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.     

How Can Low‐income Countries Gain from a Framework Agreement on Climate Change? An Analysis with Integrated Assessment Modelling

By using the integrated assessment model RICE this article carries out a scenario analysis with different assumptions about international negotiations on climate change, in particular hypothesising about reduction in targets for greenhouse gas emissions, technology transfers and financial transfer programmes. It finds that, in terms of growth, developing countries and in particular sub‐Saharan Africa will benefit from agreements that reduce the level of pollution and promote technological diffusion. Moreover, when developed countries are subject to emissions limits and poor regions have no such commitments, financial transfers from rich to developing countries for adaptation and mitigation enhance pro‐poor growth and help the effectiveness of poor countries in reducing emissions.     

Can formula apportionment really prevent multinational enterprises from profit shifting? The role of asset valuation,intragroup debt,and leases

The European Commission has been supporting a transition from a system of separate accounting to formula apportionment. After its 2011 draft directive was rejected by the Council, the Commission presented two new draft directives in October 2016, one stipulating rules for a common tax base and another the terms for consolidation and apportionment. The aspired system of unitary taxation is considered more resistant to profit shifting and assumed to reduce compliance costs. However, there are also doubts about the extent, to which such a system will eradicate tax-planning activities of MNEs. Other concerns have arisen about the practical issue of enforcing uniform rules for asset valuation throughout the member states. We use a dynamic model of tax accounting based on neoclassical investment theory and effective tax rates to determine to what extent formula apportionment mitigates the efficiency of typical profit-shifting strategies. We focus on the roles of transfer pricing and intragroup debt financing (through loans and leases) under both separate accounting and formula apportionment. We also take into account a possible leeway for inconsistent valuation. Our results show that instead of eliminating tax planning strategies, the proposed system might simply induce a shift from manipulating reported profits to influencing the apportionment key. Inside the European Union, the CCCTB may be able to render thin capitalisation rules and transfer pricing documentation redundant. However, formula apportionment invites for new forms of tax planning. It is therefore essential to give credit to these new kinds of tax incentives when implementing a system of unitary taxation.     

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.     

When the state takes over: civic integration programmes and the role of cities in immigrant integration

The idea that cities enjoy a certain degree of autonomy from the state when it comes to shaping immigrant integration policy has been repeatedly highlighted by research and promoted by good governance discourses. However, the emergence of state-led civic integration programmes (CIP) across Europe would seem to jar with this movement. This is the contradiction that this article explores. CIP mobilise significant resources and streamline immigrant integration through language courses, the provision of information about the host society and vocational orientation. Drawing on policy documents and interviews with local policy-makers on the CIP in the Netherlands, Germany and Sweden, this article demonstrates how they reduce the role cities have in immigrant integration; and how they transform integration policies—to varying degrees—from being developed in relationship to locally emerging needs to being charged with state sovereignty. These findings challenge the idea that there is an increasingly local approach to integration. They also raise concerns about the ambitions of CIP. Although presented as a means to make integration policies more efficient, their focus on control and coercion may in fact jeopardise their capacity to respond to concrete integration needs.     

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.