This paper relates incomplete price competition among real estate agents to inattentive home sellers. I exploit a recent legal reform in Germany which specifically aimed to increase price competition among real estate agents by raising the cost salience of sellers. I find that the reform backfired and real estate agents exploited the transition to increase their total commission rate by 0.3...
The energy and climate crisis enhance the need for energy savings. In the building sector, these savings can be achieved primarily through thermal retrofitting. So far, progress in this area has been slow. To date, less than one percent of the residential building stock in Germany is retrofitted each year. The existing support programs alone offer too little reliability for the necessary...
Housing bubbles and crashes are catastrophic events for economies, implying enormous destruction of housing wealth, financial default risks, construction unemployment, and business cycle downturns. This paper investigates whether governmental housing policies can affect economies’ propensity to build up speculative house price bubbles. Specifically, we focus on the liberalization effects of rent and ...
According to the latest review report of the Council of Experts on Climate Change, the German building sector failed to meet its greenhouse gas emission reduction targets in 2022. This is in part because investments in energy-efficient building refurbishment—supported by all kinds of policy measures— has neither been low nor shown a consistently positive trend over the past ten years. Furthermore, ...
Various stakeholders are increasingly encouraging companies from the real economy to adopt measures facilitating their transition towards carbon neutrality. In this context, companies are expected to implement forward-looking strategies and climate-related reporting practices using scenario analysis aligned with scientific evidence and credible pathways to net zero carbon emissions. This paper examines ...
Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric machine learning algorithm that automatizes the selection of non-linear terms in regression models. In this study, we propose using MARS in a spatial regression framework to account for potential non-linearities and spatial effects in spatial regression models. Using a relatively large data set of 17,000 dwellings ...
By the end of the Second World War, an estimated 20 percent of the West German housing stock had been destroyed. Building on a theoretical lifecycle model of wealth accumulation, this paper examines the extent to which regional differences in destruction can explain differences in wealth today” – at the beginning of the 21st century. As our empirical basis, we link a unique historical dataset on the ...