Spatial Price Competition: A Semiparametric Approach

We investigate the nature of price competition among firms that produce differentiated products and compete in markets that are limited in extent. We propose an instrumental variables series estimator for the matrix of cross price response coefficients, demonstrate that our estimator is consistent, and derive its asymptotic distribution. Our semiparametric approach allows us to discriminate among models of global competition, in which all products compete with all others, and local competition, in which products compete only with their neighbors. We apply our semiparametric estimator to data from U.S. wholesale gasoline markets and find that, in this market, competition is highly localized.     

New directions in exploring the migration industries: introduction to special issue

ABSTRACT

This Special Issue explores the directions through which we can take research on the migration industries. In this introduction, we review existing research on migration industries to look at how this explores questions on how migration industries foster, assist and constrain migration. In doing so, we argue that these questions have primarily been approached from three different perspectives: structuralist, labour market and mobilities, but these perspectives often speak past rather than to one another. In highlighting how these approaches can work together, the question that the Special Issue explores becomes how do the migration industries function and when/where/how do they intersect with other domains of migration. In highlighting the contributions that each paper in the special issue makes to answering this question, we show how an understanding of the migration industries is not just a research field in itself, but can strengthen our understanding of migration.     

Sexting: adolescents’ perceptions of the applications used for,motives for,and consequences of sexting

This study explores adolescents’ perceptions of applications used for sexting, the motives for engaging in sexting, and the consequences they relate to sexting behavior. We conducted 11 same-sex focus groups among 57 adolescents (66.67% females; n?=?38) between 15 and 18 years old in Flanders, Belgium. The analysis revealed that sexting mostly occurs through smartphone applications, such as Snapchat, which are perceived to be a more intimate form of communication than other digital applications, such as social networking sites. Both female and male respondents observed that girls might sometimes feel pressured to engage in sexting. They did so mostly out of fear that otherwise they would lose their boyfriends. Female and male respondents mentioned three main ways in which sexting photographs could be abused: (1) they could be used to coerce or to blackmail the victim, (2) they could be distributed out of revenge after the breakup of a romantic relationship, or (3) they could be forwarded or shown to peers in order to boast about having received the digital photograph. Anecdotes, which illustrate our findings, are included in the results. Suggestions for future research and implications for practice are discussed.     

Child Well-being in Flanders: A Multidimensional Account

In this article we characterise the well-being of young children in the Belgian region of Flanders. We focus on three commonly used indicators: educational attainment, the existence of special needs and the occurrence of problematic behaviour. The former derives from a relatively impartial source, the schooling system, while the latter two originate from parental assessment. Somewhat surprisingly, the different measures are only weakly associated with each other. Moreover, negative outcomes tend to correlate with different characteristics of the child and the household, depending on the well-being indicator used. Only a low level of education of the mother and the fact the child is living in a single parent family is consistently associated with negative outcomes. This is not true, however, for a whole range of other characteristics, like the work schedule of the parents, the sex of the child, the child’s rank in the line of siblings or the number of children in the household. Consequently, policy makers should be wary of quick conclusions when presented with results from single indicator research. Educational lagging, for example, may seem a very objective measure of problems, yet it does not necessarily coincide with problematic behaviour nor a parental perception of special needs. Hence, political action is not self-evident and may require additional justification. For future research, a more thorough investigation about the links between the various indicators of child well-being seems indicated.

Bain: a program for Bayesian testing of order constrained hypotheses in structural equation models

This paper presents a new statistical method and accompanying software for the evaluation of order constrained hypotheses in structural equation models (SEM). The method is based on a large sample approximation of the Bayes factor using a prior with a data-based correlational structure. An efficient algorithm is written into an R package to ensure fast computation. The package, referred to as Bain, is easy to use for applied researchers. Two classical examples from the SEM literature are used to illustrate the methodology and software.     

Making the Iceberg Visible Again: Service Delivering Experiences as a Lever for NPOs’ Advocacy Under a Third-Party Government Regime

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Under a third-party government regime, NPOs are largely funded to implement social policies and have open lines of...     

Dealing with the wicked issue of child poverty: Inter-organizational networks as forums for collective debate and reflection

In the international realm, inter-organizational networking is perceived as a highly relevant instrument in social policy that enables welfare organizations to deal with “wicked issues.” In this article, we discuss the central empirical findings acquired from a recent qualitative research project that focuses on inter-organizational networks that were formed at the local level to deal with the wicked issue of child poverty as a complex and multidimensional social problem. We explore how the network discussions about normative value orientations in four inter-organizational networks evolve, and identify three central fields of tension that illustrate the complexity for local welfare actors in and across networks to create network strategies in dealing with child poverty: (a) selective versus universal provision, (b) conditional versus unconditional strategies, and (c) instrumental versus lifeworld-oriented approaches. Our findings show that networks can function as valuable forums for collective debate and reflection, since different approaches and perspectives to tackle the problem of child poverty can be confronted with each other. Creating such a forum has the potential to challenge dominant conceptualizations and undesirable assumptions of complex social problems that are present in welfare practices and policies.     

Non-reversible Metropolis-Hastings

The classical Metropolis-Hastings (MH) algorithm can be extended to generate non-reversible Markov chains. This is achieved by means of a modification of the acceptance probability, using the notion of vorticity matrix. The resulting Markov chain is non-reversible. Results from the literature on asymptotic variance, large deviations theory and mixing time are mentioned, and in the case of a large deviations result, adapted, to explain how non-reversible Markov chains have favorable properties in these respects. We provide an application of NRMH in a continuous setting by developing the necessary theory and applying, as first examples, the theory to Gaussian distributions in three and nine dimensions. The empirical autocorrelation and estimated asymptotic variance for NRMH applied to these examples show significant improvement compared to MH with identical stepsize.     

Bayesian tests on components of the compound symmetry covariance matrix

Complex dependency structures are often conditionally modeled, where random effects parameters are used to specify the natural heterogeneity in the population. When interest is focused on the dependency structure, inferences can be made from a complex covariance matrix using a marginal modeling approach. In this marginal modeling framework, testing covariance parameters is not a boundary problem. Bayesian tests on covariance parameter(s) of the compound symmetry structure are proposed assuming multivariate normally distributed observations. Innovative proper prior distributions are introduced for the covariance components such that the positive definiteness of the (compound symmetry) covariance matrix is ensured. Furthermore, it is shown that the proposed priors on the covariance parameters lead to a balanced Bayes factor, in case of testing an inequality constrained hypothesis. As an illustration, the proposed Bayes factor is used for testing (non-)invariant intra-class correlations across different group types (public and Catholic schools), using the 1982 High School and Beyond survey data.     

Holding the Pencil or Buying Paint: Parental Childcare Versus Children’s Need for Extra Income. The Case of Belgium,Denmark and Spain

This article addresses the influence of child characteristics on couples’ decision-making regarding employment and parental childcare. Through simultaneous equation modeling we are able to separate earnings from care motives in this decision-making process. An empirical exercise on Belgian data illustrates how the earnings motive counteracts the care motive and causes a rise in the probability of a full-time job following an increase of the number of children. However, replication on Danish and Spanish data also suggests that a country’s incentive framework provides important limits to couples’ decision-making.