The origins and early diffusion of “shareholder value” in the United States

The shareholder value conception of the firm and its consequences for the functioning of corporations have been studied from a variety of disciplinary and theoretical perspectives. In this article we examine in more detail than has been done sofar the origins and early adoption of this particular conception. By investigating public business sources from the perspective of field theory, we argue that the rise and early diffusion of “shareholder value” are best understood as a function of the changing power relations in the economic field during the first half of the 1980s. The deep economic recession at the end of the 1970s and early 1980s led to a crisis in the prevailing management beliefs, offering newcomers the opportunity to promote alternative business strategies, among which the shareholder value conception became dominant. The sources studied indicate that the spokespersons of the new business conception were initially wealthy outsiders, corporate “raiders,” who used the economic crisis to oppose management and acquire shares in undervalued firms with the threat of restructuring and selling parts of them in the name of shareholders’ interests. Although these hostile take-overs, or threats of take-overs, were widely contested, the Reagan administration blocked regulation and stimulated the take-over market. The rivalry between “raiders” and public pension funds over the profits of these takeovers led to the founding the Council of Institutional Investors (1985), which adopted the shareholder value doctrine inaugurating the organized activism of public pension funds with regard to the management of firms. It was thus in all likelihood the competition and conflict among different groups of shareholders, primarily corporate raiders and pension funds, that triggered the shift in the balance of power between managers and shareholders. Since managers found profitable ways to adapt to the new balance of power, the shareholder value ideology spread rapidly through the economic field, becoming the dominant business model of North American firms in the second half of the 1980s.     

On Childhood and the Logic of Difference: Some Empirical Examples

This article argues that universal documents on children’s rights can provide illustrative examples as to how childhood is identified as a unity using difference as an instrument. Using Gille Deleuze’s theorising on difference and sameness as a framework, the article seeks to relate the children’s rights project with a critique of representation. It seeks to illustrate how the children’s rights project seems to be promoting an image of childhood that is sharply contrasted by adulthood in a dichotomised sense, as well as how, in these documents, the fate of the child is being intertwined with the fate of the state.     

Subjective Well-Being and Social Production Functions

Recent reviews of scientific work on subjective well-being (SWB) reveal disagreements in conceptualization, measurement, and explanation of the concept. We propose Social Production Function theory as a framework to resolve them. Social Production Function (SPF) theory integrates strengths of relevant psychological theories and economic consumer/household production theories, without their limitations (namely, tradeoffs between satisfaction of different needs are not in the first, and goals or needs are not in the second). SPF theory identifies two ultimate goals that all humans seek to optimize (physical well-being and social well-being) and five instrumental goals by which they are achieved (stimulation, comfort, status, behavioural confirmation, affection). The core notion of SPF theory is that people choose and substitute instrumental goals so as to optimize the production of their well-being, subject to constraints in available means of production. SPF theory guides research measurement and explanatory models, and it integrates features of contemporary subjective well-being theories.     

Projection estimators of Pickands dependence functions

The authors consider the construction of intrinsic estimators for the Pickands dependence function of an extreme‐value copula. They show how an arbitrary initial estimator can be modified to satisfy the required shape constraints. Their solution consists in projecting this estimator in the space of Pickands functions, which forms a closed and convex subset of a Hilbert space. As the solution is not explicit, they replace this functional parameter space by a sieve of finite‐dimensional subsets. They establish the asymptotic distribution of the projection estimator and its finite‐dimensional approximations, from which they conclude that the projected estimator is at least as efficient as the initial one.     

