In recent years, insurance against natural disasters has gained recognition as an important tool for climate risk management that could, if carefully implemented, help increase the resilience of those insured. In response, insurance solutions are increasingly tested and applied in many countries...

In recent years, insurance against natural disasters has gained recognition as an important tool for climate risk management that could, if carefully implemented, help increase the resilience of those insured. In response, insurance solutions are increasingly tested and applied in many countries...

In recent years, insurance against natural disasters has gained recognition as an important tool for climate risk management that could, if carefully implemented, help increase the resilience of those insured. In response, insurance solutions are increasingly tested and applied in many countries...

Large Language Models (LLMs) can dramatically improve upon traditional text-based measurement tools used by economists. We fit, test and train the "Work-from-Home Algorithmic Measure" (WHAM) model to detect new online job postings offering remote/hybrid arrangements. The WHAM model has...

This paper leverages generative AI to build a network structure over 5,000 product nodes, where directed edges represent input-output relationships in production. We layout a two-step 'build-prune' approach using an ensemble of prompt-tuned generative AI classifications. The 'build' step...

This paper leverages generative AI to build a network structure over 5,000 product nodes, where directed edges represent input-output relationships in production. We layout a two-step ‘build-prune’ approach using an ensemble of prompt-tuned generative AI classifications. The ’build’ step...

The pandemic catalyzed an enduring shift to remote work. To measure and characterize this shift, we examine more than 250 million job vacancy postings across five English-speaking countries. Our measurements rely on a state-of-the-art language-processing framework that we fit, test, and refine...