The COVID-19 pandemic resulted in significant disruption in schooling worldwide. This paper uses global test score data to estimate learning losses. It models the effect of school closures on achievement by predicting the deviation of the most recent results from a linear trend using data from...

Theory predicts that global economic growth will stagnate and even come to an end due to slower and eventually negative growth in population. It has been claimed, however, that Artificial Intelligence (AI) may counter this and even cause an economic growth explosion. In this paper, we critically...

This paper identifies five areas where climate change may impact work and draws lessons for developing countries by reviewing the evidence. Firstly, demand for labor is unevenly affected, with agriculture, heat-exposed manufacturing, and the brown energy sector experiencing downturns, while...

The existing literature investigating the labor market impact of immigration assumes, implicitly or explicitly, that the law or labor regulation is exogenous to immigration. To test this assumption, we build a novel workers' protection measure based on 36 labor law variables that capture labor...

Are labor markets in higher-income countries more meritocratic, in the sense that worker-job matching is based on skills rather than idiosyncratic attributes unrelated to productivity? If so, why? And what are the aggregate consequences? Using internationally comparable data on worker skills and...

Using the EconLit dissertation database and large-scale algorithmic methods that identify author demographics from names, we investigate the connection between the gender of economics dissertators and dissertation topics. Despite stagnation in the share of women among economics Ph.D.s in recent...

Using provisions to ease the movement of business visitors in trade agreements, we show that removing barriers to the movement of business people promotes trade. We document the increasing complexity of Free Trade Agreements and develop an algorithm that combines machine learning and text...

We investigate financial experts' beliefs about climate risk pricing and analyze how those beliefs influence stock return expectations. In a comprehensive survey, we elicit experts' beliefs using both structured and open-ended questions. We establish that most experts share the view that climate...