The Contradictions of Free Market Doctrine: Is There a Solution?

The article considers six standard arguments in favour of an unfettered free market: (1) the freedom to consume; (2) the freedom of the seller; (3) the freedom of the producer; (4) freedom from government interference; (5) lower costs; (6) promotion of democracy. It demonstrates that each of these arguments turns out to be incoherent on closer examination. The ground of this incoherence it is shown, is the market doctrine's systematic omission of non-business costs and benefits from its analysis, a methodological blindness which can only be overcome by a wider-lensed comprehension of economic value.     

Econometric Cost Structure Estimates for Cellular Telephony in the United States

This article estimates economies of scale for a sample of five cellular telephony firms in the United States. We reject constant returns to scale for all but the smallest firm studied; the remaining firms exhibit decreasing returns to scale. This finding suggests that scale economies cannot be used to justify the current regulated duopoly structure of United States cellular markets.     

Profit maximization: The ethical mandate of business

The authors propose a model for business ethics which arises directly from business practice. This model is based on a behavioral definition of the economic theory of profit maximization and situates business ethics within opportunity costs. Within that context, they argue that good business and good ethics are synonymous, that ethics is at the heart and center of business, that profits and ethics are intrinsically related.Marist Father Pat Primeaux is a Professor of Theology at Saint John's University, (New York). John Stieber is a Professor of Finance and Economics at Southern Methodist University's Edwin L. Cox School of Business (Dallas). They have collaborated on several articles on the behavioral dimension of economic efficiency. They have also designed and taught courses in business ethics at both the graduate and undergraduate level.     

THE LOCATION OF NONMETROPOLITAN HIGH-TECH INDUSTRIES: A Comparison of Regional Determinants

A study of the location of three classifications of high-tech industries in rural areas was undertaken using ordinary least squares, Tobit, and a two-step estimation procedure suggested by Heckman (1976). The results indicate that the location decision for high tech firms is influenced primarily by the county population, adjacency to an SMSA, and the expenditures on public infrastructure (exclusive of education expenditures). However, location near interstate highways was generally not a significant factor. Results were similar between branch and unit (single ownership) plants. Some differences in signs of orders of magnitude occurred among the estimation procedures. Making a choice between Tobit and Heckman approaches depends upon the goal of the research.     

Diversification Categories in Investment Real Estate

This paper continues previous work evaluating the benefits of diversification and analyzes the various dimensions within the commercial real estate opportunity set. The database is large and extends through the 1982 downturn in property values. Due to the low levels of systematic risk, current distinctions by region and property type make little sense in a world of costly diversification. More exacting categories combining property type, SMSA growth rate and lease maturity offer promise for more efficient diversification within the real estate portfolio.     

The Atkinson Inequality Measure and its Sampling Properties: Bayesian and Classical Approaches

This paper examines several Bayesian methods of obtaining posterior probability density functions of the Atkinson inequality measure and its associated social welfare function, in the context of grouped income distribution data. The methods are compared with asymptotic standard errors. The role of the number of income classes is investigated using a simulated distribution. If only a small number of groups is available in published data, there is a clear gain from generating the posterior probability density function when using an explicit income distribution assumption. Even with a small number of groups, the Bayesian approach gives results that are close to the sample values obtained using the corresponding individual observations.