This paper presents a multisector growth model where education enhances general human capital, which is essential for increasing or maintaining the mobility of workers across industries. The paper shows that education, combined with international trade, can affect growth positively in the long run by raising workers’ ability to adapt and move easily to industries with the greatest productivity in each period. Depending on the initial ratio of general-to-specific human capital stock, multiple equilibrium growth paths can exist, including a poverty trap. If the ratio is not substantially low, trade liberalization can allow an economy in a poverty trap to transform into one with continuous education and higher output growth.
Mr. Anton Korinek, Mr. Martin Schindler, and Joseph Stiglitz
Advances in artificial intelligence and automation have the potential to be labor-saving and to increase inequality and poverty around the globe. They also give rise to winner-takes-all dynamics that advantage highly skilled individuals and countries that are at the forefront of technological progress. We analyze the economic forces behind these developments and delineate domestic economic policies to mitigate the adverse effects while leveraging the potential gains from technological advances. We also propose reforms to the global system of governance that make the benefits of advances in artificial intelligence more inclusive.
This paper studies the effect of individual uncertainty on collective decision-making to implement innovation. We show how individual uncertainty creates a bias for the status quo even under irreversible voting decisions, in contrast with Fernandez and Rodrik (1991). Blocking innovation is rooted in the aversion to the potential loss of political clout in future voting decisions. Thus, risk neutral individuals exhibit what we call political risk aversion. Yet individual uncertainty is not all bad news as it may open the door to institutional reform. We endogenize institutional reform and show a non-monotonic relationship between institutional efficiency and the size of innovation.
This paper provides empirical evidence on the response of labor productivity to the arrival of new inventions. The benchmark measure of technological progress is given by data on patent applications in the U.S. over the period 1889-2002. The analysis shows that labor productivity may temporarily fall below trend after technological progress. However, the effects on productivity differ between the pre- and post-World War II periods. The pre-war period shows evidence of a productivity slowdown as a result of the arrival of new technology, whereas the post-World War II period does not. Positive effects of technology shocks tend to show up sooner in the productivity data in the later period.