By Matteo Cervellati and Uwe Sunde
We propose a unified growth theory to investigate the mechanics generating the economic and demographic transition, and the role of mortality differences for comparative development. The framework can replicate the quantitative patterns in historical time series data and in contemporaneous cross-country panel data, including the bi-modal distribution of the endogenous variables across countries. The results suggest that differences in extrinsic mortality might explain a substantial part of the observed differences in the timing of the take-off across countries and the worldwide density distribution of the main variables of interest.
And now something completely different. By and large, unified growth theory is about understand the vary long-term growth trends, especially their changes around the various agricultural revolutions and the Industrial Revolution. I believe this literature is making big strides with papers like this one that does not simply obtain revolutions, but also explains why their timing is different across the world and obtains interesting quantitative results.