Mit dem Panel Arbeitsmarkt und soziale Sicherung (PASS) baut das IAB seit 2007 einen zentralen Datensatz für die Arbeitsmarkt-, Armuts- und SGB-II-Forschung in Deutschland auf. Befragt werden in jährlichem Rhythmus zum einen Haushalte, die Transferleistungen beziehen und zum anderen Haushalte der allgemeinen Wohnbevölkerung. In jedem dieser Haushalte wird zunächst mit einer Person ein Haushaltsinterview und anschließend mit jeder Person ab 15 Jahren ein Personeninterview geführt. Mit Hilfe des PASS können zentrale Forschungsfragen, wie beispielsweise die Dynamik des Bezugs von Arbeitslosengeld II sowie die Auswirkungen des Transferleistungsbezugs auf die wirtschaftliche und soziale Lage der betroffenen Haushalte und Personen untersucht werden. Aber auch über den Kernbereich Beschäftigung und Arbeitslosigkeit hinaus bietet das PASS ein breites Fragenspektrum, das z.B. auch zahlreiche soziodemographische Merkmale oder subjektive Indikatoren (wie Zufriedenheit, Ängste und Sorgen, Erwerbsorientierung) beinhaltet.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.
CSES Variable Table The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.
Themes:
MICRO-LEVEL DATA:
Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire.
Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country.
Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month.
DISTRICT-LEVEL DATA: number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district.
MACRO-LEVEL DATA: election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.
The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset. CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module. Themes: MICRO-LEVEL DATA: Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire. Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country. Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month. DISTRICT-LEVEL DATA: number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district. MACRO-LEVEL DATA: election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.
The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset. CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module. Themes: MICRO-LEVEL DATA: Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire. Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country. Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month. DISTRICT-LEVEL DATA: number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district. MACRO-LEVEL DATA: election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.
The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.
CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.
Themes:
MICRO-LEVEL DATA:
Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire.
Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country.
Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month.
DISTRICT-LEVEL DATA: number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district.
MACRO-LEVEL DATA: election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.
The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset. CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module. Themes: MICRO-LEVEL DATA: Identification and study administration variables: weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire. Demography: year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country. Survey variables: perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month. DISTRICT-LEVEL DATA: number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district. MACRO-LEVEL DATA: election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.
Für weitere Informationen zur Variablenliste siehe die Dokumentation (Codebook) des CSES Module 1-3 Harmonized Trend File. Informationen zum Inhalt können den Studiennummern ZA5179 CSES Module 1 Full Release, ZA5180 CSES Module 2 Full Release, und ZA5181 CSES Module 3 Full Release entnommen werden.
Update des Originaldatensatzes http://dx.doi.org/10.5684/soep.v28. In einigen Fällen wurden die Meldungen von einer zurückliegenden Scheidung nicht bei der Datengenerierung berücksichtigt. Darüber hinaus ist versehentlich zum Teil das angegebene Todesjahr eines ehemaligen Partners mit dem jeweils aktuellen Interviewjahr überschrieben worden. Dies beeinflusst nicht nur die Start- und Enddaten einiger Spells, sondern auch fehlende Informationen und Konsistenzprüfungen in den Datensätzen BIOCOUPLM, BIOCOUPLY, BIOMARSM, BIOMARSY. Das fehlerhafte Überschreiben von Daten bei der Generierung von BIOCOUPL$ beeinflusst die Konsistenzprüfungen im Datensatz $FAMSTD. Die Mehrzahl der zuvor fehlenden Informationen ist jetzt vorhanden. Allerdings ist stattdessen die Zahl der unplausiblen Antworten angewachsen.
