September 2014
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126 Reads
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September 2014
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126 Reads
July 2004
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26 Reads
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3 Citations
Demographic Research
The 1930 population census of the former Dutch East Indies (currently Indonesia) shows for the European population a striking shortage in the age range 10-20. This paper deals with the possible causes of this constriction in the age structure, in particular, the phenomenon of European children attending secondary education in the Netherlands. Using sample data from the city of The Hague, it is estimated that the proportion of students in the Netherlands born in the Dutch Indies was about 3 per cent, implying than the teenager gap in the Dutch Indies was for about half due to a cohort effect and for the other half due to the ‘education at home’ effect.
March 2004
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381 Reads
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14 Citations
Journal of Population Research
Indonesia was a Dutch colony until 1949. In the aftermath of World War II and the independence of the former Dutch East Indies, many people migrated from Indonesia to the Netherlands or other Western countries. This migrant population, known as the Indo-Dutch population, consists of Europeans, Asians, and persons of mixed European–Asian blood. These groups have all associated themselves with and experienced the colonial culture of the former Dutch Indies, and have carried this cultural experience elsewhere through migration. This paper provides a demographic history of the Indo-Dutch population, using a variety of data sources and methods. Starting from the population of ‘Europeans’ according to the 1930 census of the Dutch Indies, a demographic projection is made covering the period 1930–2001. By the beginning of 2001, the estimated number of Indo-Dutch persons is 582,000, including the second generation. Of these 582,000, an estimated 458,000 are living in the Netherlands and 124,000 elsewhere. The composition by age, sex and generation very clearly reflects the demographic history of the population.
January 2004
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23 Reads
January 2003
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327 Reads
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23 Citations
February 2001
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13 Reads
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62 Citations
Demographic Research
A particularly important struggle faced by demographic analysts is, how to arrive at statements about family formation processes from a cohort perspective from data that are essentially collected on an annual basis. The present paper is concerned with this struggle, mostly restricted to the case of fertility. The central question investigated here is: given observed period data, what can we conclude about the completed family size of real women? I review several existing methods to infer cohort fertility from period fertility measures. The conclusion is that, for each method, its justifiability can be verified only empirically: by looking at cohort fertility directly. To illustrate how this can be done, the paper analyses fertility data from a cohort perspective for two countries, Italy and the Netherlands.
January 2001
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1,810 Reads
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1 Citation
Population Research and Policy Review
Compared to other countries that have suffered from the Nazioccupation, the destructive impact of the Holocaust on theJewish population has been particularly strong in the Netherlands. This paper gives a demographicreconstruction of the Jewish population in the Netherlands by the end of the war (1945),disaggregated by age and sex. The reconstruction is based on two approaches: a forwardprojection 1941–1945, starting from registration data supplemented by information onHolocaust losses; and a backward projection 1966–1945, starting from an enumerationof Halachic Jews carried out in 1966. The two approaches yieldtwo estimates that are comfortingly similar.
January 2001
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4 Reads
September 2000
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128 Reads
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1 Citation
February 2000
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144 Reads
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224 Citations
Population and Development Review
In the article by Bongaarts and Feeney a modification of the conventional (period) total fertility rate (TFR) is proposed. This so-called tempo-adjusted TFR can be interpreted as the TFR that would have been observed in year t if the age pattern of fertility had been the same as in year t-1 that is as a measure of the pure quantum effect. This paper shows that the adjustment procedure is not in fact capable of isolating the pure quantum effect of year-to-year changes in fertility. It focuses on two points: 1) cohort-specific changes in timing are much more complex than Bongaarts and Feeney assume; and 2) the Bongaarts and Feeney method is based on unsuitable fertility measures. Overall it is shown that the Bongaarts and Feeney adjustment procedure has two major weaknesses. These include that the method is based on fertility measures unsuitable for the purpose of tempo adjustment and that the assumption underlying their method that period-by-period timing changes are independent of age and cohort is not supported by the data. A real solution will require more extensive data as well as additional methodological innovation.
