Data Bridging

¹ The Chapel Hill Expert Surveys include distinct polity identifiers that do not follow international standards. Merging CHES data by polity thus requires recoding CHES country identifiers to one of the CSES polity identifiers first. The example above suggests a recode of country to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

The Comparative Candidate Survey (CCS) is a joint multi-national project with the goal of collecting data on candidates running for national parliamentary elections in different countries using a common core questionnaire to allow for cross-country comparison. Data collection comprises surveys among candidates as well as relevant context information concerning the constituency of the candidate and the political system at large.

² The Comparative Candidate Surveys include distinct polity identifiers that do not follow international standards. Merging CCS data by polity thus requires recoding CCS T1 identifiers to one of the CSES polity identifiers first. The example above suggests a recode of T1 to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database expands its coverage to about 180 countries for 40 years, 1975–2017.

³ The Database of Political Institutions includes a polity identifier following the ISO 3166 alpha-3 standard (e.g. “AUS” for Australia or “PHL” for the Philippines). Merging DPI data to CSES by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004, E1004, and IMD1004.

In STATA, this can be achieved by the following syntax, as examplified for the CSES IMD:
generate ifs = substr(IMD1004,1,3)

⁴The Eurobarometer datasets include country identifiers following the ISO 3166 alpha-2 standard (i.e., “FR” for France or “PL” for Poland). Merging EB to CSES Standalone Modules thus requires recoding EB isocntry identifiers to one of the CSES polity identifiers first. The example above suggests a recode of isocntry to country names (D1006_NAM, E1006_NAM, IMD1006_NAM). The CSES IMD includes a polity identifier in the required standard, thus allowing for a direct merge.

⁵ The 2009 – 2019 European Election Voter Studies include polity identifiers following ISO 3166 numeric country codes (e.g. “276” for Germany or “840” for the United States), preceded by a “1”. Merging EES 2009 – 2019 data to CSES by polity is possible by extracting the last three characters of EES numeric polity identifiers.

⁶ The 2004 – 1989 European Election Voter Studies include distinct polity identifiers that do not follow international standards. Merging 1989 – 2004 EES standalone data by polity thus requires recoding EES country identifiers to one of the CSES polity identifiers first. The example above suggests a recode to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

⁷ The EES Trend File includes country names in captial letters as country identifiers (e.g. “DENMARK”, “LITHUANIA”). Merging the EES Trend file by polity requires recoding EES country names to the CSES Standard as applied in D1006_NAM, E1006_NAM, and IMD1006_NAM (e.g. “Denmark”, “Lithuania”).

⁸The European Social Surveys include country identifiers following the ISO 3166 alpha-2 standard (i.e., “FR” for France or “PL” for Poland). Merging ESS data to CSES Standalone Modules thus requires recoding ESS cntry identifiers to one of the CSES polity identifiers first. The example above suggests a recode of cntry to country names (D1006_NAM, E1006_NAM, IMD1006_NAM). The CSES IMD includes a polity identifier in the required standard, thus allowing for a direct merge.

⁹The inwyys variables refer to the year the interview started, instead of the election year.
10The inwyr variables refer to the year of interview instead of the election year.

¹¹ The year and S020 variables refer to the year of interview instead of the election year.

The Global Party Survey, 2019 (GPS) is an international scientific study designed to compare political parties around the world. Drawing on survey data gathered from 1,861 party and election experts, the study uses 21 core items to estimate key ideological values, issue positions, and populist rhetoric for 1,127 parties in 170 countries.

¹² The Global Party Survey includes a polity identifier following the ISO 3166 alpha-3 standard (e.g. “AUS” for Australia or “PHL” for the Philippines). Merging GPS data to CSES by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004, E1004, and IMD1004.
In STATA, this can be achieved by the following syntax, as examplified for the CSES IMD:
generate ISO = substr(IMD1004,1,3)

The ISSP is a cross-national collaboration programme conducting annual surveys on diverse topics relevant to social sciences. Established in 1984, the ISSP has since included members covering various cultures around the globe. Its institutional members consist of academic organizations, universities, or survey agencies.

¹³ The inwyr variables refer to the year of interview instead of the election year.
¹⁴ The 2002-2005 ISSP datasets include country identifiers following the ISO 3166 alpha-2 standard (i.e., “FR” for France or “PL” for Poland). Merging ISSP 2002-2005 data to CSES Standalone Modules thus requires recoding C_ALPHAN identifiers to one of the CSES polity identifiers first. The example above suggests a recode of cntry to country names (D1006_NAM, E1006_NAM, IMD1006_NAM). The CSES IMD includes a polity identifier in the required standard, thus allowing for a direct merge.

