The paper develops a simple model to exemplify how social trust might affect the growth of schooling through lowering transaction costs associated with employing educated individuals. In a sample of 52 countries, the paper thereafter provides empirical evidence that trust has led to faster...

We propose an innovation-driven growth model in which education is determined by family background and cognitive ability. We show that compulsory schooling can move a society from elite education to mass education, which then triggers market R&D. This means that our model rationalizes two...

For most of human history there existed a well-educated and innovative elite whereas mass education, market R&D, and high growth are phenomena of the modern period. In order to explain these phenomena we propose an innovation-driven growth model for the very long run in which the...

Students around the world are going to school but are not learning – an emerging gap in human capital formation. To understand this gap, this paper introduces a new data set measuring learning in 164 countries and territories. The data cover 98 percent of the world's population from 2000 to...

A heightened interest in understanding the remitting practices of immigrants and their impact on a variety of economic indicators has emerged as remittances to developing countries have risen substantially over the past decade. If remittances primarily enhance consumption, they may have no...

This paper studies the long-run macroeconomic, distributional and welfare effects of tuition policy and student loans. We therefore form a rich model of risky human capital investment based on the seminal work of Heckman, Lochner and Taber (1998). We extend their original model by variable labor...

We examine whether parental and school investments reinforce or compensate for student performance. Our analysis exploits school-starting-age rules in 34 countries, capturing achievement variation that arises because younger children typically underperform their older peers. Parents respond to...