Migration and the “Second Wife” in South China: Toward Cross‐Border Polygyny1

Rapid industrialization in southern China has brought together two types of migrants: young women from towns and villages seeking work and upward mobility and affluent men from Hong Kong sojourning in the coastal provinces to supervise or service export‐oriented industries. The result is that many married Hong Kong men who cross the border regularly on business have taken “second wives” or mistresses in China. We analyze this phenomenon using government statistics, selected court cases, and personal interviews. We show that the emergence of the “second wife” phenomenon among migrants in southern China is consistent with recent studies on the causes of polygyny, and we make some predictions about the likelihood of this type of polygyny among migrants.     

Change and Continuity in Australian International Migration Policy

Almost half Australia's population are an immigrant or the child of an immigrant. This paper traces changes in Australia's immigration policy over the postwar period and relates them to changing global and national developments. While Australian postwar immigration policy changes are similar in many ways to those in other “traditional” migration countries there are a number of distinctive elements. The effectiveness of those policies in achieving government goals is assessed and it is concluded that most objectives of policy have been successfully achieved. Nevertheless there are a number of challenges which Australian policy makers face over the next decade.     

A Multi Sited Approach to Analysis of Destination Immigration Data: An Asian Example

There has been a bias in standard international migration data collection and research toward immigration and destinations while emigration origins have been neglected. This has hampered our ability to provide a substantial empirical base for migration and development policy decision making in origin areas. While improvement of migration data collection in origin countries remains an important priority, this paper argues that much can be learned about emigration from low income countries from immigration data in high income destinations. Migration stock and flow data from Australia are used to provide information on the scale and nature of movement between Asia and Australia. It establishes that there are important but different flows in both directions which belie traditional conceptualisations of south‐north migration and this has significant implications for the effects of migration on economic development.     

Flexible Tweedie regression models for continuous data

Tweedie regression models (TRMs) provide a flexible family of distributions to deal with non-negative right-skewed data and can handle continuous data with probability mass at zero. Estimation and inference of TRMs based on the maximum likelihood (ML) method are challenged by the presence of an infinity sum in the probability function and non-trivial restrictions on the power parameter space. In this paper, we propose two approaches for fitting TRMs, namely quasi-likelihood (QML) and pseudo-likelihood (PML). We discuss their asymptotic properties and perform simulation studies to compare our methods with the ML method. We show that the QML method provides asymptotically efficient estimation for regression parameters. Simulation studies showed that the QML and PML approaches present estimates, standard errors and coverage rates similar to the ML method. Furthermore, the second-moment assumptions required by the QML and PML methods enable us to extend the TRMs to the class of quasi-TRMs in Wedderburn's style. It allows to eliminate the non-trivial restriction on the power parameter space, and thus provides a flexible regression model to deal with continuous data. We provide an R implementation and illustrate the application of TRMs using three data sets.     

Evidence that Two‐Year‐Old Children are Sensitive to Information Presented in Arguments

Preschoolers are more likely to endorse testimony supported by strong arguments than by weak, circular ones. Two‐year‐olds exchange arguments with others, but no experiment has demonstrated that they are sensitive to information presented as argument. In the first phase of this study, 2‐year‐olds were shown ambiguous pictures—for instance a bird–fish hybrid—and asked what they thought the picture represented. An informant then contradicted them, providing either a strong argument, a circular argument, or no argument, and the children were asked what they now thought the hybrid was. The second phase was identical to the first, with new hybrids, except that the informant never provided any argument for her position. Finally, in the third phase, the informant left the room and the children were asked again to tell what the hybrids from the first two phases were. On the whole, there was an effect of the amount of information provided in the argument so that children were more likely to endorse labels provided by the informant who had supported her answer with a strong argument in the first phase. Moreover, they generalized the trust granted to informants who provided strong arguments. These results constitute the first experimental demonstration that 2‐year‐olds possess some argument evaluation skills.     

Psychometric properties of the “parent-child relationship inventory” (PCRI) in a portuguese forensic sample

In Portugal, there is a gap regarding psychological tests validated for forensic contexts, particularly those related to child custody issues. The Parent–Child Relationship Inventory (PCRI) is one of the most used instruments in child custody contexts. This study aimed to analyze the psychometric properties of PCRI in a Portuguese forensic sample. PCRI factorial structure and psychometric properties were analyzed in a sample of 144 parents involved in child custody assessments. The questionnaire showed good internal consistency, except for the parental support, autonomy, and role orientation scales. It also showed good discriminant capacity. The confirmatory factor analysis did not replicate the 7-factor model proposed by Gerard. The results were discussed based on the use of PCRI in the context of child custody assessment.     

Measure for measure: evaluating performance and the arts organisation

This paper discusses the cultural policy and impacts of the application of performance indicators to subsidised arts organisations in Britain. The context of this study is the increased accountability and measurement of the outputs of arts organisations by government funding agencies, and the related drive for improved productivity and efficiency. In an extension of performance measurement regimes in ‘public good’ provision, and the arguments concerning economic importance of the cultural industries, the performing arts occupy an uncomfortable place as a pre-industrial activity being subjected to notions of economic efficiency. This discussion concerns the focus for analysis of the measurements used – the three-Es of economy, efficiency and effectiveness - and the rationale underlying their imposition. The outputs and performance indicators of the major subsidised arts organisations are then presented, based on a ten year time series, revealing declining audiences and production, but increasing ticket prices and expenditure, which arguably undermines the performing arts ‘merit good’ status.     

The Gamma-count distribution in the analysis of experimental underdispersed data

Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heteroscedasticity and is inefficient, providing unrealistic standard errors or possibly negative predictions of the expected number of events. The Poisson regression is the standard model for count data with underlying assumptions on the generating process which may be implausible in many applications. Statisticians have long recognized the limitation of imposing equidispersion under the Poisson regression model. A typical situation is when the conditional variance exceeds the conditional mean, in which case models allowing for overdispersion are routinely used. Less reported is the case of underdispersion with fewer modeling alternatives and assessments available in the literature. One of such alternatives, the Gamma-count model, is adopted here in the analysis of an agronomic experiment designed to investigate the effect of levels of defoliation on different phenological states upon the number of cotton bolls. Data set and code for analysis are available as online supplements. Results show improvements over the Poisson model and the semi-parametric quasi-Poisson model in capturing the observed variability in the data. Estimating rather than assuming the underlying variance process leads to important insights into the process.