Suchergebnisse

The database MOVE-SUF presents a macro-data-compilation of the MOVE project (macro-analysis in work-package 2) which has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 649263. The consortium of MOVE comprises nine partners in six countries: Luxembourg, Germany, Hungary, Norway, Romania, and Spain. The main objective of MOVE is to provide evidence-based knowledge on mobility of young people in Europe as a prerequisite to improve mobility conditions, and to identify fostering and hindering factors of mobility. The objective was followed by using a multilevel interdisciplinary research design, combining macro- and micro analysis with three empricial approaches.
The MOVE-SUF was compiled within the macro-analysis approach: "Sampling and secondary analyses of macro data of youth mobility in Europe and the partner countries" by the German Youth Institute. The MOVE-SUF served as basis for the secondary data-analyses within the MOVE project and is now published as open-access available dataset.
The MOVE-SUF is set up with data from all EU-28 and 3 EFTA countries (CH, IS, NO), with a total of 31 country-cases.
The MOVE-SUF covers a core period of 10 years (2004-2013). For some indicators data for 2014 can be provided additionally. For single variables data was not available for all years of the core period (the covered period for each variable can be seen in each variable name). If only yearly data for single countries was missing, the cells were left empty.
The MOVE-SUF is compiled only with comparable macro data derived from the following institutions: EUROSTAT, OECD, UN and World Bank. The Users Manual includes links to the data sources which provide additional information.

Contents of the dataset on country/macro level includes nine variables considering school and education system characteristics as well as country characteristics:
number of school types/tracks for 9th grade/15-year-olds; age at first selection; preschool obligation; compulsory school years/education years (with pre-primary school); government expenditure on education, total (% of GDP); mean years of schooling; Human Development Index (HDI); Gender Inequality Index (GII); women's share of seats in parliament (in %)

The data set contains information on 82 countries and regions that participated in the PISA study. Most of the data are for the school year period of 2017/18, however older and newer data is used as well if other sources were not available. The documents used to create the dataset (including European Commisssion, OECD, education ministries) can be found in the reference list in the excel file and can be requested from the author.

Monetary policy is generally regarded as a central element in the attempts of policy makers to attenuate business-cycle fluctuations. According to the New Keynesian paradigm, central banks are able to stimulate or depress aggregate demand in the short run by adjusting their nominal interest rate targets. The effects of interest rate changes on aggregate consumption, the largest component of aggregate demand, are well understood in the context of this paradigm, on which the canonical "workhorse'' model used in monetary policy analysis is grounded. A key feature of the model is that aggregate consumption is fully described by the amount of goods consumed by a representative household. A decline in the policy rate for instance implies that the real interest rate declines, the representative household saves less and hence increase its demand for consumption. At the same time, general equilibrium effects let labour income grow causing consumption to increase further. However, the mechanism outlined above ignores a considerable amount of empirically-observed heterogeneity among households. For example, households with a higher earnings elasticity to interest rate changes benefit more from a rate cut than those with a lower elasticity; households with large debt positions are at a relative advantage over households with large bond holdings; and households with low exposure to inflation are relatively better off than those holding a sizeable amount of nominal assets. As a result, the contribution to the aggregate consumption response differs substantially across households, implying that monetary expansions and tightenings produce relative "winners'' and relative "losers''.

The aim of the project laid out in this proposal is to give a disaggregated account of the heterogeneous effects of monetary-policy induced interest rate changes on household consumption and a detailed analysis of the channels underlying them. Additionally, it seeks to draw conclusions about the determinants of the strength of the transmission mechanism of monetary policy. To do so, it relies on a large panel comprising detailed data from the universe of all households residing in Norway between 1993 and 2015 supplemented with additional micro-data provided by the European Commission. I will be assisted by two project partners, Pascal Paul who is a member of the Research Department of the Federal Reserve Bank of San Francisco and Martin Holm who is affiliated with the Research Unit of Statistics Norway and the University of Oslo. In addition, I would like to collaborate with and help train a doctoral student based at the University of Lausanne on this project.

