Refereed Jorunals
Refereed Jorunals
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%.
Science aspires to be cumulative. Reproducibility efforts strengthen science by testing the reliability of published findings, promoting self-correction, and informing policy-making. Computational reproductions, whereby independent researchers reproduce the results of published studies, are an essential diagnostic tool. Such efforts should have greater visibility. However, little social science reproduction and robustness has been conducted at scale. Here we reproduced original analyses and conducted robustness checks of 110 articles that were published in leading economics and political science journals with mandatory data and code sharing policies. We found that more than 85% of published claims were computationally reproducible. In robustness checks, our reanalyses showed that 72% of statistically significant estimates remain significant and in the same direction, and the median reproduced effect size is nearly the same as the originally published effect size (that is, 99% of the published effect size). Additionally, 6 independent research teams examined 12 pre-specified hypotheses about determinants of robustness. Research teams with more experience found lower levels of robustness, and robustness did not correlate with author characteristics or data availability.