published in: Scandinavian Journal of Economics, 2017, 119(4), 1040-1085
One of the most salient features of developing economies is the existence of a large informal sector. This paper uses 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 is strong: 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. Sudden elimination of informality would induce severe welfare losses for several generations on the transition path. Hence, 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.
We use cookies to provide you with an optimal website experience. This includes cookies that are necessary for the operation of the site as well as cookies that are only used for anonymous statistical purposes, for comfort settings or to display personalized content. You can decide for yourself which categories you want to allow. Please note that based on your settings, you may not be able to use all of the site's functions.
Cookie settings
These necessary cookies are required to activate the core functionality of the website. An opt-out from these technologies is not available.
In order to further improve our offer and our website, we collect anonymous data for statistics and analyses. With the help of these cookies we can, for example, determine the number of visitors and the effect of certain pages on our website and optimize our content.