Communities in a world of open systems

In the past, communities tended to be closed systems with relatively clear boundaries, stable memberships, and few linkages to other communities. We are now entering into an ‘age of open systems.' Mobility creates new communities and kinds of communities. The impacts of mobility are far less than those of information and communications technology. Cyberspace has become a new kind of social terrain, crowded with ‘virtual communities.' Television and radio create communities of people thinking and talking about the same things. Both mobility and the growth of communications networks reduce the predominance of geography as a force in shaping community. Many communities are much more fluid, and some are placeless. There are many different kinds of social groups and networks that people describe with the word ‘community.' Most people are multi-community individuals, with many memberships, and many kinds of memberships. Although the world's major religions still have some historic identification with specific regions, those geographic attachments are no longer as clear as they once were, and these religions are tending to become open systems. Some people prefer relatively closed social systems, while others flourish in freer environments. Choice is one of the most powerful forces in the lives of people being exposed to the forces of globalization. Community will continue to be a profound human need but will be redefined, perhaps many times over.     

Choosing Winners and Losers in a Classroom Permit Trading Game

This paper presents a classroom game in which students trade pollution permits. By changing the distribution of permits across firms, the game shows students how the allocation of property rights determines the winners and losers in the permit trading system but does not affect the efficiency of the system. This game can be used in a variety of classes, including principles or environmental economics, and can be conducted in a 50-minute class period with follow-up discussion in the next class.     

Tariff-Index Theory*

Tariff indices such as trade-weighted means, variances, and coefficients of variation are commonly used despite their lack of a theoretical foundation. This paper provides a theoretical framework for the index-number problem for tariffs. This paper shows that the Anderson and Neary (1993) trade-restrictiveness index is a function of “marginal trade-weighted moments” of the tariff schedule, higher mean and generalized variance both implying a higher TRI. In the CES case, the TRI is increasing in the trade-weighted mean and in the variance of the tariff schedule. For this special case the mean and the variance are partially legitimized.     

All Guts,No Glory: Trading and Diversification among Online Investors

I explore cross‐sectional portfolio performance in a sample containing 324,736 transactions conducted by 16,831 Swedish investors at an Internet discount brokerage firm during the period May 1999 to March 2002. On average, investors hold undiversified portfolios, show a strong preference for risk, and trade aggressively. I measure performance using a panel data model, and explain the cross‐sectional variation using investors' turnover, portfolio size and degree of diversification. I find that turnover is harmful to performance due to fees, and is therefore more predominant among investors with small portfolios. I argue that the degree of diversification is a proxy for investor skill, and it has a separate and distinct positive effect on performance. Investors underperform the market by about 8.5% per year on average, of which half can be attributed to trading costs.     

Relative Living Standards in New Market Economies: Evidence from Central Asian Household Surveys

We examine household data from the Central Asian successor states to the Soviet Union to analyze how living standards are determined in newly established market economies. Three variables, namely location, children, and university education, are consistently significant across all four countries studied and play the largest role in determining household expenditure. The first two are of special significance to Central Asia, with its relative economic backwardness and high birth rate, but the importance of high-level general-purpose education appears to be a ubiquitous but underappreciated factor. Higher returns to education were expected in a market economy, but few observers distinguish between types of education; in the shift from central planning people with high-level general-purpose education have been best able to take advantage of new opportunities, while narrower technical education, by contrast, has left many with obsolete skills yielding zero returns in the market. J. Comp. Econ., June 2002 30(4), pp. 683–708. Department of Economics, Vanderbilt University, Nashville, Tennessee 37235; and School of Economics, University of Adelaide, Adelaide, South Australia 5005, Australia. © 2002 Association for Comparative Economic Studies. Published by Elsevier Science (USA). All rights reserved.Journal of Economic Literature Classification Numbers: D1, D31, O12, P36.     

Clustering and visualization of earthquake data in a grid environment

We present a web client-server service WEB-IS, which we have developed for remote analysis and visualization of seismic data consisting of both small magnitude events and large earthquakes. We show that the problem-solving environment (PSE) intended for prediction of large magnitude earthquakes can be based on this WEB-IS idea. The clustering schemes, feature generation, feature extraction techniques and rendering algorithms form a computational framework of this environment. On the other hand, easy and fast access both to the seismic data distributed among distant computing resources and to computational and visualization resources can be realized in a GRID framework. We discuss the usefulness of NaradaBrokering (iNtegrated Asynchronous Real-time Adaptive Distributed Architecture) as a middleware, allowing for flexibility and high throughput for remote visualization of geophysical data. The WEB-IS functionality was tested both on synthetic and the actual earthquake catalogs. We consider the application of similar methodology for tsunami alerts.     

Small firms and internationalisation: learning to manage and managing to learn

Small firms contribute significantly to the UK economy, but most research into learning and work features the experience of large organisations. This article focuses on learning and work in small organisations. An interpretive framework relating to organisational learning is derived from the literature. Data on learning in small firms that internationalise are analysed to assess the extent to which models of organisational learning are applicable to the context and challenges they face. The article suggests that the large firm model of learning is inappropriate; the distinctive culture and communication systems of small organisations require different approaches to the acquisition, transmission and interpretation of knowledge. Tacit knowledge, developed through informal learning, is a priority and learning through local business networks is more important than participation in formal programmes. Advocacy of human resource development (HRD) practices based on conventional theories of organisational learning, therefore, may hinder rather than encourage performance in small organisations.     

A minimum chi-squared method for indirect parameter estimation from Poisson data

In this paper, we introduce a new algorithm for estimating non-negative parameters from Poisson observations of a linear transformation of the parameters. The proposed objective function fits both a weighted least squares (WLS) and a minimum χ² estimation framework, and results in a convex optimization problem. Unlike conventional WLS methods, the weights do not need to be estimated from the datas, but are incorporated in the objective function. The iterative algorithm is derived from an alternating projection procedure in which "distance" is determined by the chi-squared test statistic, which is interpreted as a measure of the discrepancy between two distributions. This may be viewed as an alternative to the Kullback-Leibler divergence which corresponds to the maximum likelihood (ML) estimation. The algorithm is similar in form to, and shares many properties with, the expectation maximization algorithm for ML estimation. In particular, we show that every limit point of the algorithm is an estimator, and the sequence of projected (by the linear transformation into the data space) means converge. Despite the similarities, we show that the new estimators are quite distinct from ML estimators, and obtain conditions under which they are identical.