Existing empirical studies of the consumption response to monetary policy at the micro level rely on survey data. Therefore, they are subject to a number of severe data limitations. The surveys employed typically have either no or only a short panel dimension, suffer from attrition, include only limited information on income and wealth, are top-coded, and contain a significant amount of measurement error. The administrative data set provided to us by Statistics Norway suffers from none of these issues, implying that we are in a unique position to evaluate the household-level effects of policy rate changes. In a first step, we use forecasts published by the Norwegian central bank to derive monetary policy shocks that are robust to the simultaneity problem inherent in the identification of the effects of monetary policy following Romer and Romer (2004). We then confront the micro-data with the estimated shocks to study the consumption response along different segments of the income and wealth distribution and to test the importance of heterogeneity in labour earnings, financial income, liquid assets, inflation exposure and interest rate exposure among others. The findings will be of high relevance as they will not only allow us to evaluate channels hypothesised in the analytical literature, improve our understanding of the monetary policy transmission mechanism and its distributional consequences but also serve as a benchmark for structural models built both by theorists and practitioners.

Im Rahmen der sogenannten Borchardt – Kontroverse diskutieren Wirtschaftshistoriker seit nunmehr fast Jahrzehnten über die Ursachen der – verglichen mit der Zeit vor 1914 und jener nach 1945 – Stagnation der wirtschaftlichen Entwicklung in der Weimarer Republik. Ein besonders umstrittener Gegenstand dieser Debatte ist die geringe Investitionstätigkeit in der deutschen Wirtschaft schon vor dem Einsetzen der Weltwirtschaftskrise. In den 90er Jahren haben verschiedene Autoren versucht, die Bestimmungsfaktoren für das Investitionsverhalten auf ökonometrischem Wege zu bestimmen, wobei sich jedoch scheinbar nur schwer ein Konsens zwischen den empirischen Ergebnissen herstellen lässt. Die Arbeit von Björn Alecke gibt einen Überblick über die empirischen Beiträge zur Frage der Investitionsschwäche der Weimarer Republik und problematisiert im Einzelnen die methodische Vorgehensweise der bisherigen Forschung (Datenprobleme wie zu geringe Stichprobengrößen, Wahl eines dynamischen Regressionsmodells der Zeitreihenanalyse). Im ersten Teil wird insbesondere auf die Fragen der theoretischen Fundierung eingegangen und der Datenauswahl eingegangen, die sich allgemein beim Versuch ergeben, eine makroökonomische Investitionsfunktion für die Zwischenkriegszeit zu schätzen. Im zweiten Teil werden Fragen der empirischen Modellierung behandelt. Dabei werden insbesondere die Probleme behandelt, die sich mit der Verwendung von Zeitreihen in einer Regressionsanalyse für einen solch kurzen Zeitraum wie den der Zwischenkriegszeit ergeben.
"Ein offensichtliches Problem für die Schätzung einer Investitionsfunktion ergibt sich aus der geringen Zahl an Beobachtungen, welche für die Schätzung verwendet werden können.
"Wie die investitionstheoretische Diskussion gezeigt hat, werden für die Schätzung neben Daten über den Kapitalstock bzw. die Investitionen selbst, solche über Zinsen, Löhne, Gewinne und das Einkommen benötigt. Es gibt für jedoch die Periode der Zwischenkriegszeit keine einheitliche Datenquelle, aus denen man sich unumstritten bedienen könnte. Zahlreiche Daten der amtlichen Statistik über die wirtschaftliche Entwicklung sowie die in diesem Beitrag verwendeten Daten finden sich in übersichtlicher Form in "Konjunkturstatistisches Handbuch 1936, Hrsg. Institut für Konjunkturforschung (1935), Berlin. …Weitaus schwerwiegender mit Bezug auf die Schätzproblematik ist jedoch der Umstand, dass es sich bei den in der bisherigen Forschung verwendeten Daten um jährliche Werte handelt. Angesichts der kurzen Schätzperiode ergibt sich bestenfalls eine Stichprobe von 14 Werten, mit der eine sinnvolle Schätzung kaum realisierbar ist. Ein Ausweg aus diesem Dilemma bietet die Suche nach geeigneten Proxy-Variablen für die private Investitionstätigkeit. Für diesen Zweck lassen sich hier zwei auf monatlicher Basis vorhandene Indices anführen: Zum einen der Index der Investitionsgüterproduktion, sowie die Maschinenbestellungen des Inlandes" (Alecke, a. a. O., S. 120, S. 122). Ebenfalls auf monatlicher Basis der amtlichen Statistik zu entnehmen sind die Daten über die Zins-, Lohn- und Preisentwicklung. Wie jedoch auch für den Aktienindex fehlen aufgrund der Bankenkrise Werte für die Zinsentwicklung im Sommer 1931. Für den kurzfristigen Zinssatz (Privatdiskont) hat das Institut für Konjunkturforschung Interpolationen für die Monate Juli bis August 1931 vorgenommen.



