The author, a legal scholar, reviews academic literature regarding and otherwise relevant to the study of female entrepreneurship from across multiple disciplines. She reports that the legal academy has only minimally engaged in entrepreneurship scholarship and not at all as to female...

Global Recession to Global Recovery: It is well known fact that all good things, as also bad things, come to an end and business cycles pass through good and bad economic times. Economically 2010 was a year of transition from economic recession to recovery. Economies were improving in some...

Even if today's successful companies operating in the market were start-ups at some time, so far, no consensus could be found, if entrepreneurship is to be understood as an independent research discipline. Should entrepreneurship have its own theory based on generally accepted assumptions and...

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

We construct a model where incumbents can either acquire basic innovations from entrepreneurs, or wait and acquire developed innovations from entrepreneurial firms supported by venture capitalists. We show that venture-backed entrepreneurial firms have an incentive to overinvest in development...

Entrepreneurs face higher commercialization costs than incumbents. We show that this implies that entrepreneurs will choose more risky projects than incumbents, aiming to reduce their high expected marginal commercialization cost. However, entrepreneurs may select too safe projects from a social...

Employment growth is strongly predicted by smaller average establishment size, both across cities and across industries within cities, but there is little consensus on why this relationship exists. Traditional economic explanations emphasize factors that reduce entry costs or raise...

Draft chapter for the forthcoming Handbook of Regional and Urban Economics, Vols. 5A and 5B This paper reviews academic research on the connections between agglomeration and innovation. The authors first describe the conceptual distinctions between invention and innovation. They then discuss how...

The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...

Why are some places more entrepreneurial than others? We use Census Bureau data to study local determinants of manufacturing startups across cities and industries. Demographics have limited explanatory power. Overall levels of local customers and suppliers are only modestly important, but new...