Advanced modernity in Europe is characterized by both looser community ties than in the past and greater flexibility of social integration. This results in a gradual diversification of individual family and professional trajectories and the social configurations in which they take place. Recent conceptual and methodological advances offer new possibilities for longitudinal analysis of life courses and social networks. These advances help to better understand the cumulative dynamics of the relationships between events and individual trajectory structures in a complex social positioning space, since the latter is approached in an intersectional perspective that takes into account social class and gender effects. It also makes it possible to measure the link between these trajectories and the representations that individuals make of themselves in such a context. The historical and political dimension of the modernization process makes sense in the light of comparisons between different cohorts and countries. Based on a sample of 800 people representative for French, German and Italian-speaking Switzerland - associated with identical collectives interviewed for the same purpose in Portugal and Finland - this project intends to reveal the mechanisms that underlie the production of identities and social positioning over time, depending on gender and cultural and social capital available in specific institutional and historical contexts.
Objectives: This project aims to advance knowledge in labour politics by focusing on the 'contentious politics of unemployment', i.e. the relationship between political institutional approaches to employment policy and political conflicts mobilized by collective actors over unemployment in the public domain. It is designed to study this topic at national, international comparative, and transnational levels. Key objectives: (a) to generate new data for longitudinal and comparative analyses of ideological and policy positions of actors and their relationships; (b) to study the potential for political participation 'from below' by citizens campaigning for the rights of the unemployed and the conditions under which existing organizational networks and policy dialogues transform in a more open civil policy deliberation; (c) to provide knowledge based on rigorous cross-national and EU-level transnational analyses allowing grounded empirical statements about the Europeanisation of the field. Description: As the contested and negotiated character of the employment policy field expresses itself both in the public domain and in the institutional arenas for interest mediation, we look both at political claim-making in the public space and policy deliberation within the polity. The overall design of the research has three main components: (a) mapping the field of political contention, i.e. structures of ideological cleavages and actor relationships, both longitudinally and cross-nationally; (b) examining the nature of the multi-organizational field extending from the core policy domain to the public domain, i.e. networks and channels of political influence between core policy actors and intermediary organizations, on one side, and civil society organizations and social movements representing the unemployed (including the unemployed themselves), on the other; (c) studying the nature of the interaction between EU-level and national policy-making by determining the channels of political influence that exist between European institutions and national policy domains in the field (the multi-level governance of employment policy), and examining to what extent there are new political opportunities for the bottom-up empowerment of citizens' organizations as a consequence of the emergence of the EU as an actor in the field. A new body of data will be generated which will allow for longitudinal (1990-2002) and comparative (F, D, I, S, CH, UK) analyses of ideological and policy positions of actors and their relationships in the unemployment issue-field. This will be backed up by interviews conducted with key actors in the organizational field (policy actors, employers associations, trade unions, parties, NGOs and social movements) both at the national and transnational levels. Innovative attempts will be made to establish networks and links between the involved actors as part of our dissemination strategy, which is key to the overall success of the project. Expected results: The success of this project is underwritten by the European dimension. It will provide the first systematic cross-national comparison of the contentious politics of unemployment based on original data. It has a high potential for being a path-breaking academic study in labour politics, social movements and Europe. The findings will feedback understanding to the actors in the field, facilitated through our dissemination strategy which aims to contribute toward a constructive social dialogue.
