published in: Comparative Labor Law and Policy Journal, 2007, 28 (4), 637-674
We study the effects of liquidity constraints and start-up costs on the relationship between wealth and the fraction of entrepreneurs in an economy. We develop a dynamic occupational choice model with endogenous wealth and entry into entrepreneurship. The model predicts that, with liquidity constraints, the probability of entering entrepreneurship is an increasing function of individual wealth while the introduction of start-up costs tends to flatten this relationship. The theoretical predictions can be tested on cross-sectional data with exogenous variation in liquidity constraints (e.g. access to credit) and business start-up costs. We use three highly comparable micro datasets (SHARE, ELSA and HRS) providing harmonized data on wealth and work status in 9 countries that characterized by very different levels of start-up costs and liquidity constraints. Our results support our theoretical predictions. While higher liquidity constraints yield a positive relationship with wealth profile for the fraction of workers in entrepreneurship, start-up costs weaken this relationship by depressing the marginal value of being an entrepreneur as a function of wealth. Countries with high start-up costs such as Italy, Spain and France have flatter wealth gradients.
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.