Performance measurement and classification data in DEA: Input-oriented model

This paper presents an improved efficiency measurement tool by modifying the existing data envelopment analysis methodology to permit the incorporation of expert knowledge. A previous paper examined the inclusion of such knowledge within the additive model. This information appeared in the form of a binary classification of a subset of the decision making units under study (e.g. good versus poor performers). In the current paper, we extend this logic to the input-oriented radial projection model. We demonstrate that the inclusion of this and other forms of expert judgment can improve the performance of the DEA tool in the sense that the efficiency scores are more in line with expert/management beliefs.     

Maternal care receptivity--an innovative approach for the evaluation of MCH services

Despite rapid expansion in the maternal and child health and family planning services, there have been few attempts made to study the extent of utilisation of these services and their impact. The present study reports a simple method evolved in the quantification of utilisation of maternal care services (called maternal care receptivity - MCR), the relationship of factors such as age, parity, caste of the women and the distance of the health centre on the MCR and the impact of MCR on perinatal and neonatal mortalities. An inverse relationship was observed between MCR and perinatal and neonatal mortality rates and the two rates were three times less among babies born to mothers with high MCR scores compared to those with poor MCR scores.     

Performance measurement with classification information: an enhanced additive DEA model

This paper presents an improved measurement tool for evaluating performance of branches within a major Canadian bank. While there have been numerous previous studies of performance in the banking industry, particularly at the branch level, this study is different in a very significant way: specifically two kinds of data are used to develop the model. The first type of data is that related to standard transactions, available from any bank; such have formed the basis of numerous previous studies. The second type of data, obtained from the site studied, is classification information, based on branch consultant/expert judgment as to good and poor performance of branches. The purpose herein is to present a modified version of an existing benchmarking model, data envelopment analysis (DEA), and to show how this tool is applied in the banking industry. The mechanism used herein to incorporate expert knowledge within the DEA framework is to first apply a discriminant or classification tool, to quantify the functional relation that best captures the expert's mental model for performance. The outcome of this first phase is an orientation of variables to aid in the definition of inputs and outputs. The resulting orientation then defines the DEA model that makes up the second phase of the model.     

Special education disproportionality in the United States,Germany, Kenya,and India

Disproportionality in special education includes the underrepresentation and overrepresentation of children by gender, economic status, race, ethnicity, language, and culture. This article reviews literature on disproportionality in the United States, Germany, Kenya, and India. Societal views of disability, classism, racism, and inequitable assessment are among the factors that contribute to disproportionality. Preventative medicine, equitable access to resources, ethical and effective assessment procedures, and educational practices that are gender equitable and culturally responsive may reduce the problem of disproportionality.     

Does “buyer beware” work in migration? Contracting between brokers and migrants in Vietnam

This article is an attempt to open the lid a little of the “black box of migration” i.e. brokers. Analysing contracts between brokers and labour migrants, we identify four different forms of exploitation of migrants by brokers: expropriation of skill premium, risk shifting, over‐charging, and non‐refund of deposits. Opportunistic behaviour by brokers, as evidenced by such exploitation, is seen as a market failure that is explained by human attributes and transactional characteristics. Given the rigidities in the human attributes of the contracting parties and the nature of migration as a risky multi‐period transaction, proposals are made for non‐market interventions, which can lead to more equitable contracting.     

Gang Leader for a Day: A Response to the Critics

This essay provides a response to Clampet-Lundquist, Charles, and Young's comments on my book Gang Leader for a Day :     

Estimation of Error and Bias in Bayesian Monte Carlo Decision Analysis Using the Bootstrap

Bayesian Monte Carlo (BMC) decision analysis adopts a sampling procedure to estimate likelihoods and distributions of outcomes, and then uses that information to calculate the expected performance of alternative strategies, the value of information, and the value of including uncertainty. These decision analysis outputs are therefore subject to sample error. The standard error of each estimate and its bias, if any, can be estimated by the bootstrap procedure. The bootstrap operates by resampling (with replacement) from the original BMC sample, and redoing the decision analysis. Repeating this procedure yields a distribution of decision analysis outputs. The bootstrap approach to estimating the effect of sample error upon BMC analysis is illustrated with a simple value-of-information calculation along with an analysis of a proposed control structure for Lake Erie. The examples show that the outputs of BMC decision analysis can have high levels of sample error and bias.     

Bayes estimators of the average failure rates

In the present paper we have proposed a Bayesian approach for making inferences from accelerated life tests which do not require distributional assumptions     

Underground Markets as Fields in Transition: Sex Work in New York City

Most ethnographers visualize their fieldwork study vis‐à‐vis their long‐term commitment to a bounded sociospatial context—an “ecology.” In this manner, the majority of ethnographic studies are presented as studies not only of practices but also of recognizable physical ecologies that breathe life into the practices—for example, homes, ghettos, firms, schools, and so on. In the pages that follow, I consider the ways in which the status of place has shifted in urban sex work. The shifting commerce of sexual services in New York enables me to open up a set of methodological issues about the role of space in ethnographic work. One in particular is at the core of this paper: namely, because so many ethnographic labors begin with the selection of a field site, what conceptual issues arise that fieldworkers must pay attention to vis‐à‐vis that decision? For example, the field site may change, the field site may itself be shaped by wider societal forces, and it may be simply dissolve over time. How does any of this impact a technique that is premised on the dependability of “sitting” so that others may be dependably followed? I draw on the notion of “strategic action fields” to present an alternative analytic framework, one more useful for the challenges ethnographers face.