The climate econometrics toolkit

Climate econometrics is a rapidly advancing field, driven by accelerating climate change, the growing availability of climate data, and new computational methods for climate projection and statistical analysis. Many climate econometrics articles use a similar workflow, yet little effort has been made to provide software toolkit support. The Climate Econometric Toolkit integrates aspects from each step of this workflow into a single software package, supporting: (1) aggregating gridded climate data, (2) constructing and evaluating econometric models, and (3) computing climate impacts. The toolkit is written in Python and provides both a programming and graphical user interface (GUI). We present the functionality of the toolkit, the results of a qualitative evaluation, and two applications based on replications of published papers in the field. The goals of this toolkit are to improve the quality of climate econometrics science by standardizing researchers’ treatment of critical statistical factors, reduce code duplication between articles, and ease the statistical burden on climate econometrics researchers. • The Climate Econometrics Toolkit provides missing software support for the field. • Supports tasks such as data aggregation, model development, and impact projection. • Open-source Python package, with both a programming and graphical user interface. • Researchers found the toolkit streamlined workflows for climate econometric analyses. • Functionality demonstrated by replication of published climate econometrics studies.