On the contribution of sectoral natural population growth to the aggregate poverty change

This note extends the Ravallion and Huppi (World Bank Econ Rev 5(1):57–82, 1991) aggregate poverty change decomposition to account for the distinct contribution of migration and differential natural population growth between sectors to the aggregate poverty change. We apply our decomposition to three Least Developing countries. We find that accounting for sectoral difference in natural population growth has a considerable impact on national poverty change. Responsible editor: Alessandro Cigno     

Estimation of parameters of the inverse gaussian-weibull mixture model

The main objective of this work is to estimate the 5-dime-nsional vector of parameters (p,μ,λ,α,c) of the mixture of an Inverse Gaussian IG(μ,λ) and Weibull W(α,c) distributions with mixing proportion p. We use the maximum Likelihood method (MLM) and the weighted maximum likelihood method (WMLM), both under the sampling schemes suggested by Hosmer (1973). Simulation study shows that the WMLM performs best, when Hosmer's model 2 is used, in the sense of minimizing the mean square error.     

Guided Censored Regression

Parametrically guided non‐parametric regression is an appealing method that can reduce the bias of a non‐parametric regression function estimator without increasing the variance. In this paper, we adapt this method to the censored data case using an unbiased transformation of the data and a local linear fit. The asymptotic properties of the proposed estimator are established, and its performance is evaluated via finite sample simulations.     

Two-Term Edgeworth Expansions for the Classes of U- and V-statistics

Much effort has been devoted to deriving Edgeworth expansions for various classes of statistics that are asymptotically normally distributed, with derivations tailored to the individual structure of each class. Expansions with smaller error rates are needed for more accurate statistical inference. Two such Edgeworth expansions are derived analytically in this paper. One is a two-term expansion for the standardized U-statistic of order m, m ? 3, with an error rate o(n^{? 1}). The other is an expansion with the same error rate for the distribution of the standardized V-statistic of the same order. In deriving the Edgeworth expansion, we made use of the close connection between the V- and U-statistics, which permits to first derive the needed expansion for the related U-statistic, then extend it to the V-statistic, taking into consideration the estimation of all difference terms between the two statistics.     

Multiple belongings: transnational mobility,social class,and gendered identities among Polish migrants in Norway

ABSTRACT

Using ethnographic research in Norway and in Poland, this article focuses on the dynamics of multiple belongings of Polish migrants. It explores their experiences of belonging in relation to social class, gendered identities, and their different strategies of transnational mobility between Poland and Norway. By approaching belonging ‘from below’, we posit that it is a dynamic, processual, and socially and culturally constructed attachment to places, times, and communities, which includes experiential, practical, and affective dimensions. Considering the importance of questions of belonging and home-making in migrants’ lives, always contextually produced and read through performative reiterations, we focus on migrants’ daily routines and migratory practices, and argue that belonging is a multifaceted process, which takes on diverse forms and meanings of ‘who’ belongs to ‘what’, ‘where’ and ‘when’. Following intersectional perspective, the article aims at problematizing dependencies between mobility, gender, class, and migrants’ multiple belongings, and thereby, enhancing the understanding of the notion of belonging and its embeddedness in the inter-related social, cultural, economic, and political realms.     

Nonhomogeneous poisson processes as overhaul models

Hollander and Proschan (1974) studied nonhomogeneous Poisson processes as models for systems subject to overhauls. They did not postulate a functional form for the intensity, but showed that certain basic assumptions about the deterioration of the system implied that the mean function is superadditive. They studied tests of the null hypothesis that the intensity is constant with the alternative restricted to superadditive mean functions. For estimation purposes, the class of superadditive mean functions is too broad. We assume that the intensity is nondecreasing between overhauls and that at an overhaul it does not fall below its average prior to the overhaul. These two assumptions imply that the mean function is star-shaped. We obtain the restricted maximum-likelihood estimates under these two assumptions and under the star-shaped restriction. The two estimates are compared on a data set.     

A Non‐parametric ANOVA‐type Test for Regression Curves Based on Characteristic Functions

This article studies a new procedure to test for the equality of k regression curves in a fully non‐parametric context. The test is based on the comparison of empirical estimators of the characteristic functions of the regression residuals in each population. The asymptotic behaviour of the test statistic is studied in detail. It is shown that under the null hypothesis, the distribution of the test statistic converges to a finite combination of independent chi‐squared random variables with one degree of freedom. The coefficients in this linear combination can be consistently estimated. The proposed test is able to detect contiguous alternatives converging to the null at the rate n ^{? 1 ∕ 2}. The practical performance of the test based on the asymptotic null distribution is investigated by means of simulations.     

Clan information market games

We introduce a TU-game that describes a market where information is distributed among several agents and all these pieces of information are necessary to produce a good. This situation will be called clan information market. The class of the corresponding TU-games, the clan information market games (CIGs), is a subset of the class of clan games. We provide some well-known point solutions for CIGs in terms of the market data.