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.     

Entrenchment in publicly traded family firms: Evidence from the S&P 500

Family involvement in corporate governance through ownership, management, and board membership presents a unique dilemma for understanding the strategic impetus and costs of entrenchment decisions. The presence of shared family ties and the family-centered goals of firm principals call to question the applicability of extant agency arguments regarding the nature and antecedents of managerial entrenchment. Exploring this, we develop and test a model of family firm-specific determinants (i.e., family ownership and family's involvement in management and governance) of entrenchment in publicly traded firms by drawing upon principal-principal agency theory. Findings of the empirical analysis of family owned S&P 500 firms suggest family firms are motivated to entrench managers when doing so supports the pursuit of family-centric goals. However, the extent to which entrenchment supports such goals varies at different levels of family ownership.     

“He invited me and didn't ask anything in return” Migration and Mobility as Vulnerabilities for Sexual Exploitation among Female Adolescents in Mexico

Although human trafficking is recognized as a major human rights violation, there is limited evidence regarding the vulnerabilities that contribute to female adolescents’ risk of being forced or coerced into the sex trade. Vulnerabilities such as gender‐based violence, economic and social inequalities have been shown to shape the risk of sexual exploitation among adolescents. In‐depth interviews (n=18) with current sex workers who reported being deceived or forced into the sex trade as adolescents (<17 years old) were analysed to explore their experiences of migration and mobility in Mexico. Driven by socio‐economic and vulnerabilities in home communities, adolescents often engaged in internal migration and mobility to other Mexican communities and states. Migration and mobility further predisposed them to social isolation, economic hardship and abuse, which were used as tools to trick them into the sex trade. Policies that support safer migration for adolescents in origin, transit, and destination communities are needed.     

Best Practice in Temporary Labour Migration for Development: A Perspective from Asia and the Pacific

The dominant mode of international migration in Asia and the Pacific is temporary contract migration of low‐skilled workers. The potential for such migration to deliver significant development dividends to origin communities is substantial because of its large scale and the fact that most migrant workers return to their home community. However, there are a number of barriers that are intervening to dampen these potential positive effects, such as high transaction costs, high costs of sending remittances, and the fact that some areas of origin lack the infrastructure and potential for productive investment. Moreover, destination countries have been very welcoming of high skill temporary migrants but highly restrictive in their attitudes toward their low skill counterparts. This paper discusses the lessons of best practice in temporary labour migration programmes in the region, which can help to overcome these obstacles reducing the positive development impacts of migration. It assesses, in turn, best practice separately for each stage of the labour migration process ‐‐ recruitment and selection, and pre‐departure preparation ‐‐ at the destination and on return. In conclusion, a number of the barriers which impinge on Asian Pacific countries’ ability to introduce and sustain best practice are discussed. These include the need for capacity building, lack of cooperation between origin and destination countries, lack of data, poor governance of labour migration a failure among governments to recognise the significance of migration and the need for more “development friendly” migration policies in destinations.     

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.     

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.     

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.     

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.