Journal of Economic Growth

The growth process for a technological leader is different from that of a follower. While followers can grow through imitation and capital deepening, a leader must undertake original research. This suggests that as the gap between the leader and the follower narrows, the follower must undertake more genuinely innovative R&D and possibly face a slower overall growth rate. The results of a dynamic panel equilibrium-correction model of productivity growth suggest that the productivity gap with the USA had a strong effect on the growth of Japanese manufacturing, and that changes in R&D intensity also made a significant contribution. Moreover, the effect of the productivity gap was significantly higher in industries that had higher R&D intensities, higher levels of human capital, and were more open to exports.

Using panel analysis for a large cross-section of countries, we find that liquidity creation by banks is positively associated with economic growth at country and industry levels. Liquidity creation boosts tangible, but not intangible investment and does not contribute to growth in countries with a high share of industries reliant on intangible assets. These findings are consistent with a theoretical model in which liquidity creation fosters investment only if it is sufficiently tangible. Our results shed light on important heterogeneities in the role of banks in the economic development process and their limited role in countries’ transition to knowledge economies.

There has been a phenomenal global increase in the proportion of women in politics in the last two decades, but there is no evidence of how this has influenced economic performance. We investigate this using data on competitive elections to India’s state assemblies, leveraging close elections to isolate causal effects. We find significantly higher growth in economic activity in constituencies that elect women and no evidence of negative spillovers to neighbouring male-led constituencies, consistent with net growth. Probing mechanisms, we find evidence consistent with women legislators being more efficacious, less corrupt and less vulnerable to political opportunism.

We study the Black Death pogroms to shed light on the factors determining when a minority group will face persecution. Negative shocks increase the likelihood that minorities are persecuted. But, as shocks become more severe, the persecution probability decreases if there are economic complementarities between majority and minority groups. The effects of shocks on persecutions are thus ambiguous. We compile city-level data on Black Death mortality and Jewish persecutions. At an aggregate level, scapegoating increases the probability of a persecution. However, cities which experienced higher plague mortality were less likely to persecute. Furthermore, for a given mortality shock, persecutions were more likely where people were more inclined to believe conspiracy theories that blamed the Jews for the plague and less likely where Jews played an important economic role.

US economic activity is overwhelmingly concentrated at its ocean and Great Lakes coasts, reflecting a large contribution from coastal proximity to productivity and quality of life. Extensively controlling for correlated natural attributes and initial conditions decisively rejects that the coastal concentration of economic activity is spurious or just derives from historical forces long since dissipated. Measuring proximity based on coastal attributes that contribute to either productivity or quality of life, but not to both, suggests that the coastal concentration derives primarily from a productivity effect but also, increasingly, from a quality of life effect.

This paper demonstrates that an increase in the relative supply of educated workers generates a structural change in the production structure towards a knowledge-intensive production process. This structural shift may ultimately lead to an increase in the return to educated labor despite the increase in their supply. The paper argues that the steady increase in the supply of educated workers that most Western economies have experienced in recent decades may be viewed as the driving force behind the observed pattern of wage inequality. In particular, the paper demonstrates that if firms can appropriate a sufficient share of the intertemporal return from knowledge generating activities of their labor force, a gradual increase in the supply of skilled workers would generate only a temporary reduction in the skill premium followed by a permanent increase in the return to skill.

What are the effects of blocking patents on R&D and consumption? This paper develops a quality-ladder growth model with overlapping intellectual property rights and capital accumulation to quantitatively evaluate the effects of blocking patents. The analysis focuses on two policy variables (a) patent breadth that determines the amount of profits created by an invention and (b) the profit-sharing rule that determines the distribution of profits between current and former inventors along the quality ladder. The model is calibrated to aggregate data of the US economy. Under parameter values that match key features of the US economy and show equilibrium R&D underinvestment, I find that optimizing the profit-sharing rule of blocking patents would lead to a significant increase in R&D, consumption and welfare. Also, the paper derives and quantifies a dynamic distortionary effect of patent policy on capital accumulation.

Rates of long-run economic growth are not independent across countries. To account for this dependence we decompose the spatial covariance function of growth rates into a function of each country’s own observable characteristics, its unobservable characteristics, and cross-country spillovers. We use original data on economic distance to structure observed variation in countries’ long term growth rates. We use this structure to estimate the magnitude of economic interdependence among nations, and to give a nonparametric characterization of the relationship between economic distance and the magnitude of cross-country spillovers. These spillovers turn out to be quite important, accounting for more of the spatial covariance in growth rates than unobservable variables, and by some measures rivalling the importance of the country’s own observable characteristics.

This paper examines the consequences of informational imperfections for economic growth in an overlapping generations model in which agents learn the technological parameters in a Bayesian fashion. Under mild sufficient conditions, beliefs converge to the true value of the technological parameters. Nevertheless, even short-lived informational imperfections could have lasting effects, as they alter the long-run equilibrium levels of the capital stock. Therefore, learning dynamics may explain some of the observed differences in the performance of countries with otherwise similar economic characteristics.