I am a Postdoctoral Researcher at the University of Tuebingen. I work in the area of macroeconomics with heterogeneity, using structural models that relate macro- and micro-level data. I hold a PhD in Economics from the University of Bonn.
Fundamental Stock Price Cycles
Abstract. News shocks about higher future capital returns can explain stock price-booms and subsequent -busts in a two-asset, heterogeneous agent New Keynesian model. The portfolio choice between more liquid and less liquid forms of capital is key, as it allows for a time-varying illiquidity premium. The arrival of investment opportunities induces capital-rich households to hold more illiquid capital at a lower premium, in anticipation of higher future returns on it. The anticipated higher consumption risk due to less liquid portfolios increases the value of more liquid assets, like stocks. When capital returns mean-revert, capital-rich households rebalance their portfolios, which increases the illiquidity premium and causes stock prices to fall. Novel evidence from survey data on portfolio choices of capital-wealthy households during stock price boom-bust cycles supports the key mechanism of the model.
Newest version: pdf
An Endogenous Gridpoint Method for Distributional Dynamics (with Christian Bayer, University of Bonn, Ralph Luetticke, and Yannis Winkelmann, both University of Tuebingen)
Journal of Monetary Economics, r&r
Abstract. The “histogram method” (Young, 2010), while the standard approach for analyzing distributional dynamics in heterogeneous agent models, is linear in optimal policies. We introduce a novel method that captures nonlinearities of distributional dynamics. This method solves the distributional dynamics by interpolation instead of integration, which is made possible by making the grid endogenous. It retains the tractability and speed of the histogram method, while increasing numerical efficiency even in the steady state and producing significant economic differences in scenarios with aggregate risk. We document this by studying aggregate investment risk with a third-order solution using perturbation techniques.
Newest version: pdf, CEPR Discussion Paper
Why Do Supply Disruptions Lead to Inflation? (with Thomas Kohler, independent scholar, Jean-Paul L’Huillier, Brandeis University, and Gregory Phelan, Williams College)
Short Abstract. According to anecdotal accounts, firms tend to justify price increases as a need to cover cost increases. Standard pricing models imply that firms do not only adjust to cost increases, but also to changes in spending (such as pent-up demand). We present a model where this is not necessarily the case. Our framework relies on a novel asymmetry between firms and consumers, where firms have more precise information about aggregate shocks. We discipline the model using a survey of firms during the post-pandemic reopening of the German economy in March 2021. In a calibrated version of the model supply shocks are responsible for most of the upward adjustment of prices.
You can find my CV here.