Discussion Papers
Discussion Papers
Huge low-carbon investments are required to reach the goals of the Paris Agreement. However, one obstacle for these investments may be public opposition to the installment of low-carbon technology due to high perceived net costs. In this paper, we analyze the local net costs of both wind turbines and PV farms, employing a hedonic price analysis on the universe of housing ads from German's largest online real estate platform for the period spanning from 2009 to 2021. Beyond estimating average treatment effects, we focus on distance and intensity specific effects of wind turbines and PV farms on property prices. We find that wind turbines exhibit a negative effect of 1.8-1.9% on property prices that fades out after 3 km of distance. This effect seems to become larger the more wind turbines are installed in the proximity of a property. PV farms reduce property prices more locally only up to a 2 km distance by 1.9%.
Link to paper: Draft
This study pushes our understanding of research reliability by reproducing and replicating claims from110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of the re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes.
Link to paper: Draft