Refining the Conceptualization and Measurement of Women’s Empowerment in Sub-Saharan Africa Using Data from the 2013 Nigerian Demographic and Health Survey

The measurement of women’s empowerment has long eluded academics and practitioners alike. A key challenge relates to the way researchers construct measures of empowerment, pairing indicators together in either composite indices, or multiple dimensions. This study tests three commonly found measurement models of women’s empowerment using data from the 2013 Nigerian Demographic and Health Survey. Model fit statistics indicate that a seven factor first order Functional Scales of Empowerment model best fits the data. Implications following from this study’s findings include that simplification into composite indices, a commonly used method to aggregate indicators of empowerment may lead to erroneous conclusions regarding the effect of empowerment on development and health outcomes and hamper comparative research. The results from this study contribute to the highly important and often ignored discussion regarding measurement of women’s empowerment.     

Tying the Acquirer's Human Resource Management Quality to Cross‐Border Acquisition Divestment Probability: Curvilinear Connection with Slacklining

Cross‐border acquisitions are growing in volume and global economic importance, yet a considerable number end in failure. Many of these failures may be linked to people management‐related issues. We extend this stream of research by investigating the impact of the acquirer's aggregate human resource management (HRM) quality on cross‐border acquisition divestment. Our empirical analysis uses a panel database of 4128 cross‐border acquisition/year observations and an event history design. The findings confirm a curvilinear relationship and suggest that acquisition failures are not merely associated with poor HRM quality, but also with very high levels of HRM quality, that is, with both extremes. Moreover, our results show that financial slack has a significant moderating effect on the curvilinear relationship between HRM quality and the likelihood of acquisition divestment. Overall, our study reveals boundary conditions for the widely demonstrated positive relationship between HRM quality and organizational performance in an acquisition context.     

CFO characteristics and opportunistic accounting choice in public sector organizations

Journal of Management and Governance - Two different theoretical foundations in the literature relate to the quality of financial reporting in public sector organizations: one theoretical...     

Impact of child sexual abuse disclosure on the health of nonoffending parents: A longitudinal perspective

The impact of child sexual abuse (CSA) disclosure on parents’ psychological health has been documented among samples of nonoffending parents. Much less is known about the parents’ physical health. This study assesses the longitudinal impact of CSA disclosure on both the mental and physical health of parents and explores potential gender differences. Interviews with 92 mothers and 32 fathers were completed approximately 12 months and 18 months following disclosure. Generalized as well as mixed model analyses revealed that mothers reported more psychological distress, Posttraumatic Stress Disorder (PTSD) symptoms and activity limitation than fathers. With the exception of PTSD symptoms which showed a significant reduction over time, all other psychological and physical symptoms persisted. The findings highlight the importance of ensuring services for an extended period for the small proportion of parents who display especially high vulnerability.     

Maximin design on non hypercube domains and kernel interpolation

In the paradigm of computer experiments, the choice of an experimental design is an important issue. When no information is available about the black-box function to be approximated, an exploratory design has to be used. In this context, two dispersion criteria are usually considered: the minimax and the maximin ones. In the case of a hypercube domain, a standard strategy consists of taking the maximin design within the class of Latin hypercube designs. However, in a non hypercube context, it does not make sense to use the Latin hypercube strategy. Moreover, whatever the design is, the black-box function is typically approximated thanks to kernel interpolation. Here, we first provide a theoretical justification to the maximin criterion with respect to kernel interpolations. Then, we propose simulated annealing algorithms to determine maximin designs in any bounded connected domain. We prove the convergence of the different schemes. Finally, the methodology is applied on a challenging real example where the black-blox function describes the behaviour of an aircraft engine.     

Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation

The widely used estimator of Berry, Levinsohn, and Pakes (1995) produces estimates of consumer preferences from a discrete‐choice demand model with random coefficients, market‐level demand shocks, and endogenous prices. We derive numerical theory results characterizing the properties of the nested fixed point algorithm used to evaluate the objective function of BLP's estimator. We discuss problems with typical implementations, including cases that can lead to incorrect parameter estimates. As a solution, we recast estimation as a mathematical program with equilibrium constraints, which can be faster and which avoids the numerical issues associated with nested inner loops. The advantages are even more pronounced for forward‐looking demand models where the Bellman equation must also be solved repeatedly. Several Monte Carlo and real‐data experiments support our numerical concerns about the nested fixed point approach and the advantages of constrained optimization. For static BLP, the constrained optimization approach can be as much as ten to forty times faster for large‐dimensional problems with many markets.     

