Schlagwort (Auswahl)
SSOAR Kategorien
- Familiensoziologie, Sexualsoziologie (1)
Arbeitsmarktforschung (4)
Erhebungstechniken und Analysetechniken der Sozialwissenschaften (4)
Lit@CEWS
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Employed or inactive? Cross-national differences in coding parental leave beneficiaries in European labour force survey data
Titelübersetzung:Beschäftigt oder nicht aktiv? Internationale Unterschiede beim Codieren von Elterngeldbeziehern in europäischen Umfrage-Daten zum Arbeitspotenzial
Quelle: Survey Research Methods, 7 (2013) 3, S 169-179
Details
Inhalt: 
"In survey research the parental leave beneficiaries are usually coded as either employed or inactive. An exception is the European Labor Force Survey (EU-LFS), which includes parental leave among other forms of being employed but temporarily not working. This paper explores classification of parental leave takers in EU-LFS. The authors show that classification rules differ cross-nationally: in some countries parental leave takers are considered inactive, in others - employed but temporarily not working. In particular in the Czech Republic, Estonia, Hungary and Slovakia the EU-LFS data classify the beneficiaries as inactive. The authors estimate the number of mothers on parental leave in these countries and show that EU-LFS employment rates of women aged 18-40 are biased downwards 2-7 percentage points; for mothers of children aged 0-2 the bias reaches 12-45 percentage points. Their study shows the limited comparability of EU-LFS employment rates and warns about possible bias in cross-national studies." (author's abstract)
"In survey research the parental leave beneficiaries are usually coded as either employed or inactive. An exception is the European Labor Force Survey (EU-LFS), which includes parental leave among other forms of being employed but temporarily not working. This paper explores classification of parental leave takers in EU-LFS. The authors show that classification rules differ cross-nationally: in some countries parental leave takers are considered inactive, in others - employed but temporarily not working. In particular in the Czech Republic, Estonia, Hungary and Slovakia the EU-LFS data classify the beneficiaries as inactive. The authors estimate the number of mothers on parental leave in these countries and show that EU-LFS employment rates of women aged 18-40 are biased downwards 2-7 percentage points; for mothers of children aged 0-2 the bias reaches 12-45 percentage points. Their study shows the limited comparability of EU-LFS employment rates and warns about possible bias in cross-national studies." (author's abstract)
Schlagwörter:parental leave; classification; Elternurlaub; Erwerbsbeteiligung; internationaler Vergleich; Klassifikation; labor force participation; international comparison; Mutterschaftsurlaub; error; maternity leave; Fehler
SSOAR Kategorie:Arbeitsmarktforschung, Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Verfügbarkeit:https://doi.org/10.18148/srm/2013.v7i3.5308
Dokumenttyp:Zeitschriftenaufsatz
A matched employer-employee panel data set for Austria: 2002-2005
Quelle: Rat für Sozial- und Wirtschaftsdaten (RatSWD); Berlin (RatSWD Working Paper Series, 206), 2012. 34 S
Details
Inhalt: 
"Verknüpfte Arbeitgeber-Arbeitnehmer (Panel-) Datensätze gewinnen in der Analyse von Arbeitsmärkten zunehmend an Bedeutung. In Zusammenarbeit mit Statistik Austria haben wir den Aufbau eines verknüpften Arbeitgeber-Arbeitnehmer Panel-Datensatzes für Österreich über die Jahre 2002 bis 2005 initiiert. Das Ziel dieses Artikels ist es, diesen Datensatz einem größeren Publikum gegenüber bekannt zu machen. Zunächst stellen wir dessen Aufbau vor, wobei wir explizit sowohl auf die zugrunde liegenden Datenquellen als auch die Verknüpfungsprozedur eingehen. In einem weiteren Schritt präsentieren wir deskriptive Statistiken der im Datensatz enthaltenen Kernvariablen. Zu diesem Zweck betrachten wir drei unterschiedliche Analyseebenen: die Stichprobe als Ganzes, die Firmenebene sowie das einzelne Individuum." (Autorenreferat)
"Verknüpfte Arbeitgeber-Arbeitnehmer (Panel-) Datensätze gewinnen in der Analyse von Arbeitsmärkten zunehmend an Bedeutung. In Zusammenarbeit mit Statistik Austria haben wir den Aufbau eines verknüpften Arbeitgeber-Arbeitnehmer Panel-Datensatzes für Österreich über die Jahre 2002 bis 2005 initiiert. Das Ziel dieses Artikels ist es, diesen Datensatz einem größeren Publikum gegenüber bekannt zu machen. Zunächst stellen wir dessen Aufbau vor, wobei wir explizit sowohl auf die zugrunde liegenden Datenquellen als auch die Verknüpfungsprozedur eingehen. In einem weiteren Schritt präsentieren wir deskriptive Statistiken der im Datensatz enthaltenen Kernvariablen. Zu diesem Zweck betrachten wir drei unterschiedliche Analyseebenen: die Stichprobe als Ganzes, die Firmenebene sowie das einzelne Individuum." (Autorenreferat)
