The Migration–Development Nexus Evidence and Policy Options State–of–the–Art Overview

In September 2001, the Danish Ministry of Foreign Affairs commissioned a study of the present and potential links between migration and development. In January 2002, the new Danish Government announced a decision to enhance the links between its aid and refugee policies as part of the overall focus on poverty reduction. The present paper provides a state–of–the–art overview of current thinking and available evidence on the migration–development nexus, including the role of aid in migrant–producing areas. It offers evidence and conclusions around the following four critical issues: Poverty and migration People in developing countries require resources and connections to engage in international migration. There is no direct link between poverty, economic development, population growth, and social and political change on the one hand, and international migration on the other. Poverty reduction is not in itself a migration–reducing strategy. Conflicts, refugees, and migration Violent conflicts produce displaced persons, migrants, and refugees. People on the move may contribute both to conflict prevention and reconciliation, and to sustained conflicts. Most refugees do not have the resources to move beyond neighbouring areas, that is, they remain internally displaced or move across borders to first countries of asylum within their region. Aid to developing countries receiving large inflows of refugees is poverty–oriented to the extent that these are poor countries, but it is uncertain what effect such aid has in terms of reducing the number of people seeking asylum in developed countries. Furthermore, such aid may attract refugees from adjacent countries experiencing war or political turmoil. Migrants as a development resource International liberalization has gone far with respect to capital, goods and services, but not to labour. International political–economic regimes provide neither space nor initiatives for negotiations on labour mobility and the flow of remittances. There is a pressing need to reinforce the image of migrants as a development resource. Remittances are double the size of aid and target the poor at least as well; migrant diasporas are engaged in transnational practices with direct effects on aid and development; developed countries recognize their dependence on immigrant labour; and policies on development aid, humanitarian relief, migration, and refugee protection are internally inconsistent and occasionally contradictory. Aid and migration Aid policies face a critical challenge to balance a focus on poverty reduction with mitigating the conditions that produce refugees, while also interacting constructively with migrant diasporas and their transnational practices. The current emphasis on aid selectivity tends to allocate development aid to the well performing countries, and humanitarian assistance to the crisis countries and trouble spots. However, development aid is more effective than humanitarian assistance in preventing violent conflicts, promoting reconciliation and democratization, and encouraging poverty–reducing development investments by migrant diasporas. The paper is a synthesis of current knowledge of migration–development dynamics, including an assessment of the intended and unintended consequences of development and humanitarian policy interventions. We examine whether recent developments in the sphere of international migration provide evidence of a “crisis”, as well as the connections between migration, globalization, and the changing nature of conflicts. We summarize current thinking on the main issues at stake and examine available evidence on the relations between migration and development. Then the consequent challenges to the aid community, including the current debates about coherence and selectivity in aid and relief are discussed and, finally, we elaborate on the four conclusions of the overview.     

The Migration–Development Nexus: Evidence and Policy Options

Migration and development are linked in many ways – through the livelihood and survival strategies of individuals, households, and communities; through large and often well–targeted remittances; through investments and advocacy by migrants, refugees, diasporas and their transnational communities; and through international mobility associated with global integration, inequality, and insecurity. Until now, migration and development have constituted separate policy fields. Differing policy approaches that hinder national coordination and international cooperation mark these fields. For migration authorities, the control of migration flows to the European Union and other OECD countries are a high priority issue, as is the integration of migrants into the labour market and wider society. On the other hand, development agencies may fear that the development policy objectives are jeopardized if migration is taken into consideration. Can long–term goals of global poverty reduction be achieved if short–term migration policy interests are to be met? Can partnership with developing countries be real if preventing further migration is the principal European migration policy goal? While there may be good reasons to keep some policies separate, conflicting policies are costly and counter–productive. More importantly, there is unused potential in mutually supportive policies, that is, the constructive use of activities and interventions that are common to both fields and which may have positive effects on poverty reduction, development, prevention of violent conflicts, and international mobility. This paper focuses on positive dimensions and possibilities in the migration–development nexus. It highlights the links between migration, development, and conflict from the premise that to align policies on migration and development, migrant and refugee diasporas must be acknowledged as a development resource.     

Symptoms of Eating Disorders Among Females in Drug Addiction Treatment

The aim of this study is to measure and describe symptoms of eating disorders among females in treatment for drug addiction in Norway. Previous clinical and epidemiological studies have revealed coprevalence between eating disorders and substance use or abuse. However, few studies have measured eating disorders in drug-using samples and even fewer within the context of drug treatment. In this study, 29 females with drug use disorder in residential treatment were tested with the Eating Disorder Inventory–2. A subgroup of 9 females (31%) with significant symptoms of eating disorders was identified. The characteristics of this group and possible clinical consequences are discussed.     

