Data Bridging

Data Bridging enables users to bring together information from CSES with other data sources. The concept is part of CSES Data Linkage efforts, which are explained more here. CSES data products enable data bridging by including standard identifiers at the polity, year, and party level used by other projects to facilitate the merging of CSES data with other prominent datasets in political science. Taking what the data linkage literature describes as a deterministic approach, CSES incorporates consistent and internationally recognized identifiers within its data products to ensure exact matches between records at the polity, year, and party level. With the inclusion of these common and persistent identifiers, the challenge of linking CSES data with other data sources becomes straightforward.

Why facilitate Data Bridging?
Combining multiple sources of data for scientific analysis is becoming more common in social sciences, and thus there is a more significant market for data linkage. By facilitating data bridging, CSES enhances its versatility as a social science dataset, reduces user efforts in data acquisition, and provides users with maximum flexibility, a fundamental CSES principle. Moreover, facilitating data bridging enhances data integrity and quality, allows for re-use of existing data sources for new studies, fosters potential fresh avenues of research, and ensures that replicability, gold standard academic research, is improved.
How to locate a Data Bridging Identifier in CSES data products?

Below, CSES provides a list of the leading major comparative social products. Clicking on the name of the project provides a brief description of it. Below the description, CSES provides a list of each project’s products and the bridging variable identifier(s) within CSES data products that enable CSES data to be linked to the said product by polity, time, or party (if applicable).
Variables which facilitate data bridging in CSES IMD are can be located in the CSES IMD Codebook by searching for the following terms in the CSES IMD Codebook Part 2:

  • POTENTIAL POLITY LEVEL BRIDGING IDENTIFIER
  • POTENTIAL REGIONAL LEVEL BRIDGING IDENTIFIER
  • POTENTIAL TIME BRIDGING IDENTIFIER
  • POTENTIAL PARTY/COALITION BRIDGING IDENTIFIER
Facilitating Data Bridging with CSES and other data products

CSES provides two examples illustrating how CSES data can be bridged with other common data sources using the statistical program STATA to assist users (the syntax is provided as a .txt file but can be copy and pasted into a STATA .do file). For non-users of STATA, the file can be opened up in a Text Editor like TextPad, NotePad, or SublimeText. The first type of syntax, which comes in two different files, a light version with merely the commands and a comprehensive version with detailed instructions, shows how CSES data can be bridged at the polity level with data from the V-Dem. The second type of syntax shows how CSES data can be bridged at the party level with MARPOR/CMP data. It also comes in a light and comprehensive format, the former for experienced users and the latter for users who prefer a step-by-step guide to data bridging.

 

CHAPEL HILL EXPERT SURVEY (CHES)
The Chapel Hill expert surveys estimate party positioning on European integration, ideology and policy issues for national parties in a variety of European countries. The number of countries increased from 14 Western European countries in 1999 to 24 current or prospective EU members in 2006 to 31 countries in 2014. In this time, the number of national parties grew from 143 to 268.

CHES productIdentifier in CHES productCorresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
CHES 2019country1 D1006_NAME1006_NAMIMD1006_NAM
CHES 2017 Flashcountry1 D1006_NAME1006_NAMIMD1006_NAM
CHES 2010 & 2014country1 D1006_NAME1006_NAMIMD1006_NAM
CHES 2006 & 2007country1 D1006_NAME1006_NAMIMD1006_NAM
CHES 2002country1 D1006_NAME1006_NAMIMD1006_NAM
CHES 1999 country1 D1006_NAME1006_NAMIMD1006_NAM
Ray-Marks-Steenbergen Surveycountry1 D1006_NAME1006_NAMIMD1006_NAM
CHES 1999-2014 Trend Filecountry1 D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
CHES 2019N/AN/AN/AN/A
CHES 2017 FlashyearD1008E1008IMD1008_YEAR
CHES 2010 & 2014N/AN/AN/AN/A
CHES 2006 & 2007yearD1008E1008IMD1008_YEAR
CHES 2002yearD1008E1008IMD1008_YEAR
CHES 1999 yearD1008E1008IMD1008_YEAR
Ray-Marks-Steenbergen SurveyyearD1008E1008IMD1008_YEAR
CHES 1999-2014 Trend FileyearD1008E1008IMD1008_YEAR
DATA BRIDGING BY PARTY
CHES 2019party_idN/AN/AIMD5102_A - I
CHES 2017 Flashparty_idN/AN/AIMD5102_A - I
CHES 2010 & 2014party_idN/AN/AIMD5102_A - I
CHES 2006 & 2007party_idN/AN/AIMD5102_A - I
CHES 2002part_idN/AN/AIMD5102_A - I
CHES 1999 party_idN/AN/AIMD5102_A - I
Ray-Marks-Steenbergen Surveyparty_idN/AN/AIMD5102_A - I
CHES 1999-2014 Trend Fileparty_idN/AN/AIMD5102_A - I