... Les estimations utilisent le modèle de micro-simulation de l'Insee Destinie -dont on trouvera une présentation récente dans (Bardaji et al. 2004) -pour évaluer l'impact de l'allongement de la durée des études sur l'activité aux âges élevés ainsi que celui des réformes des systèmes de retraite de 1993 et 2003. Les méthodes de micro-simulation, qui construisent des trajectoires individuelles fondées sur l'estimation de très nombreux comportements (van Imhoff 1997, Duée 2005, sont utiles pour modéliser l'impact de changements en cours, comme c'est le cas dans la projection de population active présentée ici. Elles peuvent également servir à explorer des hypothèses alternatives, ou à réaliser les projections pour des populations spécifi ques, comme les populations dépendantes (Duée, Rebillard, 2006), ou les retraités pour décrire en détail les évolutions de leur niveau de vie (Bonnet et al., 2006 Les scénarios alternatifs s'appuient sur les aléas de la conjoncture économique, l'effet de fl exion encourageant l'activité, en cas de baisse du chômage, ou la décourageant en cas de hausse (Nauze-Fichet 2002). ...
April 1997
Population
... For example, past studies of family structure in high-income countries (HICs) highlight the importance of parental time, economic and social resources for child well-being [14,15], and familial stability [16] on health. Other studies show that households provide a physical place that supports childrearing, procreation, consumption and economic production [17][18][19]. Families and homes also provide resources to identify and manage child health [20,21]. ...
June 1996
Population and Development Review
... On the other hand, the United Nations, and much demographic literature, define a family as a group of related individuals sharing a household (Willekens 2009). Models for household demography describe transition among family types using multistate models and microsimulations (e.g., van Imhoff et al. 1995). ...
January 1995
... Le modèle probabiliste de survie proposé par le statisticien David Cox permet, par exemple, d'étudier les probabilités de survenue d'un événement à chaque instant du parcours de vie et selon plusieurs variables explicatives (Cox, 1972 ;Mills, 2011 ;Willekens, 2014). D'autres modèles statistiques vont rendre possible la mesure d'interactions entre les différents événements d'un parcours de vie ainsi que de l'influence des éléments de contexte, pour affiner la compréhension des causalités lorsqu'un événement se produit (Willekens, 1991(Willekens, , 1999Mulder, 1993 ;Courgeau, 2002). Enfin, des algorithmes, comme l'optimal matching, permettent de comparer entre elles les séquences constituées par les parcours de vie pour les comparer selon le nombre de changements survenus, leurs types ou encore leurs ordres d'apparition (Robette, 2009(Robette, , 2011Gabadinho et al., 2011). ...
January 1991
... The general answer to these questions has been known for many years, both in theory and from empirical studies (Lesthaeghe et al., 1988;Wattelar and Roumans, 1991;Blanchet, 1989;Calot, 1983;Kuijsten, 1995;van Imhoff and Keilman, 1996). The European Commission (1996) showed that to preserve the current PSR of the 15 EU countries would require 4.5m (net) immigrants per year by 2007, 7m net per year by 2024, and so on. ...
January 1995
... Specifically, we use the " Family interrelationship variables " of iPumS (Sobek and Kennedy 2009) to construct a new typology for classifying individuals in various household living arrangements. this classification was inspired by the original european liPRo typology developed by evert van imhoff to project (-PRo) individual living (li-) arrangements (van imhoff and Keilman 1991; van imhoff 1995). the liPRo typology has been used for multistate projections of household positions of individuals in belgium, the netherlands, and the united Kingdom (van imhoff 1995; Surkyn 1999; department for communities and local Government 2009), as well as more extensively for studying trends in national or regional subpopulations by socioeconomic and immigrant status (deboosere 1992; deboosere et al. 1997, 2009). ...
January 1995
... van Imhoff and Post 1997;Murphy 2003;Holm et al. 2006;Zaidi and Rake 2001;Morand et al. 2010;Ravulaparthy and Goulias 2011;Chingcuanco and Miller 2013). The principal difference between the different types of demographic model resides in the level of disaggregation used when applying probabilities. ...
July 1997
Population
... Moreover, each group is examined under two levels, or indicators, but the analysis does not rely on a multilevels method stricto sensu. (For details regarding this latter method, see, e.g., Goldstein, 1995;Courgeau, 1998). Table 2 displays the indicators of the shared values and shared means for each social group at each period, and reports the intra-group homogeneity index. ...
March 1998
... It includes all descendants through both male and female links. Thus, we had to go beyond vernacular categories to avoid the problems of genealogical research in demography (Bourdieu 1976;Post et al. 1997;Zhao 2001). The second author is a great-grandson of both these couples, so this was largely an exploration of his family's memory. ...
November 1997
Population Studies
... Application of age-and sex-specific participation rates, which vary over the regions and years, results in regional labour supply (by age and sex). These participation rates are equal to the existing DGVLAB labour supply scenarios (Van Dalen et al., 1999). Underlying these rates is a set of assumptions formalised in a parametric model that includes various determining variables. ...
August 1999
Demos (Mexico City, Mexico)