This paper characterizes the equilibrium for a large class of search models with two-sided heterogeneity and on-the-job search. Besides the well-known congestion externalities, we show that on-the-job search in combination with monopsonistic wage setting without commitment creates a...

This paper shows that we can normalize job and worker characteristics so that, without frictions,there exists a linear relationship between wages on the one hand and worker and job type indiceson the other. However, for five European countries and the United States we find strong evidencefor a...

Existing studies show a positive relationship between entrepreneurs' business performance and their conventional human capital as measured by previous business experience and formal education. In this paper, we explore whether illegal entrepreneurship experience (IEE), an unconventional form of...

When workers send applications to vacancies they create a network. Frictionsarise because workers typically do not know where other workers apply to and firmsdo not know which candidates other firms consider. The first coordination frictionaffects network formation, while the second coordination...

In this paper we study the allocation of workers over high and low productivity firms in a labor market with coordination frictions. Specifically, we consider a search model where workers can apply to high and or low productivity firms. Firms that compete for the same candidate can increase...

An advantage of collective wage agreement is that search and business-stealing externalities can be internalized. A disadvantage is that it takes more time before an optimal allocation is reached because more productive firms (for a particular worker type) can no longer signal this by posting...

In this paper, we develop two hypotheses: First, regional innovation efforts have a positive impact on regional knowledge based entrepreneurial activity. Second, knowledge based entrepreneurship positively affects regional economic performance. We test these hypotheses using county level data...