The Social and Economic Underpinning of Paternalism and Violence on the Maize Farms of the South-Western Transvaal, 1900–1950*

Abstract All social systems - including highly repressive ones - manifest features of accommodation as well as those of coercion. These are often seen as discrete entities and, in the case of modern South Africa, the pervasiveness of racial oppression has given rise to a literature which fails to explore more accommodatory ideologies and social practices such as paternalism. In this essay it is argued that paternalism and violence are not necessarily exclusive phenomena. Indeed, it is suggested that the very presence of paternalistic relationships can - at various historic junctures - exacerbate the propensity to violence.     

MANAGING THE ENVIRONMENTAL EXTERNALITIES OF TRAFFIC LOGISTICS: THE ISSUE OF EMISSIONS

Companies are increasingly being held accountable for the life‐cycle impact of their products and services. Transportation is frequently a major component of this life‐cycle impact. Hence, to reduce total environmental impact, logistics managers will have to become more sophisticated in their understanding of how they can reduce the environmental impact of their transportation operations, without negatively affecting the cost or effectiveness of these operations. In line with this mandate, we quantify the dynamic impact of road vehicles on the environment. In most emission models, a constant speed is used depending only on the specific road type. Using such a model will lead to an underestimation of the effective emissions. It turns out that the differences with a more realistic dynamic assessment model are significant. The analysis here suggests that the policy consequences of these differences for both public sector managers and private companies are potentially quite important.     

Religious differentials in infant and child mortality in Holland, 1855–1912

At least three kinds of hypothesis may be invoked to interpret religious differentials in mortality. They are (i) hypotheses that refer to characteristics, (ii) those that refer to lifestyle, and (iii) those that refer to the social isolation of minorities. This paper tests all three kinds of hypothesis using data on urban child mortality from The Hague just before and during the demographic transition. A hazard analysis suggests that economic and demographic characteristics do not account for much of the variation by religion. An analysis of seasonal mortality suggests that some of the variation may be explained by differences in lifestyle. The third kind of hypothesis is presented here for the first time. We suggest that the social isolation of small religious groups lowered their exposure to certain kinds of infectious disease. We use a simulation study to show that this hypothesis could account for part of the variation.     

Beyond control? The mechanics and dynamics of ‘informal’ remittances between Europe and Africa

Abstract Policy making usually assumes that the best way to harness migrant remittances for development is by shifting them into the regulated money transfer sector. However, much research evidence concludes that alternative methods are often cheaper and more reliable, accessible and convenient. In this article, we explore this tension between policy objectives and evidence. Based on a review of remittance mechanisms in seven sub‐Saharan African countries, we question the validity of the distinction between ‘formal’ and ‘informal’ remittances. We conclude that the formalization of remittance systems should not be approached as a regulatory task carried out from the top down, but as a bottom‐up evolutionary and organic process that should be encouraged. We suggest that the current regulatory thrust in this area is likely to be counterproductive, since it risks undermining the many vibrant institutions emerging through the movement of migrants and their money, together with their potential to enhance much needed economic and social development.     

CURRENT STATUS AND RIGHT-CENSORED DATA STRUCTURES WHEN OBSERVING A MARKER AT THE CENSORING TIME

We study nonparametric estimation with two types of data structures. In the first data structure n i.i.d. copies of (C, N(C)) are observed, where N is a finite state counting process jumping at time-variables of interest and C a random monitoring time. In the second data structure n i.i.d. copies of (C ∧ T, I (T ≤ C), N(C ∧ T)) are observed, where N is a counting process with a final jump at time T (e.g., death). This data structure includes observing right-censored data on T and a marker variable at the censoring time.In these data structures, easy to compute estimators, namely (weighted)-pool-adjacent-violator estimators for the marginal distributions of the unobservable time variables, and the Kaplan-Meier estimator for the time T till the final observable event, are available. These estimators ignore seemingly important information in the data. In this paper we prove that, at many continuous data generating distributions the ad hoc estimators yield asymptotically efficient estimators of [Formula: see text]-estimable parameters.     

Estimating the Period of a Cyclic Non‐Homogeneous Poisson Process

Abstract. Motivated by applications of Poisson processes for modelling periodic time‐varying phenomena, we study a semi‐parametric estimator of the period of cyclic intensity function of a non‐homogeneous Poisson process. There are no parametric assumptions on the intensity function which is treated as an infinite dimensional nuisance parameter. We propose a new family of estimators for the period of the intensity function, address the identifiability and consistency issues and present simulations which demonstrate good performance of the proposed estimation procedure in practice. We compare our method to competing methods on synthetic data and apply it to a real data set from a call center.     

Parametric Estimation for Subordinators and Induced OU Processes

Abstract.  Consider a stationary sequence of random variables with infinitely divisible marginal law, characterized by its Lévy density. We analyse the behaviour of a so-called cumulant M-estimator, in case this Lévy density is characterized by a Euclidean (finite dimensional) parameter. Under mild conditions, we prove consistency and asymptotic normality of the estimator. The estimator is considered in the situation where the data are increments of a subordinator as well as the situation where the data consist of a discretely sampled Ornstein–Uhlenbeck (OU) process induced by the subordinator. We illustrate our results for the Gamma-process and the Inverse-Gaussian OU process. For these processes we also explain how the estimator can be computed numerically.