Datentabellen in HISTAT (Thema: Wachstum, Konjunktur und Krisen):

A. Ausgewählte Daten aus der Forschungsliteratur:
A.01 Nettosozialprodukt zu Marktpreisen und seine Verwendungskomponenten, Index 1910-1913 =100 (1925-1930)
A.02 Zahlenangaben zu den Nettoinvestitionen und dem Kapitalstock nach W. G. Hoffmann (1925-1934)
A.03 Lohn- und Preisentwicklung, Monatsdaten nach G. Bry (1924-1934)

B. Daten aus dem Konjunkturstatistischen Handbuch 1936 (Hrsg. Ernst Wagemann):
B.01 Produktion von Investitionsgütern und Maschinenbestellungen, Monatsdaten (1924-1934)
B.02 Die Investitionen in der deutschen Volkswirtschaft, in Mill. Reichsmark (1924-1934)
B.03 Aktienindex, Rendite der Goldpfandbriefe und Privatdiskont, Monatsdaten (1925-1934)
B.04 Einkommen aus Lohn und Gehalt in Mill. Reichsmark, Quartalsdaten (1925-1934)

The datasets were created for a cross-national comparison of gigwork platform models in two sectors, ridehailing and food delivery and covers the two to four dominant platforms in these two sectors in 30 European countries (all EU member states, UK, Norway and Switzerland), the United States of America and Canada. The datasets contain factual information about these cases, collected via desk research and surveys during 2022 and stored in online questionnaires. The adjusted initial dataset (AID) contains the combined data from all of these online questionnaires. A formal case in the AID represents one completed online questionnaire containing data about one conceptual case, i.e. a platform, collected by one respondent. For analysis, data from the AID was collated into the final dataset (FD) where each formal case corresponds to a conceptual case, i.e. a platform. The FD contains factual information about the organization operating the platform, formal working conditions and other conditions for platform use.
The datasets were generated in the quantitative sub-project of the project "Does the Macro-level matter? A comparative analysis of institutional frameworks and gigwork platforms across EU-28 countries" (DFG project number 442171088). The project was part of the first phase of DGF priority program "The digitalization of working worlds" (SPP 2267, DFG project number 422743478).

Code/syntax is provided here for a thesis expected to be published in late 2023. The previous citation can be found in the field 'Publications' / 'Publikationen'.