¹⁵ The LAPOP Surveys include distinct polity identifiers that do not follow international standards. Merging LAPOP data by polity thus requires recoding LAPOP pais identifiers to one of the CSES polity identifiers first. The example above suggests a recode of pais to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

¹⁶ The date variables included in the MARPOR/CMP data refer to the election date in the YYYYMM format (i.e. 201809 refering to a September 2018 election). Merging MARPOR/CMP data to CSES by date is possible by combining CSES variables including the Year Election Held (D5024_3, E5026_3, IMD5025_3) with Month Election Held (D5024_1, E5026_1, IMD5025_1).

¹⁷ The Mapping Policy Preferences I dataset includes a distinct polity identifier not following international standards. Merging MPP I data by polity thus requires recoding the COUNTRY identifier to one of the CSES polity identifiers first. The example above suggests a recode of pais to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

¹⁸ The EDATE variable included in the MARPOR/CMP data refer to the election date in the DD Mon YY format (i.e. 15 Sep 99 refering to an election held on September 15, 1999) . Merging MARPOR/CMP data to CSES by election date thus requires recoding EDATE to the CSES standard in D5024_, E5026_, or IMD5025_ first.

¹⁹ Datasets provided by the OECD include country names as polity identifiers (i.e., “France”, “Poland”). For merging OECD data to CSES, country names have to be harmonized for the following countries: South Korea (“Korea”), Slovakia (“Slovak Republic”) and Russia (“Russian Federation”).

ParlGov is a data infrastructure for political science and contains information for all EU and most OECD democracies (37 countries). The database combines approximately 1700 parties, 990 elections (9300 results), and 1600 cabinets (3800 parties).

²⁰ The Parliaments and Governments Database includes a polity identifier following the ISO 3166 alpha-3 standard (e.g. “”AUS”” for Australia or “”PHL”” for the Philippines). Merging ParlGov data to CSES by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004, E1004, and IMD1004.
In STATA, this can be achieved by the following syntax, as examplified for the CSES IMD:
generate country_name_short = substr(IMD1004,1,3)

²¹ The date variables included in ParlGov datasets refer to the election date in the YYYY-MM-DD format (i.e. 2018-09-15 refering to a September 15, 2018 election). Merging ParlGov data to CSES by date is possible by combining CSES variables including the Date Election Held (D5024_, E5026_, IMD5025_) into one variable.

Party Facts links datasets on political parties and provides an online platform about parties and their history as recorded in social science datasets.The goal is to provide a comprehensive database of political parties across time and world regions, link party information from some of the core social science data sets, and offer a platform to link political parties across data sets.

²² Partyfacts includes a polity identifier following the ISO 3166 alpha-3 standard (e.g. “AUS” for Australia or “PHL” for the Philippines). Merging Partyfacts data to CSES by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004, E1004, and IMD1004.
In STATA, this can be achieved by the following syntax, as examplified for the CSES IMD:
generate country = substr(IMD1004,1,3)

²³ The date variable included in the QoG 2015 Expert Survey (Individual Level) data refers to the day the expert submitted answers to the questionnaire. This date is provided in the DD Mon YY format (i.e. 15 Sep 15 refering to an election held on September 15, 2015) . QoG 2015 Expert Survey data to CSES by date thus requires recoding the date variable to the CSES standard first (i.e. by matching expert surveys to the election year, as suggested above).

²⁴ The QoG EQI Individual-Level Data include a distinct polity identifier not following international standards. Merging QoG EQI data by polity thus requires recoding the COUNTRY identifier to one of the CSES polity identifiers first. The example above suggests a recode of COUNTRY to country names (D1006_NAM, E1006_NAM, IMD1006_NAM).

Varieties of Democracy (V-Dem) employs and original approach to conceptualizing and measuring democracy. The project provides a multidimensional and disaggregated dataset that reflects the complexity of the concept of democracy as a system of rule that goes beyond the simple presence of elections.

²⁵ V-Dem includes a polity identifier following the ISO 3166 alpha-3 standard (e.g. “AUS” for Australia or “PHL” for the Philippines). Merging V-Dem data to CSES Standalone Modules by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004 and E1004.
In STATA, this can be achieved by the following syntax, as examplified for CSES Module 5:
generate country_text_id = substr(E1004,1,3)
The CSES IMD includes the polity identifier employed by V-Dem, thus allowing for a direct merge.

²⁶ World Bank polity identifiers follow the ISO 3166 alpha-3 standard (e.g. “AUS” for Australia or “PHL” for the Philippines). Merging World Bank data to CSES by polity is possible by extracting the first three characters of CSES alphabetic polity identifiers, provided in D1004, E1004 and IMD1004.
In STATA, this can be achieved by the following syntax, as examplified for CSES IMD:
generate Country_Code = substr(IMD1004,1,3)