Objectives: This project aims to advance knowledge in labour politics by focusing on the 'contentious politics of unemployment', i.e. the relationship between political institutional approaches to employment policy and political conflicts mobilized by collective actors over unemployment in the public domain. It is designed to study this topic at national, international comparative, and transnational levels. Key objectives: (a) to generate new data for longitudinal and comparative analyses of ideological and policy positions of actors and their relationships; (b) to study the potential for political participation 'from below' by citizens campaigning for the rights of the unemployed and the conditions under which existing organizational networks and policy dialogues transform in a more open civil policy deliberation; (c) to provide knowledge based on rigorous cross-national and EU-level transnational analyses allowing grounded empirical statements about the Europeanisation of the field. Description: As the contested and negotiated character of the employment policy field expresses itself both in the public domain and in the institutional arenas for interest mediation, we look both at political claim-making in the public space and policy deliberation within the polity. The overall design of the research has three main components: (a) mapping the field of political contention, i.e. structures of ideological cleavages and actor relationships, both longitudinally and cross-nationally; (b) examining the nature of the multi-organizational field extending from the core policy domain to the public domain, i.e. networks and channels of political influence between core policy actors and intermediary organizations, on one side, and civil society organizations and social movements representing the unemployed (including the unemployed themselves), on the other; (c) studying the nature of the interaction between EU-level and national policy-making by determining the channels of political influence that exist between European institutions and national policy domains in the field (the multi-level governance of employment policy), and examining to what extent there are new political opportunities for the bottom-up empowerment of citizens' organizations as a consequence of the emergence of the EU as an actor in the field. A new body of data will be generated which will allow for longitudinal (1990-2002) and comparative (F, D, I, S, CH, UK) analyses of ideological and policy positions of actors and their relationships in the unemployment issue-field. This will be backed up by interviews conducted with key actors in the organizational field (policy actors, employers associations, trade unions, parties, NGOs and social movements) both at the national and transnational levels. Innovative attempts will be made to establish networks and links between the involved actors as part of our dissemination strategy, which is key to the overall success of the project. Expected results: The success of this project is underwritten by the European dimension. It will provide the first systematic cross-national comparison of the contentious politics of unemployment based on original data. It has a high potential for being a path-breaking academic study in labour politics, social movements and Europe. The findings will feedback understanding to the actors in the field, facilitated through our dissemination strategy which aims to contribute toward a constructive social dialogue.
This project aims to advance knowledge in labour politics by focusing on the 'contentious politics of unemployment', i.e. the relationship between political-institutional approaches to employment policy and political conflicts mobilized by collective actors over unemployment in the public domain. It is designed to study this topic at national, international comparative, and transnational levels. Key objectives: (a) to generate new data for longitudinal and comparative analyses of ideological and policy positions of actors and their relationships; (b) to study the potential for political participation 'from below' by citizens campaigning for the rights of the unemployed and the conditions under which existing organizational networks and policy dialogues transform in a more open civil policy deliberation; (c) to provide knowledge based on rigorous cross-national and EU-level transnational analyses allowing grounded empirical statements about the Europeanisation of the field.
As the contested and negotiated character of the employment policy field expresses itself both in the public domain and in the institutional arenas for interest mediation, we look both at political claim-making in the public space and policy deliberation within the polity. The overall design of the research has three main components: (a) mapping the field of political contention, i.e. structures of ideological cleavages and actor relationships, both longitudinally and cross-nationally; (b) examining the nature of the multi-organizational field extending from the core policy domain to the public domain, i.e. networks and channels of political influence between core policy actors and intermediary organizations, on one side, and civil society organizations and social movements representing the unemployed (including the unemployed themselves), on the other; (c) studying the nature of the interaction between EU-level and national policy-making by determining the channels of political influence that exist between European institutions and national policy domains in the field (the multi-level governance of employment policy), and examining to what extent there are new political opportunities for the bottom-up empowerment of citizens' organizations as a consequence of the emergence of the EU as an actor in the field. The body of data generated allows for longitudinal (1990-2002) and comparative (F, D, I, S, CH, UK) analyses of ideological and policy positions of actors and their relationships in the unemployment issue-field. It is backed up by interviews conducted with key actors in the organizational field (policy actors, employers associations, trade unions, parties, NGOs and social movements) both at the national and transnational levels. Innovative attempts are made to establish networks and links between the involved actors as part of our dissemination strategy, which is key to the overall success of the project.
This project aims to advance knowledge in labour politics by focusing on the 'contentious politics of unemployment', i.e. the relationship between political-institutional approaches to employment policy and political conflicts mobilized by collective actors over unemployment in the public domain. It is designed to study this topic at national, international comparative, and transnational levels. Key objectives: (a) to generate new data for longitudinal and comparative analyses of ideological and policy positions of actors and their relationships; (b) to study the potential for political participation 'from below' by citizens campaigning for the rights of the unemployed and the conditions under which existing organizational networks and policy dialogues transform in a more open civil policy deliberation; (c) to provide knowledge based on rigorous cross-national and EU-level transnational analyses allowing grounded empirical statements about the Europeanisation of the field.
