Asymmetric Investment Responses to Firm-specific Forecast Errors
IWH Discussion Papers,
This paper analyses how firm-specific forecast errors derived from survey data of German manufacturing firms over 2007–2011 affect firms’ investment propensity. Understanding how forecast errors affect firm investment behaviour is key to mitigate economic downturns during and after crisis periods in which forecast errors tend to increase. Our findings reveal a negative impact of absolute forecast errors on investment. Strikingly, asymmetries arise depending on the size and direction of the forecast error. The investment propensity declines if the realised situation is worse than expected. However, firms do not adjust investment if the realised situation is better than expected suggesting that the uncertainty component of the forecast error counteracts positive effects of unexpectedly favorable business conditions. Given that the fraction of firms making positive forecast errors is higher after the peak of the recent financial crisis, this mechanism can be one explanation behind staggered economic growth and slow recovery following crises.
12.02.2020 • 2/2020
Causes of populism: IWH begins international research project
Is the increasing strength of populist parties due to economic causes? The Halle Institute for Economic Research (IWH) is set to play a leading role in scrutinising this controversial question with immediate effect, together with researchers from England, Scotland and the Czech Republic. The Volkswagen Foundation is funding this interdisciplinary project to the tune of almost one million euro for four years.
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Gift-exchange in Society and the Social Integration of Refugees: Evidence from a Field, a Laboratory, and a Survey Experiment
IWH Discussion Papers,
Refugee integration needs broad support from society, but only a minority is actively engaged. Given that most individuals reciprocate kind behaviour, we examine the idea that the proportion of supporters is increasing as a reciprocal response to refugees’ contributions to society through volunteering. Our nationwide survey experiment shows that the intentions to contribute time and money rise significantly when citizens learn about refugees’ pro-social activities. Importantly, this result holds for individuals who have not been in contact to refugees so far. We complement this investigation by experiments in the lab and the field – which confirm our findings for actual behaviour.
Launch of IWH Bankruptcy Update From now on, the IWH provides a monthly update on corporate bankruptcy in Germany. It is...
Four Research Clusters ...
Predicting Free-riding in a Public Goods Game – Analysis of Content and Dynamic Facial Expressions in Face-to-Face Communication
IWH Discussion Papers,
This paper illustrates how audio-visual data from pre-play face-to-face communication can be used to identify groups which contain free-riders in a public goods experiment. It focuses on two channels over which face-to-face communication influences contributions to a public good. Firstly, the contents of the face-to-face communication are investigated by categorising specific strategic information and using simple meta-data. Secondly, a machine-learning approach to analyse facial expressions of the subjects during their communications is implemented. These approaches constitute the first of their kind, analysing content and facial expressions in face-to-face communication aiming to predict the behaviour of the subjects in a public goods game. The analysis shows that verbally mentioning to fully contribute to the public good until the very end and communicating through facial clues reduce the commonly observed end-game behaviour. The length of the face-to-face communication quantified in number of words is further a good measure to predict cooperation behaviour towards the end of the game. The obtained findings provide first insights how a priori available information can be utilised to predict free-riding behaviour in public goods games.
Members & Research Doctoral Students Annika Backes ; Doctoral thesis project: tba Dmitri Bershadskyy ; Doctoral thesis project: "Experimental Analysis...
DPE Faculty A B C D E F G H I J...
Brown Bag Seminar
Brown Bag Seminar Financial Markets Department The seminar series "Brown...
Expectation Formation, Financial Frictions, and Forecasting Performance of Dynamic Stochastic General Equilibrium Models
Historical Social Research,
Special Issue: Governing by Numbers
In this paper, we document the forecasting performance of estimated basic dynamic stochastic general equilibrium (DSGE) models and compare this to extended versions which consider alternative expectation formation assumptions and financial frictions. We also show how standard model features, such as price and wage rigidities, contribute to forecasting performance. It turns out that neither alternative expectation formation behaviour nor financial frictions can systematically increase the forecasting performance of basic DSGE models. Financial frictions improve forecasts only during periods of financial crises. However, traditional price and wage rigidities systematically help to increase the forecasting performance.