When Are Local Incentive Constraints Sufficient?

We study the question of whether local incentive constraints are sufficient to imply full incentive compatibility in a variety of mechanism design settings, allowing for probabilistic mechanisms. We give a unified approach that covers both continuous and discrete type spaces. On many common preference domains—including any convex domain of cardinal or ordinal preferences, single‐peaked ordinal preferences, and successive single‐crossing ordinal preferences—local incentive compatibility (suitably defined) implies full incentive compatibility. On domains of cardinal preferences that satisfy a strong nonconvexity condition, local incentive compatibility is not sufficient. Our sufficiency results hold for dominant‐strategy and Bayesian Nash solution concepts, and allow for some interdependence in preferences.     

Ranking Income Distributions by Deprivation Orderings

This paper has examined the problem of ranking income distributions using absolute deprivation ordering. It appears that the ranking of distributions by this ordering may be more unambiguous than that generated by the relative deprivation ordering. The class of average deprivation indices consistent with the absolute deprivation criterion is also identified.     

The Unity Council at 40: a pioneering community development and service organization (1967-2007)

The Spanish Speaking Unity Council (Unity Council) is a community development nonprofit organization that was established in 1964, during the civil rights movement, by a group of community members who wanted to ensure the political representation of the Latino community. Over its 45-year history, the Unity Council has grown into a $12 million community development organization that delivers a range of programming, including social services and employment training as well as facilitating the development and support of local businesses, low-income housing, and neighborhood improvement activities. The history of the agency presents the multiple challenges and rewards associated with development in an underserved community and an example of the important role that leadership plays in the growth of a nonprofit.     

ON THE DESIGN OF HIERARCHICAL PRODUCTION PLANNING SYSTEMS

To provide effective managerial support for decisions related to production planning and scheduling processes, it is useful to partition the set of decisions into a hierarchical framework. In the resulting system, higher level decisions impose constraints on lower level actions, and lower level decisions provide the necessary feed-back to reevaluate higher level actions. The purpose of this paper is to suggest optimum procedures to deal with the resulting subproblems and to analyze the interaction mechanisms among the different hierarchical levels. Computational results are given.     

On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Abstract

Personalized medicine asks if a new treatment will help a particular patient, rather than if it improves the average response in a population. Without a causal model to distinguish these questions, interpretational mistakes arise. These mistakes are seen in an article by Demidenko that recommends the “D-value,” which is the probability that a randomly chosen person from the new-treatment group has a higher value for the outcome than a randomly chosen person from the control-treatment group. The abstract states “The D-value has a clear interpretation as the proportion of patients who get worse after the treatment” with similar assertions appearing later. We show these statements are incorrect because they require assumptions about the potential outcomes which are neither testable in randomized experiments nor plausible in general. The D-value will not equal the proportion of patients who get worse after treatment if (as expected) those outcomes are correlated. Independence of potential outcomes is unrealistic and eliminates any personalized treatment effects; with dependence, the D-value can even imply treatment is better than control even though most patients are harmed by the treatment. Thus, D-values are misleading for personalized medicine. To prevent misunderstandings, we advise incorporating causal models into basic statistics education.     

Direct Management of COVID-19 at National and Subnational Level: The Case of the Western Amazon Countries

Public Organization Review - This paper analyses direct management of COVID-19 in Brazil, Colombia and Peru, the three largest countries in the Western Amazon region. Using information gathered...     

Linking Ethnic Identification to Organisational Solidarity

Public Organization Review - This paper investigates the process through which ethnic identification (EI) influences employees’ sense of organisational solidarity (OS). A survey of 1525...     

Family size,father's education,and children's educational attainment in intact white families

One body of previous research has documented a negative relationship between family size and educational attainment (Blau and Duncan 1967; Sewell et al. 1980; Coleman 1988). Another body of research has argued that because parents are likely to act as potential equalizers of attainment gaps among their children, this relationship is likely to vary depending on the level of parental education (Johnson 1972; Zajonc 1976; Griliches 1979). In an attempt to integrate these two bodies of research, this study examines recent GSS data on white men and women from intact families and aged 25 and over. This research finds support for both arguments. The findings suggest that although there is a direct negative relationship between family size and educational attainment, it varies across levels of father's education. The effect of family size on educational attainment turns positive for men when the father's education is at least high school. For women, it is positive only when the father's education is at least a B.A. Additionally, this relationship holds for men born after 1950 and for women born before 1950. This study rationalizes that changing labor market conditions and cultural pressures to be educated have contributed to such differential impacts of father's education on children's educational attainment across cohorts.