Childhood adversity and the propensity for entrepreneurship: A quasi-experimental study of the Great Chinese Famine

Studies on the determinants of entrepreneurship emphasize that challenged adults tend to become entrepreneurs. However, research has not addressed the childhood origins surrounding the propensity for entrepreneurship. This article links childhood adversity to the propensity of individuals to become migrant entrepreneurs later in life. We test hypotheses derived from this theory in the context of whether, and when, children who survived the Great Chinese Famine of 1959–1961 became migrant entrepreneurs. Results strongly indicate that those who survived greater hardship during the Famine are more likely to become entrepreneurs, especially when they were younger during the famine years. We also find that being younger at the time of migration increased the likelihood of becoming entrepreneurs in their new locale. Overall, this study casts light on why, how and when childhood adversity shapes the propensity for entrepreneurship.     

On the quest for supply chain transparency through Blockchain: Lessons learned from two serialized data projects

The ability to look into the supply chain has long enticed SCM scholars and practitioners. The possibilities created by such visibility are endless—from risk reduction and continuity planning to inventory management and cost reduction, nothing is off the table when end‐to‐end visibility is a possibility. Because of such enticements, there is usually much buzz in the industry every time a new technology that promises visibility and transparency is brought forward. Yet, years later, stories sometimes emerge that said technologies either failed to deliver or were not everything they were made out to be. Blockchain is yet another emerging technology in this space. Some consultants promise that it will be the final answer to the transparency and visibility woes that companies currently face. Yet, there is little empirical investigation regarding how the technology may benefit adopters, what the bottlenecks may be, and to what extent it may be able to deliver on these promises, without massive system‐wide upgrades of extant hardware and computing prowess. The current study takes a step in this direction by investigating a blockchain‐driven proof of concept across an industry consortium to identify promises, possibilities, and challenges of blockchain.     

Separating microstructure noise from volatility

There are two variance components embedded in the returns constructed using high frequency asset prices: the time-varying variance of the unobservable efficient returns that would prevail in a frictionless economy and the variance of the equally unobservable microstructure noise. Using sample moments of high frequency return data recorded at different frequencies, we provide a simple and robust technique to identify both variance components.     

Applying continuous improvement to teaching in another culture

As international business programs proliferate, the mixing of many cultures in the classroom creates new teaching challenges. This paper reports on how an American accounting professor coped with cultural differences at INSEAD in France. Student evaluations for the first course taught at INSEAD revealed a variety of problems that the professor tried to resolve by applying the principles of continuous improvement in the next course he taught. Confronting the students directly with the problem, enlisting their aid in improving the course, and eliciting specific feedback all combined to substantially raise the level of student satisfaction. The principles applied in this intervention are broadly applicable to college professors, not only those working with “international” students.     

Designs for estimating an extremal point of quadratic regression models in a hyperball

This paper is devoted to studying optimal designs for estimating an extremal point of a multivariate quadratic regression model in the unit hyperball. The problem of estimating an extremal point is reduced to that of estimating certain parameters of a corresponding nonlinear (in parameters) regression model. For this reduced problem truncated locally D-optimal designs are found in an explicit form. The result is a generalization of the results of Fedorov and Müller (1997) for onedimensional quadratic regression function in the unit segment. Received February 2002     

减少汽车业的浪费

汽车制造商和零件供应商可以节省巨大开支，但前提是双方要更为紧密地合作在一起麦肯锡的研究表明，北美汽车业每年在产品开发和组装过程中由于汽车生产商与供应商缺乏良好的计划和协调不当，造成了超过100亿美元的浪费。事实上．这只是较为保守的估算。因为我们的研究仅涵盖了供应商发生的成本，如：附加设计、生产工具最后改型和零件自身的附加成本。这还不包括因设计问题生产商需额外支付的改型费用、生产问题引发的车辆最终成本的增加或质保支出。这几项每年给汽车行业带来的浪费约为120亿美元。     

The Zilcha criterion for dynamic inefficiency

Summary. This paper reexamines the condition (1 + n), which Zilcha (1991) presents as a necessary and sufficient condition for dynamic inefficiency of stationary allocations in overlapping generation models with stochastic production. We show that this condition is necessary but not sufficient for a stationary allocation to be dynamically inefficient by Zilchas definition. We also show that there is a narrow but widely studied class of specifications in which the Zilcha test is both necessary and sufficient for dynamic inefficiency of stationary competitive equilibrium allocations. Outside this class, however, counterexamples can be constructed relatively easily.Received: 30 September 2002, Revised: 13 August 2004, JEL Classification Numbers: D51, D90, E13, E22. Correspondence to: Steven RussellWe thank Jon Burke, Subir Chakrabarti, Itzhak Zilcha and an anonymous referee for helpful conversations and/or comments.     

Aggregation bias, compositional change, and the border effect

Borders affect the composition, not only the level, of interregional trade. In disaggregated U.S. Commodity Flow data, border effects vary substantially across commodities. Substantial border–induced compositional change suggests the possibility that standard estimates suffer from aggregation bias arising from endogenous industry location patterns and the presence of zero observations in commodity–level trade. Adjusting for these effects reduces the estimate of the aggregate border effect from 20.9 to 5.7. JEL Classification: F14, F15
Biais d'agrégation, changement de composition, et effet de frontières. Les frontières affectent la composition et pas seulement le volume de commerce inter-régional. Une analyse des données désagrégées des flux de commerce de biens des Etats-Unis montre que l'effet de frontières varie substantiellement selon les biens. Le changement de composition du commerce engendré par les frontières suggère la possibilité que les estimations usuelles souffrent d'un biais d'agrégation résultant des patterns de localisation industrielle endogènes et de la présence d'observations nulles dans le commerce de certains biens. Un ajustement pour tenir compte de ces effets suggère que les effets de frontières passent de 20.9 à 5.7.