How powerful is demography? The Serendipity Theorem revisited

Introduced by Samuelson (Int Econ Rev 16(3):531–538, 1975), the Serendipity Theorem states that the competitive economy will converge towards the optimum steady-state provided the optimum fertility rate is imposed. This paper aims at exploring whether the Serendipity Theorem still holds in an economy with risky lifetime. We show that, under general conditions, including a perfect annuity market with actuarially fair return, imposing the optimum fertility rate and the optimum survival rate leads the competitive economy to the optimum steady state. That Extended Serendipity Theorem is also shown to hold in economies where old adults work some fraction of the old age, whatever the retirement age is fixed or chosen by the agents.     

Rethinking Vulnerability Analysis and Governance with Emphasis on a Participatory Approach

This article draws on vulnerability analysis as it emerged as a complement to classical risk analysis, and it aims at exploring its ability for nurturing risk and vulnerability governance actions. An analysis of the literature on vulnerability analysis allows us to formulate a three‐fold critique: first, vulnerability analysis has been treated separately in the natural and the technological hazards fields. This separation prevents vulnerability from unleashing the full range of its potential, as it constrains appraisals into artificial categories and thus already closes down the outcomes of the analysis. Second, vulnerability analysis focused on assessment tools that are mainly quantitative, whereas qualitative appraisal is a key to assessing vulnerability in a comprehensive way and to informing policy making. Third, a systematic literature review of case studies reporting on participatory approaches to vulnerability analysis allows us to argue that participation has been important to address the above, but it remains too closed down in its approach and would benefit from embracing a more open, encompassing perspective. Therefore, we suggest rethinking vulnerability analysis as one part of a dynamic process between opening‐up and closing‐down strategies, in order to support a vulnerability governance framework.     

Degree-based goodness-of-fit tests for heterogeneous random graph models: Independent and exchangeable cases

The degrees are a classical and relevant way to study the topology of a network. They can be used to assess the goodness of fit for a given random graph model. In this paper, we introduce goodness-of-fit tests for two classes of models. First, we consider the case of independent graph models such as the heterogeneous Erdös-Rényi model in which the edges have different connection probabilities. Second, we consider a generic model for exchangeable random graphs called the W-graph. The stochastic block model and the expected degree distribution model fall within this framework. We prove the asymptotic normality of the degree mean square under these independent and exchangeable models and derive formal tests. We study the power of the proposed tests and we prove the asymptotic normality under specific sparsity regimes. The tests are illustrated on real networks from social sciences and ecology, and their performances are assessed via a simulation study.     

Impact of soil compaction on soil biodiversity – does it matter in urban context?

Soil invertebrates are poorly studied in an urban context. Here we examine soil compaction in an urban environment, focusing on its persistence and its impact on biodiversity. This is achieved by studying a sensitive taxon, the collembolan (springtails). Soil core samples were taken in different location of a residential neighbourhood under construction, and collembolan species were extracted using a Berlese-Tullgren funnel. Soil compaction was determined by measuring bulk density. We documented soil compaction, ranging from 1 g/cm3 to 1.6 g/cm3. While collembolans are normally affected by compaction, such an effect was not observed in terms of species diversity, which remains relatively constant under all compaction levels. However, compaction was correlated with differences in the structure of collembolan communities. Indeed, we were able to discriminate different levels of compaction using collembolan community data alone. Moreover, this study confirms that compaction decreases with time. However, differences in species community structure can be observed one year after the end of the disturbance. Finally, we provide some insights into the reality of soil compaction in an urban environment, and highlight that the classical biodiversity indices may be insufficient for assessing the impact of an environmental disturbance, and that more detailed analyses at the community level may be very useful, or even indispensable.