Bringing Aid Management Closer to Reality: The Experience of Danish Bilateral Development Cooperation

In 2003, the Danish Ministry of Foreign Affairs undertook a decentralisation of the management of bilateral aid to the embassies in major partner countries. However, while decentralisation appears to live up to the principles of the Paris Declaration on Aid Effectiveness, the specific delegation of responsibilities as well as the political context of aid management may jeopardise the intended contribution to effective development co‐operation. This article explores some factors potentially limiting the usefulness of decentralised aid management in the Danish case, and discusses certain intra‐organisational dynamics and extra‐organisational pressures influencing ‘donor effectiveness’.     

An Additive–Multiplicative Restricted Mean Residual Life Model

The mean residual life measures the expected remaining life of a subject who has survived up to a particular time. When survival time distribution is highly skewed or heavy tailed, the restricted mean residual life must be considered. In this paper, we propose an additive–multiplicative restricted mean residual life model to study the association between the restricted mean residual life function and potential regression covariates in the presence of right censoring. This model extends the proportional mean residual life model using an additive model as its covariate dependent baseline. For the suggested model, some covariate effects are allowed to be time‐varying. To estimate the model parameters, martingale estimating equations are developed, and the large sample properties of the resulting estimators are established. In addition, to assess the adequacy of the model, we investigate a goodness of fit test that is asymptotically justified. The proposed methodology is evaluated via simulation studies and further applied to a kidney cancer data set collected from a clinical trial.     

Romantic relationships,college student alcohol use,and negative consequences of drinking

This study examined whether being in a romantic relationship is associated with undergraduates’ alcohol use and negative consequences of drinking. Alcohol use was operationalized to include amount and frequency of drinking, binge drinking, and drunkenness. Negative consequences included: having a hangover, missing a class, getting behind in school work, doing something that was later regretted, forgetting where the student was or what they did, having unplanned sex, and getting hurt or injured. Data came from an online survey distributed to Midwestern undergraduate students (N = 572), with analyses conducted separately for men and women. Results indicated that being in a committed relationship generally served as a protective factor against drunkenness, but did not reduce frequency of drinking or binge drinking. Whereas romantically committed men were only less likely to report doing something that was later regretted, women in romantic relationships were less likely to experience all negative consequences of drinking considered here.     

Cox regression with missing covariate data using a modified partial likelihood method

Missing covariate values is a common problem in survival analysis. In this paper we propose a novel method for the Cox regression model that is close to maximum likelihood but avoids the use of the EM-algorithm. It exploits that the observed hazard function is multiplicative in the baseline hazard function with the idea being to profile out this function before carrying out the estimation of the parameter of interest. In this step one uses a Breslow type estimator to estimate the cumulative baseline hazard function. We focus on the situation where the observed covariates are categorical which allows us to calculate estimators without having to assume anything about the distribution of the covariates. We show that the proposed estimator is consistent and asymptotically normal, and derive a consistent estimator of the variance–covariance matrix that does not involve any choice of a perturbation parameter. Moderate sample size performance of the estimators is investigated via simulation and by application to a real data example.     

A Note on the Large Sample Properties of Estimators Based on Generalized Linear Models for Correlated Pseudo‐observations

Pseudo‐values have proven very useful in censored data analysis in complex settings such as multi‐state models. It was originally suggested by Andersen et al., Biometrika, 90, 2003, 335 who also suggested to estimate standard errors using classical generalized estimating equation results. These results were studied more formally in Graw et al., Lifetime Data Anal., 15, 2009, 241 that derived some key results based on a second‐order von Mises expansion. However, results concerning large sample properties of estimates based on regression models for pseudo‐values still seem unclear. In this paper, we study these large sample properties in the simple setting of survival probabilities and show that the estimating function can be written as a U‐statistic of second order giving rise to an additional term that does not vanish asymptotically. We further show that previously advocated standard error estimates will typically be too large, although in many practical applications the difference will be of minor importance. We show how to estimate correctly the variability of the estimator. This is further studied in some simulation studies.     

Studying children in armed conflict: data production,social indicators and analysis

The authors seek to give an overview of ways in which social indicators relevant to research on children affected by armed conflict can be developed, and how such research can be carried out. Technical and methodological challenges involved in this pursuit are discussed. It is argued that data production must consider issues of definition and delineation of the phenomenon of war-affected children more actively than it does currently. An analytical approach is proposed, in which children’s characteristics in different situations, or in different stages of conflict, may be used as intakes to understanding how the social processes pertaining to life histories of children in armed conflict are created and reproduced.

SOCIAL BACKGROUND,EDUCATION, AND INEQUALITY

The role parents' education plays for the educational achievements of children is a source of unequal opportunities. Through this channel the number of educated affects the options of future cohorts, creating a social multiplier effect making improvements in education self‐reinforcing. Policies to compensate for inequalities of opportunities—public education or transfers—have very different implications. Transfers not only reduce inequality on impact but also reduce social mobility, while public education—even if a perfect substitute to private education—works in the opposite direction. Social impediments to education are similar to a market imperfection, and publicly provided education may lead to a Pareto improvement. (JEL D3, I2, H2, H4)