The Crowding-out Effect of Homeownership on Fertility

Mulder (Demogr Res 15:401–412, 2006) argues that homeownership has influences on a household’s fertility decision; however, literatures have concluded different findings regarding whether homeownership promotes or delays a family’s reproduction behavior. In this study, we construct the regional-based panel data comprising 23 counties and cities from 1994 to 2007 in Taiwan to investigate how and to what extent homeownership will affect fertility. Our empirical results show that the private homeownership rate is negatively related to the birthrate in Taiwan. It indicates that, under limited budget resources available in each household, the homeownership and reproduction decisions seem to compete and crowd out each other; however, from the results of the lagged models, the crowding-out effect diminishes as time goes by.     

Effect of regulatory modes on work performance: the moderating role of job familiarity and job complexity / El efecto del modo de regulación en el rendimiento laboral: el rol moderador de la familiaridad con el trabajo y la complejidad de la tarea

Prior research has shown that the combination of assessment and locomotion regulatory modes leads to the best performance-related outcomes. The aim of the current study was to analyse how familiarity and complexity moderate this relationship between the two regulatory modes and job performance. Participants’ locomotion and assessment tendencies were measured, and they were asked to rate the familiarity and complexity of their daily work tasks, as well as their job performance over the last year. Results showed that when job tasks were unfamiliar and more complex, high locomotion and high assessment were both needed for optimal performance. However, when both familiarity and job complexity were low, high locomotion alone led to the best performance. A similar result was obtained when task familiarity was high: regardless of task complexity, the best performance was shown by employees high in locomotion, no matter the assessment. In conclusion, the present study furnishes useful suggestions for employers who wish to maximize employees’ performance.     

Tablet assessment of word comprehension reveals coarse word representations in 18–⁠20-month-old toddlers

The present study explores the viability of using tablets in assessing early word comprehension by means of a two-alternative forced-choice task. Forty-nine 18–20-month-old Norwegian toddlers performed a touch-based word recognition task, in which they were prompted to identify the labeled target out of two displayed items on a touchscreen tablet. In each trial, the distractor item was either semantically related (e.g., dog–cat) or unrelated (e.g., dog–airplane) to the target. Our results show that toddlers as young as 18 months can engage meaningfully with a tablet-based assessment, with minimal verbal instruction and child–administrator interaction. Toddlers performed better in the semantically unrelated condition than in the related condition, suggesting that their word representations are still semantically coarse at this age. Furthermore, parental reports of comprehension, using the Norwegian version of the MacArthur–Bates Communicative Development Inventories, predicted toddlers’ performance, with parent–child agreement stronger in the semantically unrelated condition, indicating that parents declare a word to be known by their child if it is understood at a coarse representational level. This study provides among the earliest evidence that remote data collection in 18-20 month-old toddlers is viable, as comparable results were observed from both in-laboratory and online administration of the touchscreen recognition task.     

Histogram estimation of radon-nikodym derivatives for strong mixing data

Nonparametric inference for point processes is discussed by way of histograms, which provide a nice tool for the analysis of on-line data. The construction of histograms depends on a sequence of partitions, which we take tc be nonenibedded to allow partitions with sets of equal measure. This presents some theoretical problems, which are addressed with an assumption on the decomposition of second order moments. In another direction, we drop the usual independence assumption on the sample, replacing it by a strong mixing assumption. Under this setting, we study the convergence of the histogram in probability, which depends on approximation conditions between the distributions of random pairs and the product of their marginal distributions, and^almost completely, which is based on the decomposition of the second order moments. This last convergence is stated on two versions according to the assumption of Laplace transforms or the Cramer moment conditions. These are somewhat stronger, but enable us to recover the usual condition on the decrease rate of sets on each partition. In the final section we prove that the finite dimensional distributions converge in distribution to a Gaussian centered vector with a specified covariance.     

Strategien des Konfliktmanagements

Strategies of conflict management. Coaching, supervision and organisational development in comparisonHow do different kinds of professional consultants engage in conflict management and what do they concentrate on most in their consulting work? This article explores and compares the approaches of professional coaches, supervisors and organisational consultants, focussing on the central differences and commonalities of the consulting approaches that emerge from three case studies of conflict resolution. Whereas coaching, relying on the idea that conflicts in a business are best addressed by leaders and a top-down strategy, trains executives in conflict resolution, supervision and organisational consulting emphasize a participatory model that involves all the affected parties in conflict resolution. The author considers the various consequences these approaches have for those seeking help, as well as the substantive and methodological differences become evident in the course of consulting sessions.     

Competing risks quantile regression at work: in-depth exploration of the role of public child support for the duration of maternity leave

Despite its emergence as a frequently used method for the empirical analysis of multivariate data, quantile regression is yet to become a mainstream tool for the analysis of duration data. We present a pioneering empirical study on the grounds of a competing risks quantile regression model. We use large-scale maternity duration data with multiple competing risks derived from German linked social security records to analyse how public policies are related to the length of economic inactivity of young mothers after giving birth. Our results show that the model delivers detailed insights into the distribution of transitions out of maternity leave. It is found that cumulative incidences implied by the quantile regression model differ from those implied by a proportional hazards model. To foster the use of the model, we make an R-package (cmprskQR) available.     

Methods for Studying the Structure of Social Representations: A Critical Review and Agenda for Future Research

This article deals with the methodologies commonly used in the framework of the structural approach to social representations. It concerns free and hierarchical evocations, the characterization questionnaire, the similarity analysis, the basic cognitive schemes model, the attribute‐challenge technique and the test of context independence. More than a simple review of these methodologies, it offers a critical approach concerning the problems encountered and related to: thresholds or “cutoff points” used to diagnose the structure (core vs. periphery) and the accuracy of the structural diagnosis, grouping methods employed to reduce the corpus of verbal associations, the dilemma between reliability and feasibility, especially in field research, the adequacy and number of modalities of response in the framework of the structural diagnosis. Following this evaluation, this article suggests potential solutions to overcome these methodological limitations. Moreover, as methodological issues are closely related to theoretical questions, the link between social representation theory and identity approaches is discussed.     

Racial Disparities in Welfare Dependence and Financial Independence: Links to Human Capital,Local Economy,and State Temporary Assistance for Needy Families Policies

This secondary data analysis examined racial disparities in associations betwen welfare dependence/financial independence and human capital, local economy, and state TANF policies. A sample of 6,737 parents was extracted from the public-use data set titled “National Longitudinal Survey of Youth.” Results showed that restrictive TANF policies reduced African Americans’ likelihood of welfare use and increased likelihood of their financial independence. Multinomial logistic results also showed that, among Hispanics, employment growth in neighboring counties promoted welfare use; whereas among Caucasians such growth promoted financial independence. County poverty increased (a) Caucasians’ likelihood of welfare use and (b) Hispanics’ likelihood of being working poor; it decreased Caucasians’ and African Americans’ likelihood of financial independence. Across ethnic groups, education reduced likelihood of welfare use and working poor status; across minority groups, education increased likelihood of financial independence, but among Caucasians it decreased such likelihood. Across ethnic groups, occupational skills hindered dependence and improved odds of employment (regardless of welfare or poverty status). This study concluded the studied TANF policies and job markets were not color-blind. Interventions this study implies include less-restrictive TANF policies, generous support services, TANF staff cultural-competence training, and antidiscrimination rules. Research investigating particular TANF policies’ and services’ effects by ethnicity might prove useful.