calibrated taxation rate of 37% is fairly close to the model׳s estimated welfare maximizing taxation rate of 42%. Reducing corruption provides the largest potential impact for welfare gain through its impact on the uses of tax revenues.
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How Selective Are Real Wage Cuts? A Micro-analysis Using Linked Employer–Employee Data
Boris Hirsch, Thomas Zwick
LABOUR: Review of Labour Economics and Industrial Relations,
No. 4,
2015
Abstract
Using linked employer–employee panel data for Germany, we investigate whether firms implement real wage reductions in a selective manner. In line with insider–outsider and several strands of efficiency wage theory, we find strong evidence for selective wage cuts with high-productivity workers being spared even when controlling for permanent differences in firms' wage policies. In contrast to some recent contributions stressing fairness considerations, we also find that wage cuts increase wage dispersion among peers rather than narrowing it. Notably, the same selectivity pattern shows up when restricting our analysis to firms covered by collective agreements or having a works council.
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