Economics of Media | Political Economy
Hamburg Media School, Finkenau 35, 22081 Hamburg, Germany
I am a senior research scientist at Hamburg Media School, Germany, and a research fellow at the University of Hamburg’s Institute for Media Economics. Most of my work focuses on the economics of news markets, especially from an empirical perspective. I am particularly interested in issues with political implications, such as media slant and negativity. My research is often based on panel data and emphasizes the identification of causal effects.
Hamburg Media School, Office 224, Finkenau 35, 22081 Hamburg, Germany
+49 40 413468 34
With Verena Pagels. September 2017.
With A. Rott and M. Wass von Czege. Journal of Broadcasting & Electronic Media, 59: 169–183, 2015.
With M. Arango-Kure and A. Rott. Journal of Media Economics, 27: 199–214, 2014.
Public Choice, 161: 499–515, 2014.
3rd Economics of Media Bias Workshop
After a successful start of the series in June 2015, the third Economics of Media Bias Workshop will take place on February 15-16, 2018, in Cologne, Germany. James M. Snyder, Jr. (Havard) and Ruben Durante (Sciences Po/Universitat Pompeu Fabra) are confirmed to deliver keynote speeches. The workshop, which is organized by my colleagues and me, addresses the forms, causes, and consequences of media bias, especially in news markets. The call for papers can be downloaded here. Posted: Sep. 05, 2017
Investigating the “Hoeneß effect”
Effects of Unemployment News on Economic Perceptions – Evidence from German Federal States
In a current working paper, I investigate whether news coverage about unemployment affects people’s perceptions of the state of the economy. I compile a German state-level data set, based on household surveys and information obtained from analyzing 35 newspapers. The data are used to separate media effects from real economic consequences, while exploiting two sources of exogenous variation. First, I consider psychologically important thresholds in the number of unemployed. The great news value of these “milestones”, which is not based on economic fundamentals, causes the media to report more about unemployment than usually. Second, I show that the amount of reports decreases when competing newsworthy events occur at the time of the release of the monthly unemployment statistics. Instrumental variable estimates indicate that a one standard deviation increase in coverage accounts for about a quarter of the average monthly change in the perception index. The findings help to understand (a) regional differences in economic sentiment and (b) incentives of politicians to manipulate economic statistics.
Posted: Nov. 16, 2016 (updated: Apr. 24, 2017)
Research Network obtains funding from the German Research Foundation (DFG)
My colleagues and I have been working on topics related to media bias for some time already. The German Research Foundation (DFG) recently agreed to support a proposal for an international, scientific network. The Research Network Economics of Media Bias promotes the discussion of ideas and work in the area, and it aims at integrating young researchers by connecting them with more experienced economists. As part of the network, it will be possible to continue the series of workshops “Economics of Media Bias”. Posted: Apr. 14, 2016