Suchergebnisse

The European Union Statistics on Income and Living Conditions (EU-SILC) was first conducted in Germany in 2005 under the name "Live in Europe". For this survey, around 14.000 private households and the persons aged 16 and older living in them are interrogated on a voluntary basis.The emphasis of this survey is on personal and household income, living conditions of the household, health of the respondents, questions on childcare, on employment, and on the assessment of ones finalcial situation. In addition, there are survey emphases that change anually. The EU statistics on income and living conditions is designed as a rotating panel, so it allows for cross section as well as longitudinal section analyses.
The survey years are only processed up to 2013. If you are interested in using more up-to-date data, please consider using the Eurostat data supply. Further information on the method can also be found on the Eurostat homepage.

The European Union Statistics on Income and Living Conditions (EU-SILC) was first conducted in Germany in 2005 under the name "Live in Europe". For this survey, around 14.000 private households and the persons aged 16 and older living in them are interrogated on a voluntary basis.The emphasis of this survey is on personal and household income, living conditions of the household, health of the respondents, questions on childcare, on employment, and on the assessment of ones finalcial situation. In addition, there are survey emphases that change anually. The EU statistics on income and living conditions is designed as a rotating panel, so it allows for cross section as well as longitudinal section analyses.
The survey years are only processed up to 2013. If you are interested in using more up-to-date data, please consider using the Eurostat data supply. Further information on the method can also be found on the Eurostat homepage.

A growing body of literature confirms the existence of different social models, identified according to different combinations of policies and institutions. Knogler and Lankes aim to contribute to this literature by exploring characteristics of social policies in the enlarged European Union. The analysis is based on a set of social policy indicators with a focus on labour markets. By means of Principal Component Analysis they identify four major dimensions of social models. The dimensions are used as a basis for clustering countries into social models, which significantly differ from the commonly proposed regional classification of social models prior to enlargement.

The Kazakhstan Migration and Remittances Survey (KMRS) 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 KMRS 2010 was designed and implemented by the Institute for East- and Southeast European Studies Regensburg, Germany, in cooperation with the Center for Study of Public Opinion (CIOM) Almaty, Kazakhstan.

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.

The Parties' Immigration and Integration Positions Data Set (PImPo) includes data on parties' immigration and integration positions and saliency in 14 countries (Australia, Austria, Canada, Sweden, Denmark, Finland, Germany, Ireland, Netherlands, New Zealand, Norway, Spain, Switzerland, USA) between 1998 and 2013 based on crowd coding of parties' election manifestos. The data set entails variables on immigration and integration positions and saliency for each party in one election.
PImPo also gives data on the quasi-sentence level. Variables here include information on the topic of the quasi-sentence (immigration, integration, or none of both), the direction (supportive, sceptical, neutral), as well as information on agreement levels between crowd coders for each quasi-sentence. To make full use of this quasi-sentence level data, the original verbatim of each sentence can be added through a simple merge with the Manifesto Corpus (Lehmann, Pola / Matthieß, Theres / Merz, Nicolas / Regel, Sven / Werner, Annika (2015): Manifesto Corpus. Version: 20150708174629. Berlin: WZB Berlin Social Science Center.).
For detailed information on the dataset and its generation, please see Pola Lehmann, Malisa Zobel (2018): Positions and Saliency of Immigration in Party Manifestos. A Novel Data Set using Crowd Coding. European Journal for Political Research. Online First

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

Demography:
age; gender; education; marital status; union membership; union membership of others in household; current employment status; main occupation; employment type - public or private; industrial sector; occupation of chief wage earner and of spouse; household income; number of persons in household; number of children in household under the age of 18; attendance at religious services; religiosity; religious denomination; language usually spoken at home; race; ethnicity; region of residence; rural or urban residence

Survey variables:
respondent cast a ballot at the current and the previous election; respondent cast candidate preference vote at the previous election; satisfaction with the democratic process in the country; last election was conducted fairly; form of questionnaire (long or short); party identification; intensity of party identification; political parties care what people think; political parties are necessary; recall of candidates from the last election (name, gender and party); number of candidates correctly named; sympathy scale for selected parties and political leaders; assessment of the state of the economy in the country; assessment of economic development in the country; degree of improvement or deterioration of economy; politicians know what people think; contact with a member of parliament or congress during the past twelve months; attitude towards selected statements: it makes a difference who is in power and who people vote for; people express their political opinion; self-assessment on a left-right-scale; assessment of parties and political leaders on a left-right-scale; political information items

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:

founding year of parties; ideological families of parties; international organization the parties belong to; left-right position of parties assigned by experts; 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; electoral alliances permitted during the election campaign; existing electoral alliances; most salient factors in the election; head of state (regime type); if multiple rounds: selection of head of state; direct election of head of state and process of direct election; threshold for first-round victory; procedure for candidate selection at final round; simple majority or absolute majority for 2nd round victory; year of presidential election (before or after this legislative election); process if indirect election of head of state; head of government (president or prime minister); selection of prime minister; number of elected legislative chambers; for lower and upper houses was coded: number of electoral segments; number of primary districts; number of seats; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; compulsory voting; votes cast; voting procedure; electoral formula; party threshold; parties can run joint lists; requirements for joint party lists; possibility of apparentement; types of apparentement agreements; multi-party endorsements; multi-party endorsements on ballot; ally party support; constitutional prerogatives of the head of state; constitutional powers of prime minister; methods of cabinet dismissal; dissolution of legislature

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 Demography: age; gender; education; marital status; union membership; union membership of others in household; current employment status; main occupation; employment type - public or private; industrial sector; occupation of chief wage earner and of spouse; household income; number of persons in household; number of children in household under the age of 18; attendance at religious services; religiosity; religious denomination; language usually spoken at home; race; ethnicity; region of residence; rural or urban residence Survey variables: respondent cast a ballot at the current and the previous election; respondent cast candidate preference vote at the previous election; satisfaction with the democratic process in the country; last election was conducted fairly; form of questionnaire (long or short); party identification; intensity of party identification; political parties care what people think; political parties are necessary; recall of candidates from the last election (name, gender and party); number of candidates correctly named; sympathy scale for selected parties and political leaders; assessment of the state of the economy in the country; assessment of economic development in the country; degree of improvement or deterioration of economy; politicians know what people think; contact with a member of parliament or congress during the past twelve months; attitude towards selected statements: it makes a difference who is in power and who people vote for; people express their political opinion; self-assessment on a left-right-scale; assessment of parties and political leaders on a left-right-scale; political information items 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: founding year of parties; ideological families of parties; international organization the parties belong to; left-right position of parties assigned by experts; 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; electoral alliances permitted during the election campaign; existing electoral alliances; most salient factors in the election; head of state (regime type); if multiple rounds: selection of head of state; direct election of head of state and process of direct election; threshold for first-round victory; procedure for candidate selection at final round; simple majority or absolute majority for 2nd round victory; year of presidential election (before or after this legislative election); process if indirect election of head of state; head of government (president or prime minister); selection of prime minister; number of elected legislative chambers; for lower and upper houses was coded: number of electoral segments; number of primary districts; number of seats; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; compulsory voting; votes cast; voting procedure; electoral formula; party threshold; parties can run joint lists; requirements for joint party lists; possibility of apparentement; types of apparentement agreements; multi-party endorsements; multi-party endorsements on ballot; ally party support; constitutional prerogatives of the head of state; constitutional powers of prime minister; methods of cabinet dismissal; dissolution of legislature