The Halle Economic Projection Model

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. (2008a,b,c). 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% 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 historical shock decomposition.     

Funktionswandel der EZB?

Die Kernaufgabe der Europ?ischen Zentralbank ist es, die Preisstabilit?t zu gew?hrleisten. Die Finanz- und Staatsschuldenkrise hat der EZB die Rolle aufgezwungen, durch Notma?nahmen die Stabilit?t der W?hrungsunion zu sichern. Ihre Unabh?ngigkeit wird zunehmend dadurch gef?hrdet, dass es in diesem Prozess zu einer Verquickung von Fiskal- und Geldpolitik kommt. W ünschenswert w?re eine Rückkehr der EZB zu ihrer alten Rolle und eine Strategie, die für einen Abbau der weltweiten und europ?ischen Ungleichgewichte sorgen k?nnte.     

Loan supply shocks during the financial crisis: Evidence for the Euro area

This paper employs a panel vector autoregressive model for the member countries of the Euro Area to explore the role of banks during the slump of the real economy that followed the financial crisis. In particular, we seek to quantify the macroeconomic effects of adverse loan supply shocks, which are identified using sign restrictions. We find that loan supply shocks significantly contributed to the evolution of the loan volume and real GDP growth in all member countries during the financial crisis. However, concerning both, the timing and the magnitude of the shocks our results also indicate that the Euro Area was characterized by a considerable degree of cross-country heterogeneity.     

Comparing Compliance Behaviour of Students and Farmers. An Extra-laboratory Experiment in the Context of Agri-environmental Nudges in Germany

Increasing popularity of economic experiments for policy impact analysis has led to an on-going debate about the suitability of students to substitute professionals as experimental subjects. To date, subject pool effects in agricultural and resource economics experiments have not been sufficiently studied. In order to identify differences and similarities between students and non-students, we carry out an experiment in the form of a multi-period business management game that is adapted to an agri-environmental context. We compare the compliance behaviour of German agricultural students and German farmers with regard to water protection rules and analyse their responses to two different green nudge interventions. The experimental results reveal that the direction of the response to the policy treatments is similar. Even unexpected behaviour could be reproduced by the student sample. Nevertheless, the magnitude of the treatment effects differed between the two samples. This implies that experimenters in the field of agricultural and resource economics could use the subject pool of students to analyse the direction of nudge policies. If predictions should be made about the magnitude effects, we suggest using a professional subject pool.     

Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.     

Measuring and forecasting mobile game app engagement

Monetization strategies in the large and strongly growing mobile app space must go beyond traditional purchase revenue as most mobile apps are now free to download. One key marketing innovation allows mobile app publishers to monetize ongoing engagement — in-app advertising.We study ongoing user engagement with a mobile app after the initial download decision using the $40 billion mobile gaming industry as an example. Our study investigates and forecasts user engagement after the initial download aiming to help publishers to monetize their engagement via in-app advertising. We leverage a novel dataset containing user-level engagement for 193 mobile games and propose a hierarchical Poisson model on a mobile-game level. We find significant usage heterogeneity across the mobile games studied and generate forecasts publishers can use when trying to monetize engagement via pre-sold contracts.     

Contextual Framing and Monetary Incentives in Field Experiments on Risk Preferences: Evidence from German Farmers

Recent studies cast doubt on the ability of abstract experiments to predict decision‐making in the field. Thus, scholars have argued for more ‘realism’ by introducing context to field experiments. Yet, such realism may work against the induced values of monetary incentives in economic experiments. It is an open question whether contextual framing works best with or without inducing values, through methods such as the use of monetary incentives. Using a sample of 146 German farmers, we compare experimentally the predictive power of a framed lottery in an agricultural context vs. using an abstract version. For one half of the sample, lotteries are incentivised; for the other half, they are hypothetical. Although risk preferences differ between treatments, all four lottery tasks correlate poorly with farmers’ real‐world use of risk management instruments such as harvest or hail insurance. Subjects who start with an agricultural framing are willing to take significantly greater risks in the lotteries. More generally, our findings cast doubt on the ability of lottery tasks to predict risk‐taking in the field.     

Conditional risk measures in a bipartite market structure

In this paper, we study the effect of network structure between agents and objects on measures for systemic risk. We model the influence of sharing large exogeneous losses to the financial or (re)insurance market by a bipartite graph. Using Pareto-tailed losses and multivariate regular variation, we obtain asymptotic results for conditional risk measures based on the Value-at-Risk and the Conditional Tail Expectation. These results allow us to assess the influence of an individual institution on the systemic or market risk and vice versa through a collection of conditional risk measures. For large markets, Poisson approximations of the relevant constants are provided. Differences of the conditional risk measures for an underlying homogeneous and inhomogeneous random graph are illustrated by simulations.     

Displaying expected values in risk elicitation tasks: the effect of information in experimental risk research

We investigate the influence of providing expected lottery results to experiment participants in two common risk attitude elicitation tasks. In a between-subject design, either the Holt and Laury task or the Eckel and Grossman task is carried out by a sample of 208 students. We find no significant effect of shown expected values on the risk attitude measured by the tasks. This result even holds true if we divide the experiment participants into specific sub-groups, i.e. female and male, or lower numeracy and higher numeracy participants. Furthermore, comprehension and processing time are not significantly influenced by presented expected values. Therefore, we conclude that providing information on expected values does not influence decision-making in tasks involving risk. This result indicates the robustness of elicited risk attitudes to variation in common experimental methods, and demonstrates that more information could be provided without creating bias in the results.