This paper analyses the effects of growth on long-run unemployment using a search model of equilibrium unemployment where growth arises explicitly from the introduction of new technologies that require labour reallocation for their implementation. The analysis uncovers and compares between two competing effects of growth on unemployment. The first is a capitalisation effect, whereby an increase in growth raises the capitalised returns from creating jobs and consequently reduces the equilibrium rate of unemployment. The second is a creative destruction effect whereby an increase in growth reduces the duration of a job match, thereby raising the equilibrium level of unemployment both directly, by raising the job separation rate, and indirectly, by discouraging the creation of job vacancies.

We introduce imperfect creditor protection in a multicountry Schumpeterian growth model. The theory predicts that any country with more than some critical level of financial development will converge to the growth rate of the world technology frontier, and that all other countries will have a strictly lower long-run growth rate. We present evidence supporting these and other implications, in the form of a cross-country growth regression with a significant and sizable negative coefficient on initial per-capita GDP (relative to the United States) interacted with financial intermediation. In addition, we find that other variables representing schooling, geography, health, policy, politics, and institutions do not affect the significance of the interaction between financial intermediation and initial per capita GDP, and do not show any independent effect on convergence in the regressions. Our findings are robust to removal of outliers and to alternative conditioning sets, estimation procedures, and measures of financial development.

This paper investigates the relationship between product market competition and innovation. We find strong evidence of an inverted-U relationship using panel data. We develop a model where competition discourages laggard firms from innovating but encourages neck-and-neck firms to innovate. Together with the effect of competition on the equilibrium industry structure, these generate an inverted-U. Two additional predictions of the model—that the average technological distance between leaders and followers increases with competition, and that the inverted-U is steeper when industries are more neck-and-neck—are both supported by the data.