The lucas supply function and the feasibility of monetary stabilization policy with rational expectations

Zusammenfassung Die vorliegende Arbeit untersucht die Effektivität systematischer (d. h. regelgebundener) Geldpolitik in einem makroökonomischen Modell mit einer Lucas-Angebotsfunktion, rationalen Erwartungen und asymmetrischer Information. InMcCallum (1980) wurde dieses Modell anhand der Methode der unbestimmten Koeffizienten gelöst und gezeigt, daß die Notenbank die Varianz des Outputs durch die Wahl des Politikparameters in einer einfachen Geldmengenregel (autoregressiver Prozeß erster Ordnung) beeinflussen kann. Die Auswirkungen von monetären Schocks können dabei zwar gedämpft, aber nicht vollständig eliminiert werden.In der vorliegenden Arbeit wird das Modell anhand der Methode der forward looking solutions gelöst und gezeigt, daß esunendlich viele Geldmengenregeln gibt, welche den Output von Geldangebots- und Güternachfrageschocksperfekt abschirmen. Produktivitätsschocks können hingegen nur kurzfristig neutralisiert werden.

---

---

I am indebted to H. Frisch, Ch. Peutl, and unknown referees for their valuable comments and suggestions.     

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.