Measuring the Impact of Socio-Economic Factors on School Efficiency in Australia

This paper examines the productive efficiency of government schools in New South Wales (NSW) in Australia. The study uses a technical inefficiency effects model applied to a unique three-year panel dataset containing 1235 primary and 371 secondary schools in NSW. A stochastic frontier production function and an inefficiency effects function that control for school socioeconomic and environmental factors are estimated. The dataset contains information on various school inputs, school expenditures by major functional area, parental socioeconomic characteristics, student characteristics, and standardized test scores. We examine the degree to which school and non-school educational inputs influence student achievement scores and find that, overall, primary schools are 88.6% and secondary schools 96.4% efficient. The index describing community socio-educational advantage has the most significant influence on students’ achievement scores.     

Analysis of marginally specified semi-nonparametric models for clustered binary data

Generalized linear mixed models are widely used for analyzing clustered data. If the primary interest is in regression parameters, one can proceed alternatively, through the marginal mean model approach. In the present study, a joint model consisting of a marginal mean model and a cluster-specific conditional mean model is considered. This model is useful when both time-independent and time-dependent covariates are available. Furthermore our model is semi-parametric, as we assume a flexible, smooth semi-nonparametric density of the cluster-specific effects. This semi-nonparametric density-based approach outperforms the approach based on normality assumption with respect to some important features of 'between-cluster variation'. We employ a full likelihood-based approach and apply the Monte Carlo EM algorithm to analyze the model. A simulation study is carried out to demonstrate the consistency of the approach. Finally, we apply this to a study of long-term illness data.     

Selection of influential variables in ordinal data with preponderance of zeros

Presence of excess zero in ordinal data is pervasive in areas like medical and social sciences. Unfortunately, analysis of such kind of data has so far hardly been looked into, perhaps for the reason that the underlying model that fits such data, is not a generalized linear model. Obviously some methodological developments and intensive computations are required. The current investigation is concerned with the selection of variables in such models. In many occasions where the number of predictors is quite large and some of them are not useful, the maximum likelihood approach is not the automatic choice. As, apart from the messy calculations involved, this approach fails to provide efficient estimates of the underlying parameters. The proposed penalized approach includes ?₁ penalty (LASSO) and the mixture of ?₁ and ?₂ penalties (elastic net). We propose a coordinate descent algorithm to fit a wide class of ordinal regression models and select useful variables appearing in both the ordinal regression and the logistic regression based mixing component. A rigorous discussion on the selection of predictors has been made through a simulation study. The proposed method is illustrated by analyzing the severity of driver injury from Michigan upper peninsula road accidents.     

Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach

This paper uses both the stochastic and nonstochastic production function approach to measure technical efficiency in public education in Utah. The stochastic specification estimates technical efficiency assuming half normal and exponential distributions. The nonstochastic specification uses two-stage data envelopment analysis (DEA) to separate the effects of fixed inputs on the measure of technical efficiency. The empirical analysis shows substantial variation in efficiency among school districts. Although these measures are insensitive to the specific distributional assumptions about the one-sided component of the error term in the stochastic specification, they are sensitive to the treatment of fixed socioeconomic inputs in the two-stage DEA.     

On preferences with infinitely many subjective states

Models with subjective state spaces have been extremely useful in capturing novel psychological phenomena that consist of both a preference for flexibility and for commitment. Interpreting the utility representations of preferences as capturing these phenomena requires one to use the notion of a sign of a state. For linear preferences, we completely characterise the sign of a state in terms of its analytic representation as an integral with respect to a signed measure. In models with finitely many states, a state is either positive or negative, but never both. We show that in models with infinitely many states, a state can be both positive and negative. Thus, models with finitely many states may not capture all the behavioural features of an infinite model. Our methods are also useful in constructing utility functionals over menus with desired local properties.     

Bargaining and Search with Incomplete Information about Outside Options

This paper considers a model of bargaining in which the seller makes offers and the buyer can search (at a cost) for an outside option; the outside option cannot be credibly communicated, and the seller's offer is recallable by the buyer for one period. There are essentially two equilibrium regimes. For sufficiently high search cost, the game ends immediately; otherwise the search occurs in equilibrium. Compared to the case where the buyer can communicate his outside option, the seller is worse off, and the game results in search for a smaller set of values of the search cost, i.e., less equilibrium delay.C72.     

Recreating heritage in the southwest of Scotland

This paper studies the role of heritage tourism in the creation of uniform identity. The recently developed heritage tourism products in the southwest of Scotland are encouraging the promotion of the dominant heritage of Scotland, largely marginalising the regional one. This paper examines the cases of the heritage of Robert the Bruce that stresses Scotland's militaristic tradition, the eventful organisation of the Border Gathering which showcases Highland culture and the marginalisation of the Covenanting heritage of the region. The data are gathered through a questionnaire survey, in-depth interview, non-participant observation, archival records and other secondary sources. It shows how tourism is gearing towards recreating and establishing heritage which is largely new to the region. The paper argues that the promotion of dominant heritage is meaningfully directed towards forming a uniform and homogenous identity. The introduction of the dominant heritage in the region is important because it encourages commonality within Scotland, which plays an enormous part in advancing Scottish nationalism. This study helps us understand how tourism can be a medium to advance a nationalistic message.     

Service levels for priority and nonpriority products with a common component

This paper refers to an article by Baker, recently published in the Journal of Operations Management. We point out an error, and provide correction, in the calculation of service level for a non priority product when a priority product and the nonpriority product share a common component.