A longitudinal analysis of moving desires, expectations and actual moving behaviour

Residential mobility theory proposes that moves are often preceded by the expression of moving desires and expectations. Much research has investigated how individuals form these premove thoughts, with a largely separate literature examining actual mobility. Although a growing number of studies link premove thoughts to subsequent moving behaviour, these often do not distinguish explicitly between different types and combinations of premove thoughts. Using 1998-2006 British Household Panel Survey data, this study investigates whether moving desires and expectations are empirically distinct premove thoughts. Using multinomial regression models we demonstrate that moving desires and expectations have different meanings, and are often held in combination: the factors associated with expecting to move differ depending upon whether the move is also desired (and vice versa). Next, using panel logistic regression models, we show that different desire expectation combinations have different effects on the probability of subsequent moving behaviour. The study identified two important groups generally overlooked in the literature: those who expect undesired moves and those who desire to move without expecting this to happen.PostprintPeer reviewe

Interregional migration in The Netherlands: an aggregate analysis

The understanding of migration behaviour is of key importance for regional population forecasting. This paper studies the phenomenon empirically, the results are to be applied in a regional labour market model that forecasts the spatial distribution of employment and labour force in the long term. Therefore, we pay particular attention to the impact of local labour market developments. Population forecasting demands for a macro approach to migration. However, certain relations that appear evident from microanalyses are difficult to trace in aggregate data. There are two ways in which we deal with this problem. We distinguish seven age groups. Since some migration motives (like education) are associated with particular age groups, we get a clearer picture of underlying mechanisms. Secondly, we expect that the share of labour motivated migrations in the flow between two regions increases with the distance between them. We therefore consider the impact of explanatory variables both on short and on longer distances. We split the migration decision into a decision to move and a choice of destination. For each age group, we propose a generation model based on population characteristics, that projects the total number of movers per region. The distribution of these migrants is determined by means of a production constrained spatial interaction model. Explanatory variables cover housing, labour market and study motives. Housing market related variables dominate short distance moves. Our estimation results show that labour market variables indeed play a significant role in describing long distance moves of young adults.

Internal Migration. Challenges and Perspectives for the Research Infrastructure

Research on internal migration covers a wide range of issues with regard to the reasons, distance and direction of moves as well as the process of decision-making. Given the rich field of relevant research objectives and the substantial developments in migration theory it is apparent that the availability of a broad set of data including detailed information on various aspects of life is one of the key factors for ongoing progress in the analysis of internal migration development. Available official aggregated data are useful for descriptive structural analyses. But they are very limited in explaining causal relations. The same holds for cross-sectional data. Some of the described longitudinal data sets consist of retrospective collected event history data that are not suitable for collecting essential information about attitudes and psychological states of the respondents over time. Several prospective longitudinal survey data do not represent essential aspects of internal migration. Data should at least include information on the place of residence (on the smallest possible spatial level), typologies about the characteristics of the place of residence, change of residence, reasons of a move, intentions to move, the dwelling and the neighbourhood as well as on commuting.internal migration, regional migration, migration theory, official data, cross-sectional data, longitudinal data.

Determinants of Female Migration – The Case of German NUTS 3 Regions

Our study examines the regional patterns and determinants of migration flows of young women. At the NUTS-3 regional level, i.e. the district level (Kreise), the German internal migration flows of the year 2005 are explored. From descriptive statistics it can be seen that peripheral regions in East Germany face the strongest migration deficit with respect to young women, whereas agglomerations in West Germany but also in the East benefit from an intense migration surplus within this group. An econometric analysis of determinants of regional migration flows gives evidence of the importance of labour market, family-related and educational migration motives. Generally speaking, young women tend to choose regions with good income and job opportunities, in addition they seem to be attracted by regions enabling an appropriate balance between family and career. Furthermore the existence of excellent educational facilities is a significant influence for young women’s migration. This educationally motivated type of migration generates a long lasting effect on the regional migration balance, especially when the educational opportunities in the destination region are associated with adequate career perspectives for high qualified female graduates. In view of considerable losses due to migration, the study shows various options for action. An important course of action is to incorporate policy measures improving regional employment and income opportunities. Secondly, extending vocational and academic offers addressed to women seems to be a suitable way to stimulate women’s immigration. Moreover, enhancing the social infrastructure, which contributes to a satisfactory work life balance, might attract young women or at least reduce the number of them leaving a region.spatial mobility, population economics

Sustainable consumption: towards action and impact. : International scientific conference November 6th-8th 2011, Hamburg - European Green Capital 2011, Germany: abstract volume

This volume contains the abstracts of all oral and poster presentations of the international scientific conference „Sustainable Consumption – Towards Action and Impact“ held in Hamburg (Germany) on November 6th-8th 2011. This unique conference aims to promote a comprehensive academic discourse on issues concerning sustainable consumption and brings together scholars from a wide range of academic disciplines. In modern societies, private consumption is a multifaceted and ambivalent phenomenon: it is a ubiquitous social practice and an economic driving force, yet at the same time, its consequences are in conflict with important social and environmental sustainability goals. Finding paths towards “sustainable consumption” has therefore become a major political issue. In order to properly understand the challenge of “sustainable consumption”, identify unsustainable patterns of consumption and bring forward the necessary innovations, a collaborative effort of researchers from different disciplines is needed