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).

COMPARATIVE CANDIDATE SURVEY (CCS)

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.

CCS productIdentifier in
CCS product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
Module II (2013 - 2018)T12D1006_NAME1006_NAMIMD1006_NAM
Module I (2005 - 2013)T12D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
Module II (2013 - 2018)T3D1008E1008IMD1008_YEAR
Module I (2005 - 2013)T3D1008E1008IMD1008_YEAR

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 (DPI)

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.

DPI productIdentifier in
DPI product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
DPI 2017ifs3D1004E1004IMD1004
DATA BRIDGING BY TIME
DPI 2017yearD1008E1008IMD1008_YEAR

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)

EUROBAROMETER (EB)
Since the early seventies the European Commission’s Standard Eurobarometer are regularly monitoring the public opinion in the European Union member countries. Interviews are conducted face-to-face, in each spring and each autumn (“repeated cross-section” design). The standard modules ask for attitudes towards European unification, institutions and policies, complemented by measurements for general socio-political orientations, as well as by respondent and household demographics.

EB productIdentifier in
EB product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
Standard EB Autum 2011 and laterisocntry4D1006_NAME1006_NAMIMD1006_UNAlpha2

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.

EUROPEAN ELECTION STUDIES (EES)
The European Election Studies (EES) are about electoral participation and voting behaviour in European Parliament elections, but more than that. They are also concerned with the evolution of an EU political community and a European public sphere, with citizens’ perceptions of and preferences about the EU political regime, and with their evaluations of EU political performance.

EES productIdentifier in
EES product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
2014 & 2019 Voter Studies countrycode5D1006_UNE1006_UNIMD1006_UN
2009 Voter Studyt1025D1006_UNE1006_UNIMD1006_UN
2004 Voter Studycountry6D1006_NAME1006_NAMIMD1006_NAM
1999 Voter Studyvar0026D1006_NAME1006_NAMIMD1006_NAM
1994 Voter Studycountry6D1006_NAME1006_NAMIMD1006_NAM
1989 Voter Studyvar0036D1006_NAME1006_NAMIMD1006_NAM
EES Trend File (1989 - 2004)t_cntry7D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
2014 & 2019 Voter Studies N/AN/AN/AN/A
2009 Voter StudyN/AN/AN/AN/A
2004 Voter StudyN/AN/AN/AN/A
1999 Voter StudyN/AN/AN/AN/A
1994 Voter StudyN/AN/AN/AN/A
1989 Voter StudyN/AN/AN/AN/A
EES Trend File (1989 - 2004)t_eesD1008E1008IMD1008_YEAR

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”).

EUROPEAN SOCIAL SURVEY (ESS)
The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted across Europe since its establishment in 2001. Every two years, face-to-face interviews are conducted with newly selected, cross-sectional samples. The survey measures the attitudes, beliefs and behaviour patterns of diverse populations in more than thirty nations.

