Multiple Migration Flows of Romanians

Abstract

Most studies on international migration examine population movement between a country of origin and a destination. This article aims to show that migrants often change destinations, a less studied pattern of ‘multiple migrations’. This article explores how such migration occurs and analyses the variables accounting for it. Drawing on qualitative fieldwork research amongst Romanian migrants in Portugal, the article concludes that the growth in multiple migrations of Romanian migrants throughout Europe can be explained by a combination of migration policies and social networks, mediated by migrants’ level of education and type of occupation at the destination.     

Unemployment Protection and Family Policy at the Turn of the 21st Century: A Dynamic Approach to Welfare Regime Theory

This article contributes to the welfare state regime literature from a substantive and methodological perspective. At a very abstract level we confirm the relevance of the welfare state regime theory and stability for the period from 1971 to the end of the 1990s. However, by analyzing family policy and unemployment protection, we observe a dual transformation of the welfare state, consisting of a trend towards a ‘socialization’ of family policies and a retrenchment in unemployment insurance benefits. Our Multiple Correspondence Analysis (MCA) of the two policy domains captures the multi‐dimensionality of the decommodification and defamilialization concepts and visualizes welfare state developments over time in a Cartesian space. This dynamic analysis provides us with a nuanced understanding of welfare state regime stability and change.     

An assessment of sustainable housing affordability using a multiple criteria decision making method

Housing affordability is a complex issue that must not only be assessed in terms economic viability. In order to increase quality of life and community sustainability the environmental and social sustainability of housing must also be taken into consideration.     

Extreme ranking analysis in robust ordinal regression

We extend the principle of robust ordinal regression with an analysis of extreme ranking results. In our proposal, we consider the whole set of instances of a preference model that is compatible with preference information provided by the DM. We refer to both, the well-known UTA^GMS method, which builds the set of general additive value functions compatible with DM's preferences, and newly introduced in this paper PROMETHEE^GKS, which constructs the set of compatible outranking models via robust ordinal regression. Then, we consider all complete rankings that follow the use of the compatible preference models, and we determine the best and the worst attained ranks for each alternative. In this way, we are able to assess its position in an overall ranking, and not only in terms of pairwise comparisons, as it is the case in original robust ordinal regression methods. Additionally, we analyze the ranges of possible comprehensive scores (values or net outranking flows). We also discuss extensions of the presented approach on other multiple criteria problems than ranking. Finally, we show how the presented methodology can be applied in practical decision support, reporting results of three illustrative studies.     

Inference of Signs of Interaction Effects in Simultaneous Games With Incomplete Information

This paper studies the inference of interaction effects in discrete simultaneous games with incomplete information. We propose a test for the signs of state‐dependent interaction effects that does not require parametric specifications of players' payoffs, the distributions of their private signals, or the equilibrium selection mechanism. The test relies on the commonly invoked assumption that players' private signals are independent conditional on observed states. The procedure is valid in (but does not rely on) the presence of multiple equilibria in the data‐generating process (DGP). As a by‐product, we propose a formal test for multiple equilibria in the DGP. We also implement the test using data on radio programming of commercial breaks in the United States, and infer stations' incentives to synchronize their commercial breaks. Our results support the earlier finding by Sweeting (2009) that stations have stronger incentives to coordinate and air commercials at the same time during rush hours and in smaller markets.     

A case-based distance method for screening in multiple-criteria decision aid

Screening is a process of multiple-criteria decision aid (MCDA) in which a large set of alternatives is reduced to a smaller set that most likely contains the best choice. We propose screening using a distance model calibrated on the basis of the decision-maker's own judgement. Viewing MCDA as preference aggregation based on consequence data, we define consequence and preference expressions (values and weights) and describe how they are aggregated. Then we define screening and explain some of its properties. Using an appropriate definition of distance, our case-based distance method screens a set of alternatives using criterion weights and a distance threshold obtained by quadratic optimization using the decision-maker's selection of alternatives from a test set. This case-based method can elicit the decision maker's preferences more expeditiously and accurately than direct inquiry. An application in water supply planning is used to demonstrate the procedure.     

Asymptotic distributions of quadratic forms occurring in changepoint problems

A stochastic-process approach is used to derive the asymptotic distributions of quadratic forms occurring in the analysis of changepoint data.     

Understanding TQM

An attempt is made to make some critical examinations relating to total quality management (TQM). The purpose is basically to capture the varied perspectives of TQM and to provide a direction for integrating them into the planning, design and implementation framework to enhance the effectiveness of TQM.     

Uncertainty and Risk in Financial Markets

This paper considers a general equilibrium model in which the distinction between uncertainty and risk is formalized by assuming agents have incomplete preferences over state‐contingent consumption bundles, as in Bewley (1986). Without completeness, individual decision making depends on a set of probability distributions over the state space. A bundle is preferred to another if and only if it has larger expected utility for all probabilities in this set. When preferences are complete this set is a singleton, and the model reduces to standard expected utility. In this setting, we characterize Pareto optima and equilibria, and show that the presence of uncertainty generates robust indeterminacies in equilibrium prices and allocations for any specification of initial endowments. We derive comparative statics results linking the degree of uncertainty with changes in equilibria. Despite the presence of robust indeterminacies, we show that equilibrium prices and allocations vary continuously with underlying fundamentals. Equilibria in a standard risk economy are thus robust to adding small degrees of uncertainty. Finally, we give conditions under which some assets are not traded due to uncertainty aversion.