Essay in review

Miriam Kochan, Britain's Internees in the Second World War (Macmillan, 1983). Pp.xiii + 182. £17.50.     

The Use of the Observations Method in Courses in Municipal Government

This study of all fifty state, high school social studies curriculum standards found a lack of attention in the vast majority of state standards to the federal budget, federal debt, and budget deficit, topics of significant concern. These concepts are important to teaching about economics in the United States since they lie at the center of contemporary debates about the health of the nation's economy and its long-term viability. Our research discovered broad variation among states in the degree of specificity about teaching these economic concepts. We discuss specific ways in which some of the economic concepts found in state social studies standards might be used to infuse content about federal budget, federal debt, and budget deficit into high school social studies courses, critical topics in light of contemporary debates about the future of American entitlement programs and the federal government.     

‘Talkin’ ‘Bout My Generation’: Political Orientations and Activities of a Cohort of Canadian University Students in the Mid‐Sixties

While Canadian scholars have documented some of the beliefs and behaviours of student activists in the 1960s, little has been said of the ‘average’ Canadian university student. As a result, this article deals with the political orientations and activities of students who entered Glendon College, York University, in 1963 and who graduated by 1967. It will be shown that upon entry to the university this cohort of students was primarily Liberal. Despite fundamental changes that were occurring at a macro‐social level, by and large, the distribution of students’ political orientations was the same in 1967 as it had been in 1963. The virtual absence of collective action with a political objective was consistent with this reality.     

YOUR SECOND LIFE?

This article examines the performativity of intellectual property in digital gaming environments, with a focus on Massively Multi-Player On Line Games (MMOGs). The analysis centers on the creation and management of goodwill, an intangible asset of considerable value to corporations based on affective bonds between consumers, corporations, and their commodities in the marketplace. Most critical analyses of intellectual property consider neither the centrality of goodwill to corporate management of their intellectual properties in digital environments, nor the significance of the legal conditions that structure activity in such contexts. We develop a theoretical framework based on cultures of circulation involving network sociality, circuits of interactivity and the extensibility of the computer/user interface. This enables us to better understand shifting relations of power and reciprocity between corporations and consumers in digital gaming contexts, where the division between player-consumption and player-production is increasingly blurred. Technological capacities for consumers to become producers of gaming content changes the terrain upon which conflicts between corporations and consumers about intellectual property are negotiated and enhances the value of goodwill. An examination of Linden Lab's Second Life – one of the fastest growing MMOGs and the first to affirm players’ intellectual property rights in their digital creations – provides an illustration of both the limits and possibilities afforded by goodwill as a form of emerging governance in game worlds.     

On the Order of Data Reductions by Ancillarity and by Sufficiency

In the context of frequentist inference there are strong arguments in favour of data reduction by both (a) conditioning on the most appropriate ancillary statistic and (b) restricting attention to a minimal sufficient statistic. However, significantly for the study of the foundations of frequentist inference, there are some examples in which the order of application of these data reductions has an important bearing on the statistical inference of interest. This paper presents a new simple example of this kind.     

On cross‐validation of Bayesian models

The authors examine several aspects of cross‐validation for Bayesian models. In particular, they propose a computational scheme which does not require a separate posterior sample for each training sample.     

Gauss–Christoffel quadrature for inverse regression: applications to computer experiments

Sufficient dimension reduction (SDR) provides a framework for reducing the predictor space dimension in statistical regression problems. We consider SDR in the context of dimension reduction for deterministic functions of several variables such as those arising in computer experiments. In this context, SDR can reveal low-dimensional ridge structure in functions. Two algorithms for SDR—sliced inverse regression (SIR) and sliced average variance estimation (SAVE)—approximate matrices of integrals using a sliced mapping of the response. We interpret this sliced approach as a Riemann sum approximation of the particular integrals arising in each algorithm. We employ the well-known tools from numerical analysis—namely, multivariate numerical integration and orthogonal polynomials—to produce new algorithms that improve upon the Riemann sum-based numerical integration in SIR and SAVE. We call the new algorithms Lanczos–Stieltjes inverse regression (LSIR) and Lanczos–Stieltjes average variance estimation (LSAVE) due to their connection with Stieltjes’ method—and Lanczos’ related discretization—for generating a sequence of polynomials that are orthogonal with respect to a given measure. We show that this approach approximates the desired integrals, and we study the behavior of LSIR and LSAVE with two numerical examples. The quadrature-based LSIR and LSAVE eliminate the first-order algebraic convergence rate bottleneck resulting from the Riemann sum approximation, thus enabling high-order numerical approximations of the integrals when appropriate. Moreover, LSIR and LSAVE perform as well as the best-case SIR and SAVE implementations (e.g., adaptive partitioning of the response space) when low-order numerical integration methods (e.g., simple Monte Carlo) are used.

     

Global kernel estimator and test of varying‐coefficient autoregressive model

We propose a varying‐coefficient autoregressive model that contains additive models, varying‐ coefficient models, partially linear models and low‐dimensional interaction models as special cases. A global kernel backfitting method is proposed for the estimation and inference of parameters and unknown functions in this model. Key large‐sample results are established, including estimation consistency, asymptotic normality and the generalized likelihood ratio test for parameters and non‐parametric functions. The proposed methodology is examined by simulation studies and applied to examine the relationship between suicide news reports in the three leading newspapers and the daily number of suicides in Taiwan. The relationship between the media reporting and suicide incidence has been established and explored. The Canadian Journal of Statistics 47: 487–519; 2019 © 2019 Statistical Society of Canada