Suchergebnisse

The Census Bureau Household Panel is a nationally-representative, address-based, probability-based internet panel (including non-internet households) designed to improve representativeness, significantly reduce burden on sampled households, and promote high-frequency data meeting the immediate needs of the government and public. The Panel facilitates near real-time analysis of national events that may impact social, economic, or demographic characteristics of the population. It supports research to improve surveys, including testing content changes, alternative methods for enhancing data with administrative and other data sources, and adaptive survey design procedures.

'In diesem Artikel werden Ausmaß und Selektivität der Panelattrition im Schweizer Haushalt Panel zwischen den Wellen zwei (2000) und sieben (2005) untersucht. Die Stichprobenbasis bilden die Teilnehmer der ersten Welle (1999). Nach einem Vergleich der Höhe und der Selektivität der Attrition mit anderen Haushaltpanels wird die Selektivität in zwei Schritten modelliert: zunächst durch Übergangsmodelle, in denen jeweils zwei aufeinanderfolgende Wellen verwendet werden, und schließlich durch ein Längsschnittmodell unter Verwendung aller Wellen. Letzteres enthält Wellendummies. Die Übergangsmodelle dienen dazu, Selektivität zu identifizieren und weiterzuverfolgen, d.h. zu erkennen, ob sich eine initiale Selektivität im Laufe der Zeit verstärkt oder ausgleicht. Mit dem Längsschnittmodell können spezifische Effekte von Kovariaten in einzelnen Wellen untersucht werden, wobei die Basisattrition kontrolliert wird. Insbesondere können die Auswirkungen einzelner Panelereignisse analysiert werden. Die Ergebnisse bestätigen bisherige Erkenntnisse aus der Literatur: Personen, die aus dem Panel aussteigen sind tendenziell jünger und männlich, Ausländer, mit geringem sozialen und politischen Interesse und Engagement, die mit verschiedenen Lebensaspekten Unzufriedenen, die in Haushalten mit hohem Unit-Nonresponse lebenden und diejenigen mit schlechterer Befragungsqualität. Dieses Muster bleibt im Lauf des Panels bestehen. Die hohe Attrition in zwei Panelwellen, die vermutlich von singulären Ereignissen herrühren, ist nicht übermäßig selektiv.' (Autorenreferat)

In this paper, we analyze magnitude and possible selectivity of attrition in first wave respondents in the Swiss Household Panel (SHP), from wave two (2000) through wave seven (2005). After comparing attrition of first wave respondents with that of other panel surveys, we proceed to model selectivity of attrition in two steps: we first build separate waveto- wave models, and second a longitudinal all-wave model. The latter model includes wave interaction effects. The first models allow for tracing of selectivity development, i.e. whether an initial selectivity might compensate or cumulates over time, the second to assessing the effects of the covariates in a specific wave, controlling for the base attrition effect. In particular it allows for the analysis of consequences due to discrete fieldwork events. Our results support the findings in the literature: attritors are in general the younger people and the males, foreigners, the socially and politically "excluded", i.e. those who show little social and political interest and participation, those who are mostly dissatisfied with various aspects in their life, and those who live in households with high unit nonresponse, and who exhibit a worse reporting behavior. This pattern is rather cumulative than compensating over panel waves. Excessive attrition in two waves presumably caused by two discrete events in the panel is not particularly selective. Still existing variation in selective attrition is worth to be further explored.

The extension of British Household Panel Survey (BHPS), a longitudinal study that measured adults' socioeconomic situations, work histories, demographics, & attitudes to determine how such measures influence participants' devolution, to include a greater number of Scottish individuals is discussed. It is contended that two factors contributed to increasing the number of Scottish participants in the BHPS -- the need to augment small sample sizes for Scottish individuals & the goal of facilitating comparisons of data for English & Scottish participants. Measures taken for augmenting the number of Scottish participants are described; it is emphasized that such steps paralleled those taken during the BHPS's initial stage. It is suggested that British & European researchers have failed to utilize the BHPS data because of the small Scottish sample. The need to establish a research center in Scotland as a means of ensuring the success of the BHPS's extension is expressed. 1 Table. J. W. Parker

The Tajikistan Household Panel Survey (THPS) data were collected in the framework of the research project "Migration and Remittances in Central Asia: The Case of Kazakhstan and Tajikistan", which was funded by the Volkswagen Foundation in 2009-2013. The THPS 2011 was initiated by the Institute for East- and Southeast European Studies Regensburg, Germany, to explore migration and remittances in Tajikistan. The study was implemented in cooperation with the SHARQ Research Center in Dushanbe, Tajikistan. The THPS 2011 was based on the Tajikistan Living Standards Measurement Survey (TLSS) administered by the World Bank and UNICEF in 2007 (wave 1) and 2009 (wave 2). These data generate a unique panel data base on migration and remittances in a developing country.

