Business cycles in emerging economies: the role of interest rates

We find that in a sample of emerging economies business cycles are more volatile than in developed ones, real interest rates are countercyclical and lead the cycle, consumption is more volatile than output and net exports are strongly countercyclical. We present a model of a small open economy, where the real interest rate is decomposed in an international rate and a country risk component. Country risk is affected by fundamental shocks but, through the presence of working capital, also amplifies the effects of those shocks. The model generates business cycles consistent with Argentine data. Eliminating country risk lowers Argentine output volatility by 27% while stabilizing international rates lowers it by less than 3%.     

A lot of different flowers make a bouquet: The effect of gender composition on technology-based entrepreneurial student teams

In this study we explore the role of compositional variables such as the proportion of women in teams and aspects of team dynamics such as communication frequency, multiplexity and the formation of subgroups, on the performance of technology-based entrepreneurial student teams. Using data collected during three time periods on 30 teams enrolled in a team-based entrepreneurship course run by a major Midwest university, our results showed that the proportion of women and the existence of multiplex ties among team members have a positive influence on team performance, while the number of team factions is negatively related to team performance. Implications for team-based entrepreneurship programs and women in technology entrepreneurship are drawn.

     

Entrepreneurship ecosystems and women entrepreneurs: a social capital and network approach

This study investigates the effects of venture typology, race, ethnicity, and past venture experience on the social capital distribution of women entrepreneurs in entrepreneurial ecosystems. Social network data from two municipal ecosystems in Florida, USA (Gainesville and Jacksonville), suggest that network connectivity and the distribution of social capital are significantly different for men and women entrepreneurs. This difference is contingent on the venture type. Male entrepreneurs show higher comparative scores of bridging social capital in aggressive- and managed-growth venture networks, while women entrepreneurs surpass their male counterparts’ bridging capital scores in lifestyle and survival venture networks. Lastly, experienced women entrepreneurs that self-identified as white showed a higher degree of network connectivity and bridging social capital in the entrepreneurial ecosystem than less experienced non-white female entrepreneurs. Implications for entrepreneurship practice and new research paths are discussed.

     

Entrepreneurship Education in a Poverty Context: An Empowerment Perspective

Empowerment is an important but understudied phenomenonExperiential Learning in entrepreneurship education. We integrate literatures on empowerment theory and experiential learning to propose a conceptual model of empowerment‐based entrepreneurship education. The concept of entrepreneurial empowerment is introduced as a cognitive state characterized by meaning, competence, self‐determination, and impact toward entrepreneurial activities. The model proposes that empowerment has a mediating role in the relationship between experiential learning approaches in a poverty context and the acquisition of learning outcomes. The model is illustrated using an entrepreneurship and adversity program that supports local low‐income individuals in starting and growing their ventures.     

A note on a specification test of independence

In a recent paper Zheng (1997a) proposed a new specification test of independence between two random vectors by the kernel method. He showed asymptotic normality under the hypothesis and local alternatives. The present work investigates the asymptotic distribution of the corresponding test statistic under fixed alternatives. In this case asymptotic normality of a standardized statistic is still valid but with a different rate of convergence. Received: January 1999