Informality and Long‐Run Growth

Abstract

One of the most salient features of developing economies is the existence of a large informal sector. In this paper, we use quantitative theory to study the dynamic implications of informality on wage inequality, human capital accumulation, child labor, and long‐run growth. Our model can generate transitory informality equilibria or informality‐induced poverty traps. Its calibration reveals that the case for the poverty‐trap hypothesis arises: although informality serves to protect low‐skilled workers from extreme poverty in the short run, it prevents income convergence between developed and developing nations in the long run. Then we examine the effectiveness of different development policies to exit the poverty trap. Our numerical experiments show that using means‐tested education subsidies is the most cost‐effective single policy option. However, for longer time horizons, or as the economy gets closer to the poverty trap threshold, combining means‐tested education and wage subsidies is even more effective.