As the contested and negotiated character of the employment policy field expresses itself both in the public domain and in the institutional arenas for interest mediation, we look both at political claim-making in the public space and policy deliberation within the polity. The overall design of the research has three main components: (a) mapping the field of political contention, i.e. structures of ideological cleavages and actor relationships, both longitudinally and cross-nationally; (b) examining the nature of the multi-organizational field extending from the core policy domain to the public domain, i.e. networks and channels of political influence between core policy actors and intermediary organizations, on one side, and civil society organizations and social movements representing the unemployed (including the unemployed themselves), on the other; (c) studying the nature of the interaction between EU-level and national policy-making by determining the channels of political influence that exist between European institutions and national policy domains in the field (the multi-level governance of employment policy), and examining to what extent there are new political opportunities for the bottom-up empowerment of citizens' organizations as a consequence of the emergence of the EU as an actor in the field. The body of data generated allows for longitudinal (1990-2002) and comparative (F, D, I, S, CH, UK) analyses of ideological and policy positions of actors and their relationships in the unemployment issue-field. It is backed up by interviews conducted with key actors in the organizational field (policy actors, employers associations, trade unions, parties, NGOs and social movements) both at the national and transnational levels. Innovative attempts are made to establish networks and links between the involved actors as part of our dissemination strategy, which is key to the overall success of the project.
The aim of the project is to clarify the relationship between social and political forms of civic involvement. Participation in clubs, associations, self-help groups, citizens' initiatives and organisations of all kinds is understood as a mechanism of social integration that is linked to other integration bodies - the family, work, the neighbourhood and the circles of friends - in mutual dependence. Political participation is considered the centerpiece of democratic integration. Traditional forms of political integration are in crisis. Decreasing participation in elections and votes as well as organisational problems of parties and other conventional interest groups (especially trade unions) can be observed in various countries, including Switzerland. Systematic-empirical comparative studies have shown, however, that despite these erosion phenomena liberal democracy is not fundamentally threatened in its existence. Alternative forms of political and social integration have gained in importance in the political process. New types of organisations such as informal networks, self-help groups, citizens' initiatives and unconventional forms of political participation have increased to such an extent that there is talk of a "participation boom" and a new "civil society solidarity". These two opposing trends, and in particular the uncertainty as to how they are to be interpreted, have led to a variety of social science debates: Communitarianism, for example, sees the family, the neighbourhood and non-governmental organizations as antipodes to the self-destructive forces released by liberalism and individualized claim thinking. With the radical changes in Eastern and Central Europe, the concept of civic society has once again gained in importance. This provides for a strong network of intermediary organisations, which mediates between the macro-level of the state and the economic structures and the micro-level of the individual, as a necessity for the establishment and consolidation of democratic systems. A third debate concerns the concept of social capital. This raises the question to what extent social trust and the ability and willingness to work in voluntary organisations determine the efficiency and effectiveness of democracies and economic growth. Despite the many debates, the connection between social and political forms of participation is still unclear: On the one hand, participation in the social sphere serves integration, the articulation and mediation of interests and is partly understood as a "school of democracy" - especially with regard to learning democratic decision-making on a small scale. On the other hand, social (or non-state) forms of organization can have anti-democratic effects - e.g. the "dark side" of social capital such as rigid social control, intolerance towards outsiders or corruption. Furthermore, social participation as an institutional reality can serve as a basis for recruiting and mobilising political participation, but it also takes up resources of time and energy, which can lead to the depoliticisation of committed individuals. Political commitment therefore also competes with other leisure activities - especially with regard to "voluntary" activities; politics as such loses relative importance for the individual engaged in the social sphere. With the help of a general population survey and an in-depth organisational study at local level, the political function of social participation is to be examined. This project forms the Swiss part of an international comparative study of the ESF network "Citizenship, Involvement, Democracy".
The research focuses on factors (internal and environmental) and processes that promote or support the aging person's independence, his/her physical and mental integrity, and his/her participation in society. It also analyzes the factors that hinder or undermine these aspects. This objective is pursued by means of a cross-sectional survey of a representative sample of the population aged 63 and over of two typical regions (Canton of Geneva and Central Valais) in 1979. The choice of the two survey regions was explains by the fact that they typologically constitute the two extremes of the range representing the diversity of the situations of the elderly in Switzerland. This cross-sectional survey is repeated in 1994 and completed by a longitudinal survey (1994-1999) on the cohort of 80-84 year-olds living at home at the time of the cross-sectional survey of 1994. This design makes a comparison possible of the evolution and changes of the aged condition over 15 years. The research is part of the theoretical perspective of the life course. A "horizontal" (class) social stratification articulates a "vertical" stratification, a social organization of life time, defining stages and transitions. The hypothesis is that the position occupied in the life course is a better indicator than age both in terms of defining situations and standard problems as in relation to the practices of aging people. The idea is to construct and validate a life course position indicator (LPI) combining the individual position in three dimensions: the health journey, the family trajectory, the professional trajectory. Through the results of the research, we want to contribute to a reflection on the ethical foundations of research in gerontology and a policy of old age, the definition of present and future needs of aging people, and to highlight possible linkages between the support provided by family or self-help networks, and various forms of institutional support.
