Anonymous voting and minimal manipulability

We compare the manipulability of different choice rules by considering the number of manipulable profiles. We establish the minimal number of such profiles for tops-only, anonymous, and surjective choice rules, and show that this number is attained by unanimity rules with status quo.     

Pricing default swaps: Empirical evidence

In this paper we compare market prices of credit default swaps with model prices. We show that a simple reduced form model outperforms directly comparing bonds' credit spreads to default swap premiums. We find that the model yields unbiased premium estimates for default swaps on investment grade issuers, but only if we use swap or repo rates as proxy for default-free interest rates. This indicates that the government curve is no longer seen as the reference default-free curve. We also show that the model is relatively insensitive to the value of the assumed recovery rate.     

Longitudinal measurement in organisational transformation: a case of a Dutch Flex Company

This paper will present the analysis of data over 3 years (1998, 1999, and 2000) on the satisfaction of flex workers in the context of a flex company’s service excellence programme, as an example of the use of measurements in relation to the change process. The important issues related to the specific data of the flex workers’ satisfaction surveys are: (a) the relationships between perceived satisfaction of flex workers and possible behavioural consequences, like making complaints and making use of other flex companies; (b) the stability of factor constructs over time that identify the major dimensions of satisfaction of flex workers; and (c) the satisfaction dynamics over time.     

An empirical study into the influence of customer satisfaction on customer revenues

It is broadly expected that customer satisfaction (CS) influences customer revenues (CR), but there is little evidence for the corresponding hypothesis. If CS influences CR, there must be a relation between CS at time t?=?0 and CR at time t?>?0. We developed a statistical model representing this relation, which we tested in a longitudinal study using person-level data (N?=?1682) from a Dutch retail bank. We found that CS had a positive effect on CR with 1-year and 2-year time lags. These results support the hypothesis that CS influences CR.     

Automatic Editing for Business Surveys: An Assessment of Selected Algorithms

Statistical offices are responsible for publishing accurate statistical information about many different aspects of society. This task is complicated considerably by the fact that data collected by statistical offices generally contain errors. These errors have to be corrected before reliable statistical information can be published. This correction process is referred to as statistical data editing. Traditionally, data editing was mainly an interactive activity with the aim to correct all data in every detail. For that reason the data editing process was both expensive and time-consuming. To improve the efficiency of the editing process it can be partly automated. One often divides the statistical data editing process into the error localisation step and the imputation step. In this article we restrict ourselves to discussing the former step, and provide an assessment, based on personal experience, of several selected algorithms for automatically solving the error localisation problem for numerical (continuous) data. Our article can be seen as an extension of the overview article by Liepins, Garfinkel & Kunnathur (1982). All algorithms we discuss are based on the (generalised) Fellegi–Holt paradigm that says that the data of a record should be made to satisfy all edits by changing the fewest possible (weighted) number of fields. The error localisation problem may have several optimal solutions for a record. In contrast to what is common in the literature, most of the algorithms we describe aim to find all optimal solutions rather than just one. As numerical data mostly occur in business surveys, the described algorithms are mainly suitable for business surveys and less so for social surveys. For four algorithms we compare the computing times on six realistic data sets as well as their complexity.     

A Corporate Social Responsibility Audit within a Quality Management Framework

In this paper a corporate social responsibility audit is developed following the underlying methodology of the quality award/excellence models. Firstly the extent to which the quality awards already incorporate the development of social responsibility is examined by looking at the Malcolm Baldrige National Quality Award and the European Quality Award. It will be shown that the quality awards do not yet include ethical aspects in relation to social responsibility. Both a clear definition of social responsibility and an improved audit instrument are required. A definition and an audit instrument are developed which stimulate movement in that direction and help organisations to reflect on their position in relation to social responsibility.