scholarly journals Towards a Reconsideration of Female Migration Patterns in Burkina Faso

2004 ◽  
Vol 31 (2) ◽  
pp. 145 ◽  
Author(s):  
Gael Le Jeune ◽  
Victor Piché ◽  
Jean Poirier
Keyword(s):  
Burkina Faso ◽  
Labour Market ◽  
National Survey ◽  
Rural Areas ◽  
Event History ◽  
Migration Patterns ◽  
History Data ◽  
Female Migration ◽  
Event History Data ◽  
Migration Dynamics

This study focuses on changes in female migration patterns during the last fifty years in Burkina Faso. We examine migration paths and reasons for moving between ages 12 and 25 for women of rural origin using event history data drawn from the Migration Dynamics, Urban Integration and Environment in Burkina Faso National Survey conducted in 2000. The results show that female migration patterns are changing in a subtle and complex way. Women are emigrating more out of rural areas and experiencing increased multiple move trajectories. Motives are also less-family driven and more related to education and labour market considerations.

Event history data structures

2019 ◽  
pp. 41-62
Author(s):  
Hans-Peter Blossfeld ◽  
Götz Rohwer ◽  
Thorsten Schneider ◽  
Brendan Halpin
Keyword(s):  
Data Structures ◽  
Event History ◽  
History Data ◽  
Event History Data

Escaping welfare? Social assistance dynamics in Sweden

2011 ◽  
Vol 21 (5) ◽  
pp. 486-500 ◽  
Author(s):  
Olof Bäckman ◽  
Åke Bergmark
Keyword(s):  
Mixture Model ◽  
Unobserved Heterogeneity ◽  
Social Assistance ◽  
Temporal Patterns ◽  
Previous Experience ◽  
Event History ◽  
Duration Dependence ◽  
Swedish Population ◽  
History Data ◽  
Event History Data

The article analyses temporal patterns in social assistance receipt in Sweden in the 2000s by looking at which circumstances facilitate versus reduce the possibilities of a person ceasing to be a recipient of social assistance. The analysis is guided by the following questions: What conditions lead people to terminate periods of social assistance receipt? Which factors are central to exits with different subsequent income patterns? How do these explain the different situations of recipients prior to termination? We focus particularly on income maintenance prior to spells of social assistance. We use event history data on monthly social assistance take-up covering the total adult Swedish population for the years 2002–2004. We adopt a gamma mixture model to control for unobserved heterogeneity. The results suggest that previous experience of both employment and social assistance receipt are important determinants for all types of exits from social assistance recipiency. A negative duration dependence is found also when unobserved heterogeneity is controlled for.

A general approach to the machine handling of event history data

1985 ◽  
Vol 24 (1) ◽  
pp. 161-188 ◽  
Author(s):  
Máire Ní Bhrolcháin ◽  
Ian M. Timaeus
Keyword(s):  
Event History ◽  
History Data ◽  
Event History Data

A mixture of beta–Dirichlet processes prior for Bayesian analysis of event history data

2013 ◽  
Vol 42 (3) ◽  
pp. 313-321 ◽  
Author(s):  
Minwoo Chae ◽  
Rafael Weißbach ◽  
Kwang Hyun Cho ◽  
Yongdai Kim
Keyword(s):  
Bayesian Analysis ◽  
Event History ◽  
Dirichlet Processes ◽  
History Data ◽  
Event History Data

scholarly journals Statut social et émigration internationale des femmes au Burkina Faso

2021 ◽  
Vol 17 (20) ◽  
pp. 163
Author(s):  
Ousmane Barry ◽  
Honoré Mimche ◽  
Patrice Tanang Tchouala ◽  
Hamidou Kone
Keyword(s):  
Burkina Faso ◽  
Social Status ◽  
Rural Areas ◽  
Local Development ◽  
Secondary Data ◽  
Migration Internationale ◽  
Female Migration ◽  
The Social ◽  
The Impact ◽  
Status Of Women

