A note on the balancing factors of gravity models

Application of the production constrained gravity-type spatial interaction model generally incorporates a “balancing of attractions” procedure to yield the fully constrained condition. Two techniques for balancing a singly constrained gravity model are compared in this note. These are the Federal Highways Administration adjusted attraction factor method and the Furness column and row balancing procedure. This comparison shows firstly that the two techniques are identical, and secondly that the balancing procedure results in an arbitrary distortion of the calibrated distribution function. Furthermore, some empirical results show that the balancing procedure does not necessarily improve the model's predictions on a cell by cell basis. These results indicate that balancing may be an unnecessary as well as undesirable step in the application of the singly constrained gravity model.     

Evaluating Adaptive Policymaking using expert opinions

Adaptive Policymaking (APM) is a policymaking approach for dealing involving policy problems with deep uncertainty. Two barriers to getting APM used are that (1) there are few actual examples of adaptive policies developed by policymakers or domain experts, and (2) APM has rarely been used in a real-world policy setting. More specifically, there are questions that remain about the costs and benefits of APM, and the efficacy and performance of adaptive policies compared to traditional static policies. This paper addresses these questions and barriers by reporting on a workshop with experts that was aimed at developing an adaptive policy for the implementation of ISA in the Netherlands. We report on their evaluation of both the process of developing the policy and their assessment of the efficacy of the developed policy compared to that of the current policy under consideration by the Dutch national government. The experts indicated that APM increases the chances of reaching policy goals and makes better use of decision support information that is gathered during the policy analysis process. However, they also indicated that, despite these potential benefits of APM, it may be hard to implement adaptive policies due to institutional issues.     

Het nut van de volkstellingen voor het verzekeringswezen

Rede gehouden v. d. Statistische Studiekring op Vrijdag 5 April 1940.     

Efficiency in fundraising and distributions to cause-related social profit enterprises

Managerial efficiency is as important in social profit enterprises (SPEs) as it is for more traditional financial-profit organizations. In this regard, both donors and SPE executives use efficiency information in making decisions. Here, we suggest a linked, two-stage Data Envelopment Analysis (DEA) methodology for assessing efficiency in both charitable fundraising and cause delivery, while empirically investigating results for international aid organizations. The model allows efficiency assessment for both the fundraising and utilization of generated funds when directed for cause-related purposes. This, in particular, allows for measurement of the organization’s managerial efficiency relative to both multiple phased goals and peer organizations. Additionally, the approach provides benchmarks for identifying sources of improved performance in fundraising and program/cause service delivery. It can also project the results of changes in inputs on the amount of resources available for the charitable organization’s cause.The proposed model(s) allow the examiner to assess performance while, at the same time, identifying those instances wherein the simple ratio measures commonly used in non-profit assessment are (1) deficient, and/or (2) misleading because of the use of ‘incorrect’ variables, or the ‘hiding’ of inefficiency if/when tax form categories are filed by an SPE. Importantly, the suggested two-stage DEA methodology can be useful for any organization with multiple-linked goals.     

Job crafting and I-deals: a study testing the nomological network of proactive behaviors

In this research, we investigated the predictive powers of I-deals and job crafting on key employee outcomes (in-role work performance, citizenship behaviors directed at organization and co-workers, affective commitment and intentions to stay). In doing so, we also compared the explanatory degree of job crafting and I-deals on these outcomes. We used two sets of samples, both drawn from across different industries in Istanbul, Turkey. The first study examined the factorial structures of job crafting and I-deals scales. The second study is used to test our hypotheses regarding effects and strengths of I-deals and job crafting on the outcomes. Findings from series of structural equation models underscored that I-deals are more critical in leading to enhanced employee outcomes compared to the effects of job crafting. We discuss the role of these proactive behaviors in today’s ever-changing business settings.     

When expectations become aspirations: reference-dependent preferences and liquidity constraints

A large body of literature suggests that consumers derive utility from gains and losses relative to a reference point. This paper shows that such reference dependence can affect savings in opposite directions depending on whether people face liquidity constraints. Existing models for wealth and intertemporal choice predict that reference dependence reduces savings, but these models abstract from liquidity constraints. Introducing a liquidity constraint, I find that reference dependence can increase optimal savings for people without access to credit. Ex post, after reference points have been formed, liquidity constraints force consumers to take part of an income loss in early periods, inducing those who are reference dependent to concentrate the full loss in early periods and save in order to eliminate future losses. Further, anticipating a liquidity constraint raises the expected level of future consumption and thus the expectations-based reference point for future periods, creating an ex-ante savings motive. These findings underscore that it is important to account for financial market imperfections when applying or testing reference-dependent models in low-income settings, and potentially explain heterogeneity in how much the poor save when facing binding liquidity constraints.     

Feminisation of the medical profession: a strategic HRM dilemma? The effects of family‐friendly HR practices on female doctors' contracted working hours

Health‐care institutions face a strategic HR dilemma. They need to attract female doctors from a tight, feminised labour market by offering family‐friendly HR practices (e.g. part‐time employment), often based on collective labour agreements, while trying to contain their labour costs by employing as many full‐timers as possible. In this study, we investigate which family‐friendly arrangements serve health‐care institutions' HR strategies best in terms of retaining female doctors' working hours. Data collected in 2008 from 1,070 Dutch female doctors indicate that offering family‐friendly HR practices such as flexible working hours (in contrast to part‐time working) minimise the strategic HR dilemma, since it offers scope for improving the work–life balance without encouraging female doctors to work less hours. However, the effect of family‐friendly arrangements on working hours is dependent on the family‐friendly workforce philosophy: only with proper support for career goals do women using family‐friendly arrangements work more hours.     

Human resource differentiation: A theoretical paper integrating co‐workers' perspective and context

This paper conceptualises “human resource (HR) differentiation” as a set of deliberate and differentiating HR practices across individuals within the organisation to address employees' unique work needs and preferences as well as reward them for their input. Despite the importance of HR differentiation, research has mainly focused on the recipients of such practices, overlooking the consequences of HR differentiation from co‐workers' perspective. This is a significant omission because a growing concern suggests that HR differentiation might be a double‐edged sword, as the presumed positive effects might only be confined to employees benefiting from it. Taking a first step, this paper offers a conceptual model that explains how co‐workers of a focal employee, who is entitled to an advantageous outcome through HR differentiation, are likely to react, either positively by showing contentment or negatively by showing anger, with behavioural consequences towards the focal employee and organisation. In so doing, we rely on deontic justice theory and explore contextual conditions at the individual and team level under which co‐workers react. As a result, our model can inspire future research by adopting a broader and more inclusive approach to HR differentiation, underlining the need for caution when implementing HR differentiation in a team setting.     

Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies

This paper argues that transportation planning methodologies must be built on the central thesis of the activity-based approach to travel demand modeling, namely, that travel is a derived demand that reflects people's desire and need to participate in activities. The paper discusses why this foundation for transportation planning methodologies is necessary to address contemporary planning and policy analysis issues. The paper also argues that the introduction of time-use data, analysis and modeling is a key element in the development of the next generation of transportation planning methodologies. Following a brief review of time-use studies, the paper discusses a number of planning and policy analysis areas in which time-use data will be of particular value, including the evaluation of induced or suppressed travel demand. The concepts advanced in the paper are illustrated with two brief numerical examples. These examples show how model systems based on time-use data can be used to (i) estimate the number of induced trips that would result from a reduction in commute travel time, and (ii) evaluate the impacts of alternative transportation improvement projects.