Mit dem Panel Arbeitsmarkt und soziale Sicherung (PASS) baut das IAB seit 2007 einen zentralen Datensatz für die Arbeitsmarkt-, Armuts- und SGB-II-Forschung in Deutschland auf. Befragt werden in jährlichem Rhythmus zum einen Haushalte, die Transferleistungen beziehen und zum anderen Haushalte der allgemeinen Wohnbevölkerung. In jedem dieser Haushalte wird zunächst mit einer Person ein Haushaltsinterview und anschließend mit jeder Person ab 15 Jahren ein Personeninterview geführt. Mit Hilfe des PASS können zentrale Forschungsfragen, wie beispielsweise die Dynamik des Bezugs von Arbeitslosengeld II sowie die Auswirkungen des Transferleistungsbezugs auf die wirtschaftliche und soziale Lage der betroffenen Haushalte und Personen untersucht werden. Aber auch über den Kernbereich Beschäftigung und Arbeitslosigkeit hinaus bietet das PASS ein breites Fragenspektrum, das z.B. auch zahlreiche soziodemographische Merkmale oder subjektive Indikatoren (wie Zufriedenheit, Ängste und Sorgen, Erwerbsorientierung) beinhaltet.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Mit dem Panel Arbeitsmarkt und soziale Sicherung (PASS) baut das IAB seit 2007 einen zentralen Datensatz für die Arbeitsmarkt-, Armuts- und SGB-II-Forschung in Deutschland auf. Befragt werden in jährlichem Rhythmus zum einen Haushalte, die Transferleistungen beziehen und zum anderen Haushalte der allgemeinen Wohnbevölkerung. In jedem dieser Haushalte wird zunächst mit einer Person ein Haushaltsinterview und anschließend mit jeder Person ab 15 Jahren ein Personeninterview geführt. Mit Hilfe des PASS können zentrale Forschungsfragen, wie beispielsweise die Dynamik des Bezugs von Arbeitslosengeld II sowie die Auswirkungen des Transferleistungsbezugs auf die wirtschaftliche und soziale Lage der betroffenen Haushalte und Personen untersucht werden. Aber auch über den Kernbereich Beschäftigung und Arbeitslosigkeit hinaus bietet das PASS ein breites Fragenspektrum, das z.B. auch zahlreiche soziodemographische Merkmale oder subjektive Indikatoren (wie Zufriedenheit, Ängste und Sorgen, Erwerbsorientierung) beinhaltet.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Mit dem Panel Arbeitsmarkt und soziale Sicherung (PASS) baut das IAB seit 2007 einen zentralen Datensatz für die Arbeitsmarkt-, Armuts- und SGB-II-Forschung in Deutschland auf. Befragt werden in jährlichem Rhythmus zum einen Haushalte, die Transferleistungen beziehen und zum anderen Haushalte der allgemeinen Wohnbevölkerung. In jedem dieser Haushalte wird zunächst mit einer Person ein Haushaltsinterview und anschließend mit jeder Person ab 15 Jahren ein Personeninterview geführt. Mit Hilfe des PASS können zentrale Forschungsfragen, wie beispielsweise die Dynamik des Bezugs von Arbeitslosengeld II sowie die Auswirkungen des Transferleistungsbezugs auf die wirtschaftliche und soziale Lage der betroffenen Haushalte und Personen untersucht werden. Aber auch über den Kernbereich Beschäftigung und Arbeitslosigkeit hinaus bietet das PASS ein breites Fragenspektrum, das z.B. auch zahlreiche soziodemographische Merkmale oder subjektive Indikatoren (wie Zufriedenheit, Ängste und Sorgen, Erwerbsorientierung) beinhaltet.
Zugriffsoptionen:
Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
International Science Use Version der SOEP-Daten (95%-Version des Datensatzes http://dx.doi.org/10.5684/soep.v28.1). Dieser Datensatz ist zur weltweiten Nutzung freigegeben.