Le statut social de la femme est un critère de différenciation dans le domaine de la migration internationale féminine. Cependant la littérature reste peu prolixe sur la relation entre celui-ci et la pratique migratoire. Cette étude vise à documenter les liens entre le statut des femmes et leurs comportements migratoires dans le contexte burkinabè. Elle s’appuie sur des données secondaires, 3 880 femmes âgées de 15 ans et plus, issues de l’enquête sur l’Interaction entre Politiques Publiques, Migrations et Développement (IPPMD) au Burkina Faso en 2014 collectées auprès de 2 200 ménages. L’analyse a été à la fois descriptive (bivariée et multivariée) et explicative (régression logistique). Les résultats montrent que le statut social de la femme est négativement associé à l’émigration internationale des femmes. Les émigrées sont celles qui ont un statut faible. Elles résident en milieu rural, dans des ménages ayant une expérience migratoire et un niveau de vie faible. Le statut social de la femme explique le départ vers l’étranger chez les femmes Burkinabè et contribue à l’exacerbation des flux migratoires au Burkina Faso. Le sexe du chef de ménage et la taille du ménage constituent un autre groupe de variables qui influencent directement l’émigration des femmes mais aussi de façon indirecte via le statut de celles-ci. En conclusion, cette étude aurait contribué à une compréhension plus large sur les migrations féminines au Burkina Faso. Au regard de ces résultats, l’amélioration des conditions de vie des femmes et l’analyse de l’impact de l’émigration internationale de cellesci sur certains secteurs de développement local telles que la santé et l’éducation constituent des pistes à explorer afin de contribuer à l’autonomisation des femmes d’une part et de tirer les avantages qu’offre la migration d’autre part.   The social status of women is a criterion of differentiation in the field of international female migration. However, the literature is not very prolific on the relationship between this and the practice of migration. This study aims to document the links between the status of women and their migratory behavior in the Burkina Faso context. The study is based on secondary data, 3,880 women aged 15 and over, from the survey on the Interaction between Public Policies, Migration and Development (IPPMD) in Burkina Faso in 2014 collected from 2,200 households. The analysis was both descriptive (bivariate and multivariate) and explanatory. Results show that the social status of women is negatively associated with the international emigration of women. The emigrants are those who have a weak status. They live in rural areas, in households with migratory experience and a low standard of living. The social status of women explains the departure abroad among Burkinabè women and contributes to the exacerbation of migratory flows in Burkina Faso. The sex of the head of the household and the size of the household constitute another group of variables that directly influence the emigration of women but also indirectly via their status. In conclusion, this study would have contributed to a broader understanding of female migration in Burkina Faso. Based on these results, improving the living conditions of women and analyzing the impact of their international emigration on sectors of local development such as health and education are avenues for consideration to explore in order to contribute to the empowerment of women on the one hand and to reap the benefits of migration on the other.

scholarly journals Semiparametric analysis of complex longitudinal data

2020 ◽  
Author(s):  
◽  
Dayu Sun
Keyword(s):  
Variable Selection ◽  
Longitudinal Data ◽  
Recurrent Event ◽  
Event History ◽  
Panel Count Data ◽  
Recurrent Event Data ◽  
Response Variable ◽  
History Data ◽  
Event History Data ◽  
Observation Process

Event history data consist of the longitudinal records of event occurrence times. Recurrent event data and panel count data are two common types of event history data that occur in many areas, such as medical studies and social sciences. A great deal of literature has been established for their analyses. Nevertheless, only limited research exists on the variable selection for recurrent event data and panel count data. The existing methods can be seen as direct generalizations of the available penalized procedures for linear models, but may not perform as well as expected due to the complex structure of event history data. The first and second parts of this dissertation then discuss simultaneous parameter estimation and variable selection for event history data. We present a new variable selection method with a new penalty function, which will be referred to as the broken adaptive ridge regression approach. In addition to the establishment of the oracle property, we also show that the proposed variable selection method has the clustering or grouping effect when covariates are highly correlated. Furthermore, the numerical studies are performed and indicate that the method works well for practical situations and can outperform the existing methods. Applications to real data are provided. Most of the existing studies of longitudinal data assume that covariates can be observed at the same observation times for the response variable, and the observation process is independent of the response variable completely or given covariates. In practice, the response variables and covariates are sometimes observed intermittently at different time points, leading to sparse asynchronous longitudinal data. The observation process may also be related to the response variable even given covariates and sometimes both issues can even occur at the same time. Although each of the two issues has been developed to address in literature, it does not seem to exist an established approach that can deal with both together. To address both issues simultaneously, the third part of this dissertation proposes a flexible semiparametric transformation conditional model and a kernel-weighted estimating equation based approach. The proposed estimators of regression parameters are shown to be consistent and asymptotically follow the normal distribution. For the assessment of the finite sample performance of the proposed method, an extensive simulation study is carried out and suggests that it performs well for practical situations. The approach is applied to a prospective HIV study that motivated this investigation.

Sign in / Sign up

Export Citation Format

Share Document