A comparative analysis of some correlates of intra-spouse age disparity: a status determinant

Age differences between spouses in India are analyzed. The data concern 144 farm families in isolated villages and 149 families in less isolated villages in the Coimbatore district of Tamil Nadu. The results show greater age differences between spouses in the more isolated villages. Reasons for this age gap are considered.     

Beyond property or beyond Piketty?

Capital and Ideology represents a significant further statement from Thomas Piketty. The arguments made by the “New Piketty” are largely compatible with those of his previous Capital in the Twenty‐First Century, but reflect broadening of scope and deepening of causal analysis, most markedly through the adoption of a world historical perspective. The result is a fuller offering for understanding inequality's pattern in the world, why it exists and how we can best respond to it. The book presents a wide range of arguments, which do not on first glance appear unified. This review essay distills these into six propositions, describes and evaluates each in turn, and identifies some threads that link them. In the process, it provides a critical assessment of Capital and Ideology.     

Supplier Rationalization: A Sourcing Decision Model

We draw on extant literature on strategic sourcing and supply base rationalization to anchor our argument that measuring supplier performance diversity is germane to executing an effective supply base rationalization strategy. We explicate how a novel approach to data envelopment analysis (DEA) efficiency assessment can be utilized to measure this performance diversity. More specifically, our methods are anchored in cross efficiency analysis in DEA that allows for evaluating the efficiency of a supplier with respect to the optimal weights (strengths) of its peers. This methodology is applied to an actual supplier dataset of a large multinational telecommunications company in categorizing their supply base into groups for effective supplier rationalization. We conclude that measuring and analyzing the performance diversity within the framework of DEA provides a mechanism for firms to better balance a rationalized and diversified supply base with unique skills.     

Flexibility or Cost Saving? Sourcing Decisions with Two Suppliers

This article studies a decentralized supply chain in which there are two suppliers and a single buyer. One supplier offers the quantity flexibility (QF) contract to the buyer, while the other offers the cheaper price. Under the QF contract, the buyer does not assume full responsibility for the forecast, yet the supplier guarantees the availability of the forecasted quantity with additional buffer inventory. On the other hand, the price‐only contract places full inventory burden on the buyer, but with a cheaper price. We study this problem from the buyer's perspective and solve for the buyer's optimal procurement and forecasting decisions. We identify areas where flexibility and cheaper price have an advantage, one over the other. Our results indicate that the buyer significantly benefits from having multiple sources of supply. We also find that, from the system's standpoint, a multisupplier system may outperform a single‐supplier supply chain under certain conditions. Interestingly, we observe that providing too much flexibility may benefit the low‐price supplier rather than benefiting the QF supplier. We discuss the managerial implications and provide directions for future research opportunities.     

Quantity Flexibility Contract in the Presence of Discount Incentive

We design a new contract, which we refer to as the QFi contract, that combines the quantity flexibility (QF) mechanism and the price‐only discount incentive. Under the QF contract, the buyer does not assume full responsibility for the forecast, yet the supplier guarantees the availability of the forecasted quantity and extra buffer inventory. In contrast, the price‐only discount contract places full inventory burden on the buyer. We show that the proposed QFi contract effectively balances the inventory risk for both the buyer and the supplier considering both the QF and discount mechanisms. We also show that the QFi contract is able to achieve supply chain coordination. More importantly, the QFi contract's coordinating price scheme does not require knowledge of demand distribution. We identify areas where the buyer and supplier may both benefit from implementing the QFi contract as opposed to the extant QF or price‐only (wholesale) discount contractual decisions in a decentralized supply chain. We also specify the conditions under which supply chain coordination can be achieved in a win‐win manner. We conclude with managerial implications and provide directions for future research.     

South African Men Who Have Sex With Both Men and Women and How They Differ From Men Who Have Sex With Men Exclusively

The label “men who have sex with men” (MSM) is used to categorize a diverse population exclusively on the basis of its sexual behavior. Understanding the diversity that this label comprises is critical for the development of health interventions that effectively reach the various populations subsumed under this label. In this cross-sectional study of South African MSM (N = 480) recruited through respondent-driven sampling (RDS), we explored differences between men who had sex with both men and women (MSMW) and men who had sex with men exclusively (MSME). We found significant differences between these two groups in terms of sexual attraction, sexual identity, sexual preferences, sexual histories, and current sexual practices. MSMW were more likely to be confused about their same-sex attraction, to experience internalized homophobia, and to have paid for sex in the previous year, while MSME were more gender nonconforming and more likely to have been forced to have sex in the previous year. These findings underscore that the MSM label comprises a diverse population and that exclusive sexual engagement with other men is a critical distinction to take into account in understanding this diversity and fully grasping the lived experiences of men who have sex with men.     

Characterizing the Performance of the Conway‐Maxwell Poisson Generalized Linear Model

Count data are pervasive in many areas of risk analysis; deaths, adverse health outcomes, infrastructure system failures, and traffic accidents are all recorded as count events, for example. Risk analysts often wish to estimate the probability distribution for the number of discrete events as part of doing a risk assessment. Traditional count data regression models of the type often used in risk assessment for this problem suffer from limitations due to the assumed variance structure. A more flexible model based on the Conway‐Maxwell Poisson (COM‐Poisson) distribution was recently proposed, a model that has the potential to overcome the limitations of the traditional model. However, the statistical performance of this new model has not yet been fully characterized. This article assesses the performance of a maximum likelihood estimation method for fitting the COM‐Poisson generalized linear model (GLM). The objectives of this article are to (1) characterize the parameter estimation accuracy of the MLE implementation of the COM‐Poisson GLM, and (2) estimate the prediction accuracy of the COM‐Poisson GLM using simulated data sets. The results of the study indicate that the COM‐Poisson GLM is flexible enough to model under‐, equi‐, and overdispersed data sets with different sample mean values. The results also show that the COM‐Poisson GLM yields accurate parameter estimates. The COM‐Poisson GLM provides a promising and flexible approach for performing count data regression.     

Better alternatives to current methods of scaling and weighting data for cluster analysis

Scaling of multivariate data prior to cluster analysis is important as a preprocessing step. Currently there are methods for doing this. This paper proposes some alternatives, which are particularly directed at helping reveal cluster structures in data. These methods are applied to simulated and real data sets and their performances are compared to some currently used methods. The results indicate that, in many situations, the new methods are much better than the most popular method, called autoscaling. In the most challenging clustering example considered, their performances, while poor, are no worse than all the currently used methods.     

Child labour: A hidden form of child abuse

There is a widespread but hidden area of child abuse: child labour. One-fifth of the world's population is linked with child labour; yet it receives very little or no attention throughout the world. Where is our sense of urgency? Poverty is the repeatedly cited reason for child labour. This is an oversimplification. The origins of the problem are multi-faceted. involving such variables of development as culture, human rights, economy, population, indigenous people and environment. It is the existing paradigm of development, determined by the elite, which is responsible for the problem of child labour. Obviously, the shift from the ‘need’-based economy to the ‘want’-based economy has taken a heavy toll of children the world over. We need to forge partnerships of different groups across the world, especially in light of the increasing integration of countries across the globe and because child labour is re-emerging and assuming wide proportions in the developed countries. As we tread the path to a new paradigm of development, we must remember to walk in step with the children. For we have a lot to learn from them, and tomorrow is their concern, as it is their future.