Academic economists behaving badly? A survey on three areas of unethical behavior

This article measures the degree to which academic economists have engaged in unethical behavior and the degree to which academic economists believe the profession as a whole engages in unethical behavior. Three main types of unethical behavior are examined: (1) falsification of research; (2) expropriation of graduate student research or including an undeserving co-author on a research paper; and (3) exchange of grades for gifts, money, or sex. Using a unique data set gathered at the 1998 American Economic Association (AEA) meetings, we find that there is a significant amount of misconduct, particularly in the second category.     

A time-varying measurement error model for age of onset of a psychiatric diagnosis: applied to first depressive episode diagnosed by the Composite International Diagnostic Interview (CIDI)

A substantial degree of uncertainty exists surrounding the reconstruction of events based on memory recall. This form of measurement error affects the performance of structured interviews such as the Composite International Diagnostic Interview (CIDI), an important tool to assess mental health in the community. Measurement error probably explains the discrepancy in estimates between longitudinal studies with repeated assessments (the gold-standard), yielding approximately constant rates of depression, versus cross-sectional studies which often find increasing rates closer in time to the interview. Repeated assessments of current status (or recent history) are more reliable than reconstruction of a person's psychiatric history based on a single interview. In this paper, we demonstrate a method of estimating a time-varying measurement error distribution in the age of onset of an initial depressive episode, as diagnosed by the CIDI, based on an assumption regarding age-specific incidence rates. High-dimensional non-parametric estimation is achieved by the EM-algorithm with smoothing. The method is applied to data from a Norwegian mental health survey in 2000. The measurement error distribution changes dramatically from 1980 to 2000, with increasing variance and greater bias further away in time from the interview. Some influence of the measurement error on already published results is found.     

Measuring What Matters: Achieving Consensus on a Positive Aging Indicator Set For Ireland

The objective of this study was to measure consensus among expert stakeholders on a set of positive aging outcome indicators in Ireland. Stakeholders from academic, public, and voluntary sectors and older people participated in a 3-round, online Delphi study to evaluate indicators for participation, security, healthy aging, attitudes to aging, and information access. Evaluation criteria included: acceptability, utility, accessibility, ranking, and balance and coherence. Consensus was achieved on 56 key indicators that are aligned with action areas in the National Positive Ageing Strategy. These indicators will be reported on a biannual basis to monitor progress in positive aging in Ireland.     

The implementation and the cultural adjustment of functional family therapy in a Dutch psychiatric day-treatment center

Because of the increasing severity of adolescent problem behavior, evidence-based practices are becoming of interest as an alternative to traditional treatment with the behavior problems of adolescents in juvenile justice settings. Despite interest in evidence-based practices, questions exist regarding whether or not evidence-based intervention models can be successfully transported to cultures other than those in which they were developed. This article describes the transportation process of an American evidence-based family therapy (Functional Family Therapy [FFT]) into the service delivery system of a psychiatric day treatment center for juvenile delinquents in Amsterdam. The characteristics of FFT that make it cross-culturally sensitive are discussed. Results from the changes in service delivery suggest FFT can be successfully implemented in international settings with adjustments to make the model fit the culture(s) of The Netherlands without changing the model of FFT itself.     

A Retrospective,Empirical Study of Grief-Related Beliefs in a Veterans Affairs Medical Center

This article reports on the findings of a retrospective, empirical study that explores and describes grief-related beliefs of a convenience sample of 312 persons in a Veterans hospital. These beliefs may facilitate bereaved individuals’ emotional regulation and adaptive responses to loss conceptualized in the dual process model. The study addresses the question: Do gender, employment status, and loss burden contribute to differences in grief-related beliefs? The findings reveal significant gender differences, and also that grief-related beliefs are reality rather than myth-oriented. Study limitations and implications for social work practice in bereavement care and hospice settings are discussed.     

Comparing backpropagation with a genetic algorithm for neural network training

This article shows that the use of a genetic algorithm can provide better results for training a feedforward neural network than the traditional techniques of backpropagation. Using a chaotic time series as an illustration, we directly compare the genetic algorithm and backpropagation for effectiveness, ease-of-use, and efficiency for training neural networks.     

Amenities and the labor earnings function

Desirable locations are, other things equal, expected to be characterized by a mix of higher rents or lower wages. That is, if one area is more attractive than others, inmigration would occur, driving up the demand for land (hence raising rents) and increasing the supply of labor (hence lowering wages). The in-movement will continue until utility is the same across locations in equilibrium. Failing to hold constant amenities in the traditional earnings functions employed by labor economists will result, then, in omitted-variable bias if worker characteristics (years of schooling, union membership, and so on) are correlated with amenities. By way of illustration, our empirical analysis suggests that as much as 50 percent of the apparent return to unionization may be due to the impact of undesirable amenities, resulting in compensating higher wages, in areas of union strength — unionization is being credited with wage gains that properly should be attributed to climate and other (dis)amenities. Similar, though smaller, effects on other coefficients of the earnings function variables are presented.     

Experiments for derived factors with application to hydraulic gear pumps

For experiments on mechanical products composed of several components, such as a hydraulic gear pump, conventional methods of designing and implementing factorial experiments can be impractical because of the prohibitive costs of obtaining certain components with factors set to prespecified values. A further difficulty is that often some of the factors that are believed to influence the product's performance are not features of a single component but are derived as functions of the dimensions of several components arising from the product's assembly. Experiments are proposed which use a sample of measured components to explore the influence of such derived factors. An algorithmic method for obtaining efficient designs is presented and applied to finding plans for studies on the gear pump. An experiment on the pump is described which involved both conventional and derived factors. This experiment led to new knowledge on how to improve the engineering design of the pump and, in particular, on how to improve its robustness to the varying pressures that are experienced in operation.     

Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model

Sensitivity analysis for unmeasured confounding should be reported more often, especially in observational studies. In the standard Cox proportional hazards model, this requires substantial assumptions and can be computationally difficult. The marginal structural Cox proportional hazards model (Cox proportional hazards MSM) with inverse probability weighting has several advantages compared to the standard Cox model, including situations with only one assessment of exposure (point exposure) and time-independent confounders. We describe how simple computations provide sensitivity for unmeasured confounding in a Cox proportional hazards MSM with point exposure. This is achieved by translating the general framework for sensitivity analysis for MSMs by Robins and colleagues to survival time data. Instead of bias-corrected observations, we correct the hazard rate to adjust for a specified amount of unmeasured confounding. As an additional bonus, the Cox proportional hazards MSM is robust against bias from differential loss to follow-up. As an illustration, the Cox proportional hazards MSM was applied in a reanalysis of the association between smoking and depression in a population-based cohort of Norwegian adults. The association was moderately sensitive for unmeasured confounding.