Mit dem Panel Arbeitsmarkt und soziale Sicherung (PASS) baut das IAB seit 2007 einen zentralen Datensatz für die Arbeitsmarkt-, Armuts- und SGB-II-Forschung in Deutschland auf. Befragt werden in jährlichem Rhythmus zum einen Haushalte, die Transferleistungen beziehen und zum anderen Haushalte der allgemeinen Wohnbevölkerung. In jedem dieser Haushalte wird zunächst mit einer Person ein Haushaltsinterview und anschließend mit jeder Person ab 15 Jahren ein Personeninterview geführt. Mit Hilfe des PASS können zentrale Forschungsfragen, wie beispielsweise die Dynamik des Bezugs von Arbeitslosengeld II sowie die Auswirkungen des Transferleistungsbezugs auf die wirtschaftliche und soziale Lage der betroffenen Haushalte und Personen untersucht werden. Aber auch über den Kernbereich Beschäftigung und Arbeitslosigkeit hinaus bietet das PASS ein breites Fragenspektrum, das z.B. auch zahlreiche soziodemographische Merkmale oder subjektive Indikatoren (wie Zufriedenheit, Ängste und Sorgen, Erwerbsorientierung) beinhaltet.
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Die folgenden Links führen aus den jeweiligen lokalen Bibliotheken zum Volltext:
Das Datenprodukt NEPS-SC6-ADIAB wird gemeinsam angeboten vom Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg, und dem Leibniz-Institut für Bildungsverläufe e.V. (LIfBi), Bamberg. NEPS-SC6-ADIAB setzt sich zusammen aus den Befragungs- und Testdaten der Erwachsenen-Startkohorte 6 "Bildung im Erwachsenenalter und lebenslanges Lernen" des Nationalen Bildungspanels (NEPS) sowie den administrativen Daten des IAB. Zur Stichprobe dieser Startkohorte gehören in Deutschland lebende Personen im Erwerbsalter (Geburtsjahrgänge 1956 bis 1986), die für die ALWA-Studie des IAB rekrutiert wurden, eine Auffrischungsstichprobe dieser Jahrgänge für das NEPS und eine Aufstockungsstichprobe der Geburtsjahrgänge 1944 bis 1955. Die Datenerhebung fand ab der zweiten Welle 2009/2010 im jährlichen Turnus statt. Allgemein zielt die NEPS-Studie darauf ab, Bildungsverläufe in verschiedenen Kontexten sowie die Entwicklung von Kompetenzen über den individuellen Lebensverlauf hinweg zu untersuchen. Dafür werden Daten zur Kompetenzentwicklung, zu Bildungsprozessen und Bildungsentscheidungen sowie zu Bildungsrenditen erhoben. Darüber hinaus verfügt das NEPS über ein breites Fragenspektrum, das insbesondere zahlreiche biografische und soziodemografische Merkmale beinhaltet. Mithilfe von NEPS-SC6-ADIAB können beispielsweise Forschungsfragen untersucht werden, für die sehr genaue Einkommensdaten im Lebensverlauf erforderlich sind. Weiterhin ist durch die Anreicherung der NEPS-SC6-Daten eine Erweiterung des Beobachtungszeitraums verbunden, da die administrativen Daten des IAB bis 1975 zurückreichen.
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The data product NEPS-SC1-ADIAB is provided cooperatively by the Institute for Employment Research (IAB), Nuremberg, and the Leibniz Institute for Educational Trajectories (LIfBi), Bamberg. NEPS-SC1-ADIAB consists of the survey and test data of Starting Cohort 1 - Newborns "Education from the very beginning" of the National Educational Panel Study (NEPS) and the administrative data of the IAB. The sample of this Starting Cohort includes children born in Germany between February 2012 and July 2012 and their families. The data collection took place on an annual basis from the second wave in 2013 onwards. The initial survey was conducted from August 2012 to March 2013. In general, NEPS aims to study educational trajectories as well as the development of competencies from the very beginning. For this, data are collected on competence development, educational processes as well as on early skills in the familial and non-familial context of the children. By interviewing one parent, the study contains comprehensive information about the parents, the children and their environment. In addition, NEPS asks a broad range of questions, especially on numerous biographical and socio-demographic characteristics. The NEPS-SC1-ADIAB can be used to investigate research questions that, for instance, require highly accurate income data over the life course. Furthermore, the enrichment of NEPS-SC1 data results in an extension of the observation period as the administrative data of the IAB date back to 1980.
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