Large‐sample tests of extreme‐value dependence for multivariate copulas

Starting from the characterization of extreme‐value copulas based on max‐stability, large‐sample tests of extreme‐value dependence for multivariate copulas are studied. The two key ingredients of the proposed tests are the empirical copula of the data and a multiplier technique for obtaining approximate p‐values for the derived statistics. The asymptotic validity of the multiplier approach is established, and the finite‐sample performance of a large number of candidate test statistics is studied through extensive Monte Carlo experiments for data sets of dimension two to five. In the bivariate case, the rejection rates of the best versions of the tests are compared with those of the test of Ghoudi et al. (1998) recently revisited by Ben Ghorbal et al. (2009). The proposed procedures are illustrated on bivariate financial data and trivariate geological data. The Canadian Journal of Statistics 39: 703–720; 2011. © 2011 Statistical Society of Canada     

Order test for high-dimensional two-sample means

We propose a new method to test the order between two high-dimensional mean curves. The new statistic extends the approach of Follmann (1996) to high-dimensional data by adapting the strategy of Bai and Saranadasa (1996). The proposed procedure is an alternative to the non-negative basis matrix factorization (NBMF) based test of Lee et al. (2008) for the same hypothesis, but it is much easier to implement. We derive the asymptotic mean and variance of the proposed test statistic under the null hypothesis of equal mean curves. Based on theoretical results, we put forward a permutation procedure to approximate the null distribution of the new test statistic. We compare the power of the proposed test with that of the NBMF-based test via simulations. We illustrate the approach by an application to tidal volume traces.     

Competitive victimhood and reconciliation: the case of Turkish–Armenian relations

ABSTRACT

This paper argues that conflicts tend to be intractable if collective victimhood has become a component of national identity, and when conflicting communities claim to be the ‘real’ or ‘only’ victims, and that their suffering justifies crimes past and present. Turkish and Armenian narratives of competitive victimhood are analysed drawing on public opinion polls from Turkey and Armenia, and personal interviews with Turks and Armenians. The study corroborates past theory and research that competitive victimhood prevents reconciliation, particularly if it has become an essential part of national identity. The paper also shows that Turkish–Armenian relations remain at the bottom stage of the reconciliation ladder. Yet, some of our empirical observations suggest that when grass-roots level interaction between Turks and Armenians is facilitated (which has been prevented not least because of the closed border), there is room for the abandonment of competitive victimhood at least on an interpersonal level, if not on a general societal or political level.     

Integrating MRP and finite capacity planning

Traditional production control systems based on the manufacturing resource planning concept do not sufficiently support the planner in solving capacity problems, ignore capacity constraints and assume that lead times are fixed. This leads to problems on the shop floor, that cannot be resolved in the short term. This paper focuses on solving these capacity problems by improving capacity planning at the material requirements planning MRP level through integration of MRP and finite capacity planning. This results in a planning method for simultaneous capacity and material planning. The planning method is based on a new and more accurate primary process model, giving the planning algorithm more flexibility in solving capacity problems. The algorithm is based on advanced scheduling techniques and uses aggregated information, thus combining speed and accuracy. The algorithm is designed to use the available flexibility: alternative routeings, safety stock, and replanning of production orders and requirements. This paper also discusses such related issues as robustness, memory and the role of the human planner.     

Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation

Missing data are often problematic in social network analysis since what is missing may potentially alter the conclusions about what we have observed as tie-variables need to be interpreted in relation to their local neighbourhood and the global structure. Some ad hoc methods for dealing with missing data in social networks have been proposed but here we consider a model-based approach. We discuss various aspects of fitting exponential family random graph (or p-star) models (ERGMs) to networks with missing data and present a Bayesian data augmentation algorithm for the purpose of estimation. This involves drawing from the full conditional posterior distribution of the parameters, something which is made possible by recently developed algorithms. With ERGMs already having complicated interdependencies, it is particularly important to provide inference that adequately describes the uncertainty, something that the Bayesian approach provides. To the extent that we wish to explore the missing parts of the network, the posterior predictive distributions, immediately available at the termination of the algorithm, are at our disposal, which allows us to explore the distribution of what is missing unconditionally on any particular parameter values. Some important features of treating missing data and of the implementation of the algorithm are illustrated using a well-known collaboration network and a variety of missing data scenarios.