Inhalt: "Matched employer-employee (panel) data sets are gaining increasing importance in the analysis of labour markets. In collaboration with Statistics Austria we recently initiated the set up of a matched employer-employee panel data set for Austria, which covers the years 2002-2005. The aim of the paper is to introduce the data set to a broader audience. We first present the set up of the panel data, indicating in more detail the data sources and matching procedure underlying the matched employer-employee data set for Austria. In a second step we show descriptive statistics of the main variables included in our data set. These various statistics encompass three levels of analysis: the aggregate level (i.e. the entire sample), firm level and individual (employee) level." (author's abstract)
"Matched employer-employee (panel) data sets are gaining increasing importance in the analysis of labour markets. In collaboration with Statistics Austria we recently initiated the set up of a matched employer-employee panel data set for Austria, which covers the years 2002-2005. The aim of the paper is to introduce the data set to a broader audience. We first present the set up of the panel data, indicating in more detail the data sources and matching procedure underlying the matched employer-employee data set for Austria. In a second step we show descriptive statistics of the main variables included in our data set. These various statistics encompass three levels of analysis: the aggregate level (i.e. the entire sample), firm level and individual (employee) level." (author's abstract)
Schlagwörter:Arbeitsmarkt; labor market; Arbeitnehmer; employee; Arbeitgeber; employer; Österreich; Austria; statistische Analyse; statistical analysis; Produktivität; productivity; Altersstruktur; age structure; Daten; data; soziale Sicherung; social security; sozialer Status; social status; Unternehmensgröße; size of enterprise; gender; Beruf; occupation; Teilzeitarbeit; part-time work; Staatsangehörigkeit; citizenship; Panel; panel; Wirtschaftsstruktur; economic structure; Lohnsteuer; withholding tax
SSOAR Kategorie:Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Arbeitsmarktforschung
Verfügbarkeit:http://www.ssoar.info/ssoar/handle/document/42256
Dokumenttyp:Graue Literatur, Bericht
Work and Family: An Exercise in Mixed Methodology
Titelübersetzung:Arbeit und Familie: eine Mixed-Methods-Anwendung
Quelle: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 9 (2008) 1, 9 S
Details
Inhalt: Um die Bedeutsamkeit von Mixed-Methods-Ansätzen zu verdeutlichen, greifen wir auf eine eigene Untersuchung zurück, in die verschiedene Datenquellen eingegangen sind, die üblicherweise einem eher qualitativen und einem eher quantitativen Forschungsstil zugeordnet werden. Wir entschieden uns damit bewusst für eine andere Herangehensweise als die traditionell, zumindest in Mexiko, zur Untersuchung von Arbeit übliche: anstelle der Hauptbezugnahme auf statistische Daten analysierten wir zunächst qualitatives Datenmaterial zu einer Gruppe mexikanischer städtischer Mittelschichtfrauen. Zur Integration der unterschiedlichen Datenquellen konstruierten wir eine Typologie mittels quantitativer Daten, die zuvor in der qualitativen Studie erarbeitet worden war und die es erlaubte, Bezüge zwischen vier Verlaufskurven (Schule, Arbeit, Heirat, Kindererziehung) zu verdeutlichen.
Um die Bedeutsamkeit von Mixed-Methods-Ansätzen zu verdeutlichen, greifen wir auf eine eigene Untersuchung zurück, in die verschiedene Datenquellen eingegangen sind, die üblicherweise einem eher qualitativen und einem eher quantitativen Forschungsstil zugeordnet werden. Wir entschieden uns damit bewusst für eine andere Herangehensweise als die traditionell, zumindest in Mexiko, zur Untersuchung von Arbeit übliche: anstelle der Hauptbezugnahme auf statistische Daten analysierten wir zunächst qualitatives Datenmaterial zu einer Gruppe mexikanischer städtischer Mittelschichtfrauen. Zur Integration der unterschiedlichen Datenquellen konstruierten wir eine Typologie mittels quantitativer Daten, die zuvor in der qualitativen Studie erarbeitet worden war und die es erlaubte, Bezüge zwischen vier Verlaufskurven (Schule, Arbeit, Heirat, Kindererziehung) zu verdeutlichen.