"This paper concentrates on the trends in peer-reviewed longitudinal panel studies under scientific direction. Household panel studies have succeeded in broadening their disciplinary scope. Numerous innovations such as questions dealing with psychological concepts, and age-specific topical modules, physical health measures, measures of cognitive capabilities, behavioral experiments have been incorporated into various panel studies or are soon to be introduced. In the UK, the household panel study Understanding Society comprising 40,000 households was launched in 2009 and recently added an "innovation sample"; in the Netherlands, the new LISS household panel study launched in 2006 with over 5,000 households will be used for the testing of innovative measurement methods. The microdata from household panel studies like PSID (US Household Panel Study), BHPS (the predecessor of UK HLS), HILDA (Australian Panel Study), and SOEP (German Socio-Economic Panel) are in continuously high demand by the research and policy advisory community. More important than "discovering" entirely new survey areas is "tailoring" the details of existing survey content to new, more specific (theoretical) questions, and thus maintaining proven and widely used elements of survey content. In the years to come, "tailoring" survey content will be the real challenge facing surveys that are integrated into the existing research infrastructure like HILDA, LISS, PSID, SHP (Swiss Panel), SOEP, and Understanding Society. We argue that, in the future, household panel studies should be designed to take the "margins" of the life course more fully into account. Indeed, household surveys are ideally suited to gather comprehensive data on these life phases. They can be improved, on the one hand, by including specific topics about the fetal phase of life and early childhood of children born into the panel, and on the other hand, by including better information about late life and death. In the middle of the life course, improved questions on income, savings, consumption, and wealth, as well as psychological constructs will play a central role, as will specific "event-triggered" questionnaires on central life occurrences such as marriage, divorce, and entry into and exit from unemployment. In order to substantially improve the statistical power of long-term longitudinal data, we propose an absolute minimum number of observations of about 500 persons per birth and age cohort. As of now, only the British Understanding Society will meet this target. A positive side-effect of such an enlargement is a significantly improved potential for analyses of relatively small groups within the population: for example, lone parents or specific immigrant groups. Another positive side-effect would be an improved potential for regional analyses. For example, in Germany, a cohort size of about 500 persons implies a survey sample size of about 20,000 households, which is large enough for analyses in the majority of federal states. Multidisciplinary panel studies will become even more important if they are accepted as reference datasets for specialized surveys that are independent of the original panel study (e.g., observational studies such as twin studies and laboratory or intervention studies). To enhance this important function, new types of service are needed, including advice on special surveys and possibly also data preparation for special surveys." (author's abstract)

Problèmes d'élaboration de l'enquête par panels des foyers britanniques. L'enquête par panels des foyers britanniques (British Household Panel Study - BHPS) est le plus grand projet qui ait été financé par l'"Economic and Social Research Council" (ESRC) britannique. Basée au "Centre on Micro-social Change in Britain" de l'ESRC à l'université d'Essex, la BHPS comprendra initialement 5.000 foyers et 10.000 individus. Cet article présente l'enquête à travers des aspects clefs de son élaboration et de son étendue. Une courte discussion des avantages des données d'enquêtte par panels est complétée par la présentation de trois exemples de problématique de recherche ot des données par panels peuvent aider à comprendre le changement micro-social. La BHPS est présentée comme une approche dynamique au changement social et sa base théorique micro-social. six aspects principaux de la BHPS sont décrits: organisation et dynamique du foyer; comportement et activité par rapport au marché du travail; dynamique de revenus et de patrimoine; logement; santé; et valeurs socioéconomiques. La dernière partie concerne trois problèmes clefs des enquêtes par panels et comment la BMPS les a abordés; il s'agit de: (1) changement des populations; (2) erreurs non-liées à l'échantillonnage (la non-résponse et le conditionnement de panels); et (3) élaboration de l'échantillon. L'article se termine avec une bibitographie étendue sur la méthodologie et l'élaboration des enquêttes par panels.