Toward a Humanist Reconstruction of Economic Science

This paper examines whether governance matters for the economic growth of developing countries, empirically captured within the institutional economics theoretical framework using the panel data estimation procedure. In doing so, it tests the effect of several dimensions of governance on the growth of 84 low and middle-income economies using regression specifications common in the growth literature. The empirical results show that political stability and government effectiveness is significantly positively correlated with growth. Voice and accountability and corruption are statistically significantly negatively correlated with growth. The regulatory quality and rule of law dimensions of governance are negatively but statistically insignificantly correlated with growth. The findings of this study imply that the dynamics of the current modern economy makes it necessary for developing countries to act now and within their own country, improve the dimensions of governance and establish good governance practices that are domestically relevant and internationally comparable and consistent.     

The Moral Imperative and Social Rationality of Government-Guaranteed Employment and Reskilling

Unemployment exacts a high cost to its victims, not only in lost income, but also in terms of quality of life (insecurity, depression, abandoned families, divorce, suicide and poorer health). It also exacts a high cost to society in terms of lost output, foregone tax revenue, depreciating human capital, and increased costs of welfare, crime and health care. Yet modern wealthy societies have, principally for the sake of price stability and to avoid the budget costs of a full remedy, chosen to tolerate a substantial level of permanent unemployment. This article explores the moral conditions of this social choice and its rationality in terms of social welfare. It makes and develops support for two claims: society's tolerance of involuntary unemployment is morally wrong, and it is socially and economically irrational. It concludes that government should guarantee employment by serving as employer of last resort and where appropriate provide for retraining.     

The Bioeconomics of Marine Sanctuaries

Consider an offshore fishing grounds of size K. Suppose the grounds has been overfished to the point that net revenue has been driven to zero and the fishery is in open access equilibrium at (X, Y). A marine sanctuary, where fishing is prohibited, is then created. Suppose the marine sanctuary is of size K₂ and that fishing is allowed on a smaller grounds, now of size K₁, where K₁ + K₂ = K. In the first, deterministic, model, the present value of net revenue from the grounds-sanctuary system is maximized subject to migration (diffusion) of fish from the sanctuary to the grounds. The size of the sanctuary is varied, the system is re-optimized, and the populations levels, harvest, and value of the fishery is compared to the 'no-sanctuary' optimum, and the open access equilibrium. In the deterministic model, a marine sanctuary reduces the present value of the fishery relative to the 'ideal' of optimal management of the original grounds. In the second model net growth is subject to stochastic fluctuation. Simulation demonstrates the ability of a marine sanctuary to reduce the variation in biomass on the fishing grounds. Variance reduction in fishable biomass is examined for different-sized sanctuaries when net growth on the grounds and in the sanctuary fluctuate independently and when they are perfectly correlated. For the stochastic model of this paper, sanctuaries ranging in size from 60 to 40% of the original grounds (0.6 K₂/K 0.4) had the ability to lower variation in fishable biomass compared to the no sanctuary case. For a sanctuary equal to or greater than 70% of the original grounds (K₂ 0.7K), net revenue would be nonpositive and there would be no incentive to fish.     

Self-selection and variations in the laboratory measurement of other-regarding preferences across subject pools: evidence from one college student and two adult samples

We measure the other-regarding behavior in samples from three related populations in the upper Midwest of the United States: college students, non-student adults from the community surrounding the college, and adult trainee truckers in a residential training program. The use of typical experimental economics recruitment procedures made the first two groups substantially self-selected. Because the context reduced the opportunity cost of participating dramatically, 91 % of the adult trainees solicited participated, leaving little scope for self-selection in this sample. We find no differences in the elicited other-regarding preferences between the self-selected adults and the adult trainees, suggesting that selection is unlikely to bias inferences about the prevalence of other-regarding preferences among non-student adult subjects. Our data also reject the more specific hypothesis that approval-seeking subjects are the ones most likely to select into experiments. Finally, we observe a large difference between self-selected college students and self-selected adults: the students appear considerably less pro-social.     