Inhalt: In order to present an exercise showing the importance of mixed methodology, this paper offers an exploratory approach to the simultaneous use of data sources clearly identified with qualitative and quantitative research styles. In doing so we took as a starting point a different platform than the one traditionally used in the field of labor studies, at least in Mexico. Instead of having as a main frame of reference a statistical database, we first analyzed qualitative information on a group of Mexican urban, middle-class women. One of the means we have found of linking the two sources has been to construct a typology—with quantitative data and similar to one previously elaborated in a qualitative study—to describe the possible links between four life trajectories (school, work, marriage and child-bearing). Combining a quantitative analysis with the results of a previous qualitative study was precisely what made it possible to both enrich and reinforce the proposal of the existence of diversity within homogeneity.
In order to present an exercise showing the importance of mixed methodology, this paper offers an exploratory approach to the simultaneous use of data sources clearly identified with qualitative and quantitative research styles. In doing so we took as a starting point a different platform than the one traditionally used in the field of labor studies, at least in Mexico. Instead of having as a main frame of reference a statistical database, we first analyzed qualitative information on a group of Mexican urban, middle-class women. One of the means we have found of linking the two sources has been to construct a typology—with quantitative data and similar to one previously elaborated in a qualitative study—to describe the possible links between four life trajectories (school, work, marriage and child-bearing). Combining a quantitative analysis with the results of a previous qualitative study was precisely what made it possible to both enrich and reinforce the proposal of the existence of diversity within homogeneity.
Schlagwörter:urban population; quantitative Methode; Mexiko; Latin America; Mittelschicht; quantitative method; Ehefrau; Familie-Beruf; work-family balance; Mutter; Central America; berufstätige Frau; Mexico; empirische Sozialforschung; Stadtbevölkerung; middle class; life career; mother; qualitative method; working woman; empirical social research; Mittelamerika; typology; woman; research approach; Forschungsansatz; wife; qualitative Methode; Entwicklungsland; Typologie; Lebenslauf; developing country; Lateinamerika; mixed methodology; life trajectories; typology; middle-class women; Mixed Methods; Verlaufskurven; Mittelschichtfrauen
SSOAR Kategorie:Arbeitsmarktforschung, Erhebungstechniken und Analysetechniken der Sozialwissenschaften, Familiensoziologie, Sexualsoziologie
Dokumenttyp:Zeitschriftenaufsatz
Constructing the composite indicator "quality of work" from the third European survey on working conditions
Titelübersetzung:Zur Konstruktion des zusammengesetzten Indikators "Arbeitsqualität" aus der dritten europäischen Studie über Arbeitsbedingungen
Quelle: Wirtschafts- und Sozialwissenschaftliches Institut in der Hans-Böckler-Stiftung; Düsseldorf (WSI-Diskussionspapier, 132), 2004. 73 S
Details
Inhalt: "The composite indicator 'Quality of work' for comparing European countries is constructed from data of the Third European Survey on Working Conditions. The main findings are as follows: (a) European countries differ with respect to working conditions statistically more significantly than with respect to earnings; it implies a quite accurate discrimination threshold in ranking countries with respect to quality of work, (b) working conditions and earnings positively depend over the whole of Europe but little correlate within single countries; it indicates at the prevailing role of national determinants over professional or social specificities as contributing to the average quality of work, (c) earnings play no role in subjective satisfaction from work which exclusively depends on working conditions; consequently, more attention should be paid to improving the latter, (d) working conditions of women are significantly better than that of men, which is explained by their inclination to service occupations. Processing ordinal rather than metrical data requires an addendum to the methodology of composite indicators. The corresponding mathematical model is proposed." (author's abstract)
"The composite indicator 'Quality of work' for comparing European countries is constructed from data of the Third European Survey on Working Conditions. The main findings are as follows: (a) European countries differ with respect to working conditions statistically more significantly than with respect to earnings; it implies a quite accurate discrimination threshold in ranking countries with respect to quality of work, (b) working conditions and earnings positively depend over the whole of Europe but little correlate within single countries; it indicates at the prevailing role of national determinants over professional or social specificities as contributing to the average quality of work, (c) earnings play no role in subjective satisfaction from work which exclusively depends on working conditions; consequently, more attention should be paid to improving the latter, (d) working conditions of women are significantly better than that of men, which is explained by their inclination to service occupations. Processing ordinal rather than metrical data requires an addendum to the methodology of composite indicators. The corresponding mathematical model is proposed." (author's abstract)
Schlagwörter:quality; EU; income; Arbeit; international comparison; work satisfaction; Qualität; working conditions; Einkommen; internationaler Vergleich; Arbeitsbedingungen; Indikatorenbildung; construction of indicators; Arbeitszufriedenheit; labor; gender-specific factors; EU
SSOAR Kategorie:Arbeitsmarktforschung, Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Verfügbarkeit:http://www.boeckler.de/pdf/p_wsi_diskp_132.pdf
Dokumenttyp:Graue Literatur, Bericht
