A non-parametric approach to smoothing by aggregation over preferences

A distributional dispersion condition on C² monotone preferences, defined by unit normals to indifference surfaces, yields a C⁰ mean demand function when one integrates over such suitably diffuse consumers with convex preferences, regardless of the distribution of their initial endowments. For non-convex preferences, the dispersion condition implies that at any price vector, individual demands are finite sets for almost every agent. A stronger dispersion condition, involving both utility functions and unit normals, yields C⁰ mean demand functions with monotone non-convex preferences.     

Approximate equilibria in microeconomic rational expectations models

For general equilibrium models in which prices transmit information among asymmetrically informed traders, strict rational expectations approximate equilibria are defined. A state-dependent price function is an ε-equilibrium if, when agents use their own information and that conveyed by prices, aggregate excess demand (in each state of the world) does not exceed ε. For any positive ε, existence requires only very mild assumptions—continuity and compact support. Moreover, there are revealing ε-equilibria for all smooth economies satisfying a dimensionality condition. In an open neighborhood of this case, existence of maximally revealing ε-equilibria holds.     

Healthcare burden and reimbursement of hospitalization during chemotherapy for adults with Ph-negative relapsed or refractory B-cell precursor acute lymphoblastic leukemia in France: a retrospective chart review

Objective: Philadelphia chromosome negative [Ph(?)] relapsed or refractory (R/R) B-precursor acute lymphoblastic leukemia (ALL) is an extremely rare condition requiring intensive treatment. This retrospective chart review aimed to quantify hospitalizations and reimbursement in this patient population in France.

Methods: Patients aged ≥18 years and with at least one hospitalization for Ph(?) R/R B-precursor ALL were included in the study. They were relapsed with first remission lasting <12 months, relapsed after first salvage therapy, relapsed any time after hematopoietic stem cell transplant (HSCT), or were refractory to initial or salvage therapy. Data were collected from the index date (first diagnosis of R/R ALL) until death or loss to follow-up. The chemotherapy period was defined as the first chemotherapy date after the index date to the earliest of death, loss to follow-up, last chemotherapy dose plus 30 days, or initiation of HSCT. The primary outcome was the percentage of time hospitalized during the chemotherapy period.

Results: Thirty-three patients were included, with a mean age of 49 years. The mean proportion of time spent in the hospital during the chemotherapy period was 46% (95% CI =34–57%). Patients had a mean of 2.2 (SD =1.5) inpatient hospitalizations and the mean length of stay per hospitalization was 16.8 (SD =14.8) days. During the chemotherapy period, the mean amount reimbursed per hospitalization was €31 067 (SD = €4850) and the total hospitalization reimbursement per patient was €68 344. From the index date to death, excluding HSCT, the total reimbursement per patient was €108 873.

Limitations: The sample size was small, although this was expected given the rarity of the patient population.

Conclusions: Adults with Ph(?) R/R B-precursor ALL had repeated and prolonged hospitalizations during salvage chemotherapy. Approximately half the follow-up period was spent in the hospital, and this time was associated with high economic burden in France.     

Monte Carlo theoretical trials of methods for assessing statistical significance for differences between adjusted odds ratios

Odds are generally defined as the number of successes divided by the number of failures in a given number of trials. An odds ratio is the ratio of one odds divided by another. Odds ratios can be adjusted to reflect associations with the outcome independently of the influence of associations with other variables. These are adjusted odds ratios. There are several well known methods for comparing odds ratios and testing for statistically significant differences between them. Analogous methods for adjusted odds ratios are not well known or well documented. One method for comparing adjusted odds ratios is explained by Hosmer and Lemeshow (Applied logistic regression, 2000). This method is used for the odds ratios for two variables from the same data set. The purpose of this analysis was to apply this method to a different situation: comparing odds ratios for the same variable from two different data sets. Monte Carlo trials were used to assess the performance of the method and these indicated the method performed well.     

The comprehensive business exam: Usefulness for assessing instructional and student performance outcomes

The authors explore the results of the Comprehensive Business Exam (CBE) administered to business majors during their senior-year business capstone course. The study results identified students' SAT and grade point average as a predictor of CBE performance, and variables that explain the correlation between CBE performance, SAT score, and grade point average are discussed. This study expands the research stream by demonstrating how faculty can use CBE information to more deeply assess student learning at both the course and instructor level than is possible with the Major Field Test for Bachelor's Degree in Business.     

Redefining Local Government Roles In Public Services

County officials in the seven-county metropolitan area of the State of Minnesota's Twin Cities of Minneapolis and St Paul were seeking to redefine county roles in service delivery. This article reports on a process model that was piloted on two services. The model was commissioned by officials; was based upon and informed by literature and comparative experience; began with an examination of functions performed; involved participants in focusing the study; was context-focused; and involved local stakeholders in projecting the implications of alternative county roles. These characteristics complicated the research management process because the process took more time, involved more actors, and required more coordination than traditional research. However, having stakeholders identify alternatives and bring factual material to the process was critical to the success of the model and including the comparative and contextual research both strengthened the policy conclusions and improved the probability of their adoption and implementation. A case of a Minnesota county that followed the model in an effort to reform water governance within the county illustrated adoption of the approach. The stakeholder analysis process was previously applied in Africa, China and Southeast Asia and the model should be applicable to a wide range of settings and problems.     

Implementing a Market Orientation in Small Manufacturing Firms: From Cognitive Model to Action

Using in-depth interviews of the CEO/Presidents of 21 small manufacturing firms, this research explored how leaders with a high market-oriented cognitive model have intentionally pursued the implementation of that model and how their activities differed from leaders with a low market-oriented cognitive model. Results indicated that leaders in high market-oriented organizations appeared to be working from cognitive models that reflected market-oriented values, and norms consistent with those suggested by Homburg and Pflesser. Additionally, results indicated strong consistencies across firms in the mechanisms used by leaders to implement their high market-oriented cognitive models and different but equally strong consistencies in the mechanisms used by leaders to implement their low market-oriented cognitive models. Structurally, high market-oriented leaders expressed less departmentalization than low market-oriented firms, used some form of internal customer/supplier networks, had very open communication systems, and established performance management systems designed to initiate and reward market-oriented behaviors among employees.