Counter-intuitive effects of domestic law enforcement policies in the United States

In spite of the increase in domestic law enforcement policies in the U.S. drug related crime has followed a non-monotonic trend and cocaine and heroin prices, instead of increasing, have been dropping or remained stable over time. All this in a context of an increase in these drugs’ consumption during the 1980s and a small decrease during the 1990s. This paper provides an explanation to these counter-intuitive effects of domestic law enforcement policies. We model how drug lords respond to this type of policy within a conflict framework over the control of distribution activities for illegal drugs, which is novel. The model predicts drug distribution activities, drug prices and drug consumption. These predictions appear to be consistent with the empirical evidence in the United States.     

Using choice experiments to assess smallholder farmers' preferences for pig breeding traits in different production systems in North-West Vietnam

Livestock form key components of the livelihood strategies of many of the world's poorest people. However, despite the potential to alleviate poverty and improve food security through livestock development interventions, the lack of smallholders' participation in the planning and design of breeding programs has often been a major cause of the failure of such programs. Particularly in developing countries where livestock production is still mostly subsistence-oriented and livestock fulfil manifold functions a considerable number of livestock breeding programs have failed. The development of adequate tools to characterise these functions, bearing in mind that these are expressed only rarely in properly functioning markets, is therefore important.This paper seeks to advance the application of such methodologies to the smallholder pig sector in Vietnam. A choice experiment was applied across 140 households involved in pig breeding in order to assess farmers' preferences and the trade-offs for a list of adaptive and productive traits. These included growth, reproduction, disease resistance, feed requirements and appearance.The findings indicate that smallholders highly value both adaptive and performance traits, particularly in resource-driven (i.e. subsistence) production systems. Performance traits were more highly valued in the demand-driven (i.e. market-oriented) systems. These findings have implications for breeding program breed choice and breeding objectives.     

Fair welfare maximization

We consider the general problem of finding fair constrained resource allocations. As a criterion for fairness we propose an inequality index, termed “fairness ratio,” the maximization of which produces Lorenz-undominated, Pareto-optimal allocations. The fairness ratio does not depend on the choice of any particular social welfare function, and hence it can be used for an a priori evaluation of any given feasible resource allocation. The fairness ratio for an allocation provides a bound on the discrepancy between this allocation and any other feasible allocation with respect to a large class of social welfare functions. We provide a simple representation of the fairness ratio as well as a general method that can be used to directly determine optimal fair allocations. For general convex environments, we provide a fundamental lower bound for the optimal fairness ratio and show that as the population size increases, the optimal fairness ratio decreases at most logarithmically in what we call the “inhomogeneity” of the problem. Our method yields a unique and “balanced” fair optimum for an important class of problems with linear budget constraints.     

Bundling attractions for rural tourism development

Tourism is often regarded as a viable solution to economic crisis, especially for remote areas without many development options. While many tourism destinations have strong cultural or heritage assets, not all destinations have primary attractions that can bring visitors to the region. Rather than developing special interest “themes”, rural areas that do not have enough of any one type of tourism resource to act as a primary draw may consider bundling different attraction types to increase visitation. The purpose of this study is to investigate the preferences of visitors to secondary heritage sites and explore the relationship between heritage tourism and alternative, non-heritage activities in rural areas. Findings revealed that motivation to visit small-scale heritage sites consisted of two dimensions: learning and recreation. The two motivational dimensions influenced visitors’ interest in different heritage attractions and likelihood of visiting heritage tourism “scenarios”. As for alternative activities, there was a cluster of “popular” activities that were enjoyed by both learning-oriented and recreation-oriented respondents, but recreation-oriented visitors were more interested in nature-based activities and sport-related activities than learning-oriented visitors. Findings can help rural communities improve secondary attractions and diversify their tourism product by bundling heritage attractions with non-heritage activities.     

Talent or Not? Employee Reactions to Talent Identification

In this article, we examine the effect of talent identification on employee attitudes. Building on social exchange theory, we analyze the association between employees' perceptions about whether or not they have been formally identified as “talent” and the following attitudinal outcomes: commitment to increasing performance demands, building skills, and supporting strategic priorities; identification with the unit and the multinational enterprise; and turnover intentions. Our analyses of 769 managers and professionals in nine Nordic multinational corporations reveal a number of differences between employees who perceive that they have been identified as “talent” and those who either perceive that they have not been identified or do not know whether they have been identified. We found only limited differences between the two latter categories.     

Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

Latent variable models (LVMs) offer one route to examine the quality of data collected in surveys. The possibility exists that individuals equivalent in their true level of a construct or variable being measured are unlikely to have equivalent observed responses as a function of an extraneous variable, e.g., group membership. This potential is labeled here as differential item functioning (DIF). Survey methods generally considers measurement bias to be estimators that do no not accurately reflect true values. DIF may be thought of as differential measurement bias, i.e., measurement bias conditional on group membership. As a function of group membership, the degree, amount, or type of measurement bias changes. DIF has the potential to negatively affect the quality of data. LVMs, e.g., confirmatory factor analysis (CFA), offer one tool to assess DIF. However, few published examples exist in the survey research field and training in the interpretation of these models is lacking. The purpose of the current paper is to describe CFA sufficiently for interpretive purposes and demonstrate an empirical application of CFA to assess survey data quality to provide further interpretive guidance. References are provided for analysts wishing to conduct analyses of this type.     

Are there ENSO signals in the macroeconomy?

Whether ENSO has affected U.S. macroeconomic performance has been a matter of dispute. To address the issue we explore whether there has been any co-cyclicality of ENSO fluctuations and the rates of inflation and economic growth over the 1894-1999 timespan and, failing this, whether aperiodic ENSO shocks have had any impact on these variables. Neither co-cyclicality nor aperiodic shocks are discernible. While ENSO may briefly influence the performance of particular sectors of the economy in particular regions, as documented by the previous literature, such locally-important effects vanish into the noise surrounding macroeconomic trends in an economy as large and complex as that of the U.S.