Expected sample moments of concomitants of selected order statistics

In this paper, the task of determining expected values of sample moments, where the sample members have been selected based on noisy information, is considered. This task is a recurring problem in the theory of evolution strategies. Exact expressions for expected values of sums of products of concomitants of selected order statistics are derived. Then, using Edgeworth and Cornish-Fisher approximations, explicit results that depend on coefficients that can be determined numerically are obtained. While the results are exact only for normal populations, it is shown experimentally that including skewness and kurtosis in the calculations can yield greatly improved results for other distributions.     

Approximate Bayesian inference in semi-mechanistic models

Inference of interaction networks represented by systems of differential equations is a challenging problem in many scientific disciplines. In the present article, we follow a semi-mechanistic modelling approach based on gradient matching. We investigate the extent to which key factors, including the kinetic model, statistical formulation and numerical methods, impact upon performance at network reconstruction. We emphasize general lessons for computational statisticians when faced with the challenge of model selection, and we assess the accuracy of various alternative paradigms, including recent widely applicable information criteria and different numerical procedures for approximating Bayes factors. We conduct the comparative evaluation with a novel inferential pipeline that systematically disambiguates confounding factors via an ANOVA scheme.     

RISK AVERSION AND OVERBIDDING IN FIRST PRICE SEALED BID AUCTIONS: NEW EXPERIMENTAL EVIDENCE

Bidding above the risk‐neutral Nash equilibrium in first price sealed bid auctions has traditionally been ascribed to risk aversion. Later studies, however, offer other explanations and even argue that risk aversion plays no or a minor role. In a novel experimental design, we directly test the relationship between risk aversion and overbidding by systematically varying the distribution of risk attitudes in auction markets. We find a significant relationship between our measure of risk aversion and overbidding. (JEL D44, C91)     

Happily ever after? Intrahousehold bargaining and the distribution of utility within marriage

Using a rich longitudinal data set of married couples from the Korean Labor and Income Panel Study, this article seeks to uncover the intramarital allocation of experienced utility and its drivers. We find both substantial gains from marriage and effects of relative predicted earnings outside of marriage on relative gains from marriage. These findings are consistent with cooperative bargaining models and with models viewing individuals as having a demand for household production services by a spouse, with market forces influencing the price of such services. In addition, we find that men benefit more from marriage than women and that this gender gap is more pronounced for older couples. This is likely to be due to social norms and prescribed gender roles which are more prevalent within the older generation.     

Phenomenology‐Based Ethnography for Management Studies and Organizational Analysis

This paper introduces phenomenology‐based ethnography as a novel ethnographic approach for research in management studies and organizational analysis and describes three methods that have been developed from this approach: life‐world analytical ethnography, focused ethnography and go‐along ethnography. Phenomenology‐based ethnography has emerged from developments in sociology that draw on ‘social phenomenology’ developed by Alfred Schütz. These developments involve the use of phenomenology‐based ethnographic methods that shift the focus of research onto participants’ subjective experiences of the field further than has been required by other ethnographic approaches. This paper uses a set of dimensions that allow a comparison of these phenomenology‐based methods’ aims, techniques of data collection and analysis, and required effort. These three methods are then compared with current ethnographic methods used in organizational research and management studies. The paper concludes with a discussion that explores and addresses the critique of how phenomenology‐based ethnography conceives the relationship between the researcher and the research subject.     

Efficient Monte Carlo simulation via the generalized splitting method

We describe a new Monte Carlo algorithm for the consistent and unbiased estimation of multidimensional integrals and the efficient sampling from multidimensional densities. The algorithm is inspired by the classical splitting method and can be applied to general static simulation models. We provide examples from rare-event probability estimation, counting, and sampling, demonstrating that the proposed method can outperform existing Markov chain sampling methods in terms of convergence speed and accuracy.     

Improved cross-entropy method for estimation

The cross-entropy (CE) method is an adaptive importance sampling procedure that has been successfully applied to a diverse range of complicated simulation problems. However, recent research has shown that in some high-dimensional settings, the likelihood ratio degeneracy problem becomes severe and the importance sampling estimator obtained from the CE algorithm becomes unreliable. We consider a variation of the CE method whose performance does not deteriorate as the dimension of the problem increases. We then illustrate the algorithm via a high-dimensional estimation problem in risk management.     

An Initiators' Perspective on the Continuity of Citizens' Initiatives in Rural Areas

Against the backdrop of depopulation and the shift toward Big Society, citizens' initiatives in rural areas are believed to be able to mitigate the decline of service provision in rural regions. Consequently, this mitigation requires the continuity of such initiatives. However, so far, we lack an initiators' perspective on the relevance of this continuity and the factors influencing it. From a theoretical standpoint, continuity of citizens' initiatives can be understood at three levels: the participant, group, and initiative levels. Based on empirical data obtained from 157 questionnaires distributed to a variety of initiatives, and using regression analysis, the focus of this paper is twofold. First, how and at which level the initiators understand continuity of an initiative is considered. Second, factors influencing the expected continuity of an initiative are researched. The results reveal that continuity differs from merely being successful and is influenced by other factors as well. Furthermore, continuity on the initiative level—the realization of a certain goal—is most prominent in analyzing expected continuity. In conclusion, we explore the roles that citizens' initiatives can be expected to play in service provision and which levels of continuity align with these expectations.     

Identifying social innovations in European local rural development initiatives

Social innovation is attracting increasing attention in research and policy, heightened by continuing austerity across Europe. Therefore, this paper examines earlier research into community-led local development (CLLD) initiatives in rural areas of Europe to develop our understanding of the meaning and scope of rural social innovation. We draw on a Schumpeterian view where innovations emerge from new combinations of resources that bring about positive changes and create value in society. A Schumpeterian social innovation framework is derived as the basis for re-analysing data from previous evaluations of LEADER policy in five different national contexts. This elicits a clearer understanding of social innovation in a rural development context, identifying different processes and outcomes that create social value. As the CLLD agenda and the demand for innovation in Europe gather pace, our aspirations are to inform future research and other initiatives on how to integrate social innovation into the design and evaluation of new rural development policies and programmes.