The nuclear phasing out and promoted energy turnaround (Energiewende) could constitute a major driver for renewable energy projects. Increasing the share of renewable energy is seen as indispensable to solve the energy supply dilemma. This new orientation faces various challenges not only on a technical, but also on a political level. We argue that the governmental decision as such does not automatically induce energy turnaround. In order to make change happen, renewable energy projects and innovative policy instruments enhancing them have to be accepted and realized at the regional and local level. Economists typically argue that incentive based instruments (e.g., green taxes) linked to regulatory measures are most effective to limit energy use and to promote renewable energies (Thalmann 2004). But this type of proposals is particularly difficult to implement, given that political and institutional aspects (e.g., attitudes of political actors and voters, existing regulations on various levels especially regarding the grid) create "lock-in" situations that hinder the diffusion of renewable energy (Stadelmann-Steffen 2011; Knill & Lenschow 2005). Several regional and local initiatives explicitly promoting renewable energies have failed making for instance the typical dilemma between renewables and environmental protection evident. The overarching question arises as to how effective policy change towards renewable energy can be achieved. In this vein, we start with the idea that effective policy change leading to the realization of regional and local renewable energy projects can be determined by assessing different aspects of "social acceptance" (Wüstenhagen et al. 2007). We argue that – besides technology acceptance by the market – the acceptance of policies and instrument mixes is a crucial pre-condition for project success. So we concentrate on the acceptance of policies and instrument mixes (e.g., regulatory and incentive measures) by (1) the political elite involved in energy policy decision-making (socio-political acceptance) and by (2) citizens as expressed through their vote or other political intervention (community acceptance). Empirically, and via a comparative case study, social network analysis, and experimental survey design, we assess the promotion of alternative electricity from renewable sources (solar, wind, geothermal and small scale hydro power) and ask: 1. Where, when and why have renewable electricity projects failed or succeeded in the past? 2. What current policy drivers (e.g., public attention, actors' networks, pressure from landscape protection) impact the socio-political acceptance of innovative instrument mixes on the regional and local level? 3. How to conceive prospective policy designs and instrument mixes that enhance community acceptance and citizen's preferences in favor of regional and local renewable electricity projects?
The nuclear phasing out and promoted energy turnaround (Energiewende) could constitute a major driver for renewable energy projects. Increasing the share of renewable energy is seen as indispensable to solve the energy supply dilemma. This new orientation faces various challenges not only on a technical, but also on a political level. We argue that the governmental decision as such does not automatically induce energy turnaround. In order to make change happen, renewable energy projects and innovative policy instruments enhancing them have to be accepted and realized at the regional and local level. Economists typically argue that incentive based instruments (e.g., green taxes) linked to regulatory measures are most effective to limit energy use and to promote renewable energies (Thalmann 2004). But this type of proposals is particularly difficult to implement, given that political and institutional aspects (e.g., attitudes of political actors and voters, existing regulations on various levels especially regarding the grid) create "lock-in" situations that hinder the diffusion of renewable energy (Stadelmann-Steffen 2011; Knill & Lenschow 2005). Several regional and local initiatives explicitly promoting renewable energies have failed making for instance the typical dilemma between renewables and environmental protection evident. The overarching question arises as to how effective policy change towards renewable energy can be achieved. In this vein, we start with the idea that effective policy change leading to the realization of regional and local renewable energy projects can be determined by assessing different aspects of "social acceptance" (Wüstenhagen et al. 2007). We argue that – besides technology acceptance by the market – the acceptance of policies and instrument mixes is a crucial pre-condition for project success. So we concentrate on the acceptance of policies and instrument mixes (e.g., regulatory and incentive measures) by (1) the political elite involved in energy policy decision-making (socio-political acceptance) and by (2) citizens as expressed through their vote or other political intervention (community acceptance). Empirically, and via a comparative case study, social network analysis, and experimental survey design, we assess the promotion of alternative electricity from renewable sources (solar, wind, geothermal and small scale hydro power) and ask: 1. Where, when and why have renewable electricity projects failed or succeeded in the past? 2. What current policy drivers (e.g., public attention, actors' networks, pressure from landscape protection) impact the socio-political acceptance of innovative instrument mixes on the regional and local level? 3. How to conceive prospective policy designs and instrument mixes that enhance community acceptance and citizen's preferences in favor of regional and local renewable electricity projects?
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 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.