Immigration, socio-economic conditions and crime: a cross-sectional versus cross-sectional time-series perspective

This study purpose is to verify if there is an association between foreign immigration and crime. In doing this, the study investigates also some satellite aspects revolving around this possible association: the range of offences affected by immigration, the relationship between immigrant and native crime, and whether the immigration impact on crime is direct or indirect. The present study has addressed these issues by both a cross-sectional and a longitudinal analysis, the latter including an instrument. The study is based on data of the Italian provinces. Italy represents a critical case for studying the migration– crime relationship, because in this country the rise in foreign immigration has been sudden and its pace feverish. The cross-sectional analysis findings show that crime intensities are affected by time-invariant factors and marginally by immigration. On the contrary, the longitudinal analysis shows that variations in immigration had a positive impact on both the most serious and the most common offences, on property crimes as well as on crimes of violence. There is no evidence of indirect effects of immigration on crime or of a link with native crime. In contrast to previous literature regarding the U.S., Canada, and Australia, these results suggest that a spiralling immigration can affect crime. In terms of methods, these findings show that the standard synchronic analysis models can be biased by non-observed factors and that therefore cross-sectional time-series models can offer significant advantages

Are there Gender-specific Preferences for Location Factors? A Grouped Conditional Logit-Model of Interregional Migration Flows in Germany

The article analyses the question whether women and men differ in their tastes for location factors. The question is answered by quantifying the impact of location characteristics on interregional migration flows across Germany. The analysis is based on a grouped conditional logit approach. We augment the framework by controlling for violation of the independence of irrelevant alternatives assumption and for overdispersion. As a result, we find no differences in terms of direction of impact. However, the regressions confirm gender differences in terms of intensity, particularly regarding regional wage levels and the availability of educational institutions.labour mobility, gender economics, regional migration, discrete choice model

How does money influence health?

This study looks at hundreds of theories to consider how income influences health. There is a graded association between money and health – increased income equates to better health. But the reasons are debated.<p></p> Researchers have reviewed theories from 272 wide-ranging papers, most of which examined the complex interactions between people’s income and their health throughout their lives.<p></p> Key points<p></p> This research identifies four main ways money affects people’s wellbeing:<p></p> Material: Money buys goods and services that improve health. The more money families have, the better the goods they can buy.<p></p> Psychosocial: Managing on a low income is stressful. Comparing oneself to others and feeling at the bottom of the social ladder can be distressing, which can lead to biochemical changes in the body, eventually causing ill health.<p></p> Behavioural: For various reasons, people on low incomes are more likely to adopt unhealthy behaviours – smoking and drinking, for example – while those on higher incomes are more able to afford healthier lifestyles.<p></p> Reverse causation (poor health leads to low income): Health may affect income by preventing people from taking paid employment. Childhood health may also affect educational outcomes, limiting job opportunities and potential earnings

Generations and Gender Survey (GGS)

The Generations and Gender Survey (GGS) is one of the two pillars of the Generations and Gender Programme designed to improve understanding of demographic and social development and of the factors that influence these developments. This article describes how the theoretical perspectives applied in the survey, the survey design and the questionnaire are related to this objective. The key features of the survey include panel design, multidisciplinarity, comparability, context-sensitivity, inter-generational and gender relationships. The survey applies the life course approach, focussing on the processes of childbearing, partnership dynamics, home leaving, and retiring. The selection of topics for data collection mainly follows the criterion of theoretically grounded relevance to explaining one or more of the mentioned processes. A large portion of the survey deals with economic aspects of life, such as economic activity, income, and economic well-being; a comparably large section is devoted to values and attitudes. Other domains covered by the survey include gender relationships, household composition and housing, residential mobility, social networks and private transfers, education, health, and public transfers. The third chapter of the article describes the motivations for their inclusion. The GGS questionnaire is designed for a face-to-face interview. It includes the core that each participating country needs to implement in full, and four optional sub-modules on nationality and ethnicity, on previous partners, on intentions of breaking up, and on housing, respectively. The participating countries are encouraged to include also the optional sub-modules to facilitate comparative research on these topics.economic activity, event history, family, fertility, gender, generation, household, panel studies, survey, values

Health status, Neighbourhood effects and Public choice: Evidence from France

Observation of socioeconomic statistics between different neighbourhoods highlights significant differences for economic indicators, social indicators and health indicators. The issue faced here is determining the origins of health inequalities: individual effects and neighbourhood effects. Using National Health Survey and French census data from the period 2002-2003, we attempt to measure the individual and collective determinants of Self-Reported Health Status (SRH). By using a principal component analysis of aggregated census data, we obtain three synthetic factors called: "economic and social condition", "mobility" and "generational" and show that these contextual factors are correlated with individual SRHs. Since the 80s, different French governments have formulated public policies in order to take into account the specific problems of disadvantaged and deprived neighbourhoods. In view to concentrating national assistance, the French government has created "zones urbaines sensibles" (ZUS) [Critical Urban Areas, CUA]. Our research shows that in spite of implementing public policy in France to combat health inequalities, by only taking into account the CUA criterion (the fact of being in a CUA or not), many inequalities remain ignored and thus hidden.Health, Neighbourhood Effect, Housing policy