Statistics Research at Bell Labs in the Regulated Monopoly Era

Industrial research in the United States took hold and grew during much of the 20th century. Bell Labs, a corporate component of the Bell System, was perhaps the premier example. The period from 1925, when Bell Labs was formed, to 1984, when the Bell System was broken up following a government antitrust lawsuit, is of special interest because the system operated as a regulated monopoly during that period. Telephone subscribers effectively paid for research and development in their monthly phone bills, which provided an element of financial stability for the labs. Statistics research was one of many types that thrived, much to the benefit of the Bell System, its customers, and the science of statistics. The purpose of this article is to review, explain, and illustrate the circumstances that contributed to this success and to raise the question of how modern corporations, operating in fully competitive environments, might achieve some of the same benefits.     

The business case of a network that serves both public safety and commercial subscribers

Deploying a single nationwide broadband wireless network to serve all public safety users would have great advantages over the existing fragmented public safety systems. A nationwide system could be created to serve both public safety and commercial subscribers, which would allow a provider to exploit important economies but force it to meet the more costly requirements of public safety. This paper analyzes the viability of a public-private partnership that serves public safety and commercial subscribers from a for-profit provider's perspective. A model is presented that estimates the net present value (NPV) of a wireless network by calculating costs based on the number of cell sites required and revenue based on the projected number of subscribers acquired. The model is applied to both a network that serves only commercial subscribers on 10 MHz of 700 MHz spectrum and a public-private partnership that serves commercial subscribers and public safety personnel on 20 MHz of 700 MHz spectrum. It is found that NPV is greater for the public-private partnership than for the commercial-only network for any population density, which shows that the value of 10 MHz of spectrum exceeds the cost of meeting public safety requirements. Furthermore, the paper demonstrates that NPV/cell increases with population density, so urban areas are profitable and rural areas are unprofitable. The paper demonstrates that a partnership covering 94% of the US population breaks even because the most urban 56% of population subsidizes coverage for the next 38%. If initial deployment is subsidized, a financially sustainable public-private partnership can serve much more than 94%. Additionally, it is shown that allowing urban municipalities to opt-out of the partnership can significantly increase the subsidies required.     

Strategic Staffing and Small‐Firm Performance

Although staffing can be a critical determinant of whether small businesses succeed or fail, there has been less research in this area than might be expected, given the large numbers of such firms. While there has been some research on specific recruiting and selection practices, there has been little attention to the strategic aspects of staffing. We investigated relationships between strategic approaches to staffing and small‐firm performance using lagged survey data from 139 founders and owners of small firms. Results indicate that recruiting approaches imitating the practices (processes) of larger businesses are positively related to a perceptual measure of firm performance. Selection approaches stressing a growth orientation are also positively related to firm performance. Finally, founders’ and owners’ perceptions of the strategic importance of human resources moderate the relationship of firm performance with imitative recruiting practices as well as with growth‐oriented selection practices. An important contribution of this article is that contextual knowledge facilitates our understanding of the performance implications of staffing practices in small firms. © 2015 Wiley Periodicals, Inc.     

ROSA,ROSAE, ROSIS: modelling a regional open sectoral innovation system

The literature on territorial innovation modes has identified the development of a diverse set of innovation systems at multiple levels of analysis. However, there are certain gaps that do not allow their adaptation to the particularities of certain territories. Despite the multiple concepts related to innovation systems approach, the state of the art does not yet provide a useful analytical approach for a deep and comprehensive characterization of territories with a high sectoral and technological specialization. This paper introduces an analytical framework based on a regional open and sectoral innovation system, which is qualitatively tested in the Durango County (Spain). The aim of this paper is to introduce a subtype of innovation system that meets the requirements and needs of a located micro-territory with a high level of sectoral specialization.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.