Abstract of the thesis:
To date, gender inequalities persist and vary between countries, e.g., the gender gap in mathematics and reading competencies, indicating that school and education system characteristics affect gender inequalities. Previous research demonstrates that schools and education systems do vary between countries and indicates that gender-specific educational inequalities are less well researched. Educational inequalities lead to inequalities in living standards and expectations, e.g., health, income, and social participation. Therefore, my aim is to explain how education system and school characteristics affect the gender gap in mathematics and reading competencies.
To explain the effects of school and education system characteristics on gender inequalities, I adapt the macro-meso-micro model. At the micro level, I use theories, e.g., gender-specific socialization, highlighting how gender-specific expectations and stereotypes cause gendered interest and skills and therefore gender differences in mathematics and reading. Deriving a macro-meso-micro link, I explain how education system characteristics such as competition, differentiation, and standardization, and school characteristics, e.g., school time, retention rate, could increase or decrease the gender-specific socialization effects, leading to larger or smaller gender gaps in mathematics and reading competencies.
On this basis, I perform a cross-national comparison of 78 countries participating in the Programme for International Student Assessment (PISA) 2018, combined with further researched macro data (https://doi.org/10.7802/2605) with three-level mixed-effects models. The results show that boys have an advantage in mathematics, girls have an advantage in reading, the gender effects are slightly higher for reading, and the gender effects at the school level are more pronounced than those at the country level.
Furthermore, the considered school and education system characteristics differently affect the gender gaps in mathematics and reading competencies. The school characteristics of school time and retention rates and the education system characteristics of competition and compulsory schooling (partly) explain the gender gaps. Above-average school time affects the gender gaps in favor of girls, decreasing the gender gap in mathematics and increasing it in reading, while above-average competition and compulsory schooling affects the gender gaps in favor of boys, increasing the gender gap in mathematics and decreasing it in reading. Furthermore, schools with above-average retention rates decrease the gender gap in reading.

Deutsch:

Zusammenfassung: Bildungsvorstellungen im sozialen Wandel – eine Kohortenanalyse für die Bundesrepublik Deutschland in der Zeit von 1958 bis 2018
Ziel der vorliegenden Kohortenanalyse ist es, die frühere Studie von Meulemann (1982) über den Wandel von Bildungsvorstellungen in der Bevölkerung zu replizieren. Hierbei wird seine implizite These, die Bildungsexpansion seit den 1960er Jahren sei verantwortlich für den sozialen Wandel subjektiver Interpretationen sowohl von Bildungschancen als auch von Wert, Inhalt und Zielen der Bildung gewesen direkt überprüft. Dazu werden zwei Zeitdimensionen – historische Periode und Abfolge von Geburtskohorten – berücksichtigt und neben den ursprünglich verwendeten Datensätzen auch aktuelle Daten analysiert. Zudem werden zusätzliche erklärende Argumente eingeführt. Für einen Zeitraum von 60 Jahren werden periodenspezifische und kohortendifferenzierende Effekte der Bildungsexpansion auf die subjektive Wahrnehmung von Bildung aufgedeckt. Bildungschancen werden trotz gestiegener Bildungsgelegenheiten zunehmend kritischer von den jüngeren Kohorten beurteilt. Die meritokratischen Spielregeln werden weiterhin akzeptiert, jedoch bezweifeln jüngere Kohorten zunehmend, dass Bildung der Weg zum sozialen Aufstieg ist. Schließlich unterliegen auch die schulischen Erziehungsziele einem sukzessiven Wertewandel.

Schlüsselwörter: Bildungsvorstellungen, Meritokratie, Kohortenanalyse, Modernisierung, Wertewandel, Mikro-Makro-Design.




English:

Abstract: Changing beliefs about education – a cohort analysis for the Federal Republic of Germany from 1958-2018

This contribution aims to replicate an earlier study on changing perceptions of education across historical periods and birth cohorts by Meulemann (1982). To take a longer period of time into consideration, we additionally use recent survey data. These individual data are combined with macro data on the educational expansion and analysed using multivariate analysis. Controlling for effects of period and cohort, we test Meulemann's claim that the educational expansion since the 1960s was a main source of social change in regard to subjective interpretations of the value, content and goals of education. In addition, we test alternative theoretical arguments in our replication. We find significant cohort effects of the educational expansion on the change of educational beliefs. Despite increased educational opportunities, younger cohorts have an increasingly critical view on educational opportunities. The meritocratic principles continue to be accepted, however younger cohorts increasingly doubt that education enables upward mobility. We also find a gradual change in values and educational goals both across cohorts and even more so across periods.

Keywords: Educational perceptions; meritocracy; cohort analysis; modernization; change in values, micro-macro design.

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

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 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.