ESS productIdentifier in
ESS product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
ESS Round 3-9cntry8D1006_NAME1006_NAMIMD1006_UNAlpha2
ESS Round 1-2cntry8D1006_NAME1006_NAMIMD1006_UNAlpha2
Cumulativecntry8D1006_NAME1006_NAMIMD1006_UNAlpha2
Multilevelcntry8D1006_NAME1006_NAMIMD1006_UNAlpha2
DATA BRIDGING BY TIME
ESS Round 3-9inwyys9D1008E1008IMD1008_YEAR
ESS Round 1-2inwyr10D1008E1008IMD1008_YEAR
Cumulativeinwyys9 / inwyr10D1008E1008IMD1008_YEAR
Multilevelinwyys9 / inwyr10D1008E1008IMD1008_YEAR

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.

EUROPEAN VALUES STUDY (EVS)
The European Values Study is a large-scale, cross-national, and longitudinal survey research program on basic human values. It provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. It is a unique research project on how Europeans think about life, family, work, religion, politics, and society.

EVS productIdentifier in
EVS product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
EVS Waves 1-5countryD1006_UNE1006_UNIMD1006_UN
Longitudinal Data File (EVS 1981 - 2008)S003D1006_UNE1006_UNIMD1006_UN
DATA BRIDGING BY TIME
EVS Waves 1-5year11D1008E1008IMD1008_YEAR
Longitudinal Data File (EVS 1981 - 2008)S02011D1008E1008IMD1008_YEAR

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

GLOBAL PARTY SURVEY (GPS)

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.

GPS productIdentifier in
GPS product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
GPS 2019ISO12D1004E1004IMD1004
DATA BRIDGING BY PARTY
GPS 2019ID_PartyFacts
ID_CMP
D5200_A-IE5200_A-IIMD5103_A-I

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)

INTERNATIONAL SOCIAL SURVEY PROGRAMME (ISSP)

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.

ISSP productIdentifier in
ISSP product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
ISSP 2015-2018countryD1006_UNE1006_UNIMD1006_UN
ISSP 2011-2014V4D1006_UNE1006_UNIMD1006_UN
ISP 2010countryD1006_UNE1006_UNIMD1006_UN
ISSP 2007-2009V5D1006_UNE1006_UNIMD1006_UN
ISP 2006V3aD1006_UNE1006_UNIMD1006_UN
ISP 2002-2005C_ALPHAN14D1006_NAMD1006_NAMIMD1006_UNAlpha2
ISSP National Identity I-IIICOUNTRYD1006_UNE1006_UNIMD1006_UN
ISSP Religion I - IIIV6D1006_UNE1006_UNIMD1006_UN
ISSP Role of Government I - IVV6D1006_UNE1006_UNIMD1006_UN
ISSP Social Inequality I - IVV5D1006_UNE1006_UNIMD1006_UN
DATA BRIDGING BY TIME
ISSP 2015-2018DATEYR13D1008E1008IMD1008_YEAR
ISSP 2011-2014DATEYR13D1008E1008IMD1008_YEAR
ISP 2010DATEYR13D1008E1008IMD1008_YEAR
ISSP 2007-2009N/AN/AN/AN/A
ISP 2006N/AN/AN/AN/A
ISP 2002-2005N/AN/AN/AN/A
ISSP National Identity I-IIIYEAR_SDNOD1008E1008IMD1008_YEAR
ISSP Religion I - IIIV4D1008E1008IMD1008_YEAR
ISSP Role of Government I - IVV4D1008E1008IMD1008_YEAR
ISSP Social Inequality I - IVV4D1008E1008IMD1008_YEAR

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.

LATIN AMERICAN PUBLIC OPINION PROJECT (LAPOP)
LAPOP is the premier academic institution carrying out surveys of public opinion in the Americas, with over thirty years of experience. The AmericasBarometer survey is the only scientifically rigorous comparative survey that covers 34 nations including all of North, Central, and South America, as well as a significant number of countries in the Caribbean.

LAPOP productIdentifier in
LAPOP product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
2004 - 2018 Grand Merge pais15D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
2004 - 2018 Grand Merge yearD1008E1008IMD1008_YEAR

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).

MANIFESTO PROJECT (MARPOR / CMP)
The Manifesto Project provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1000 parties from 1945 until today in over 50 countries on five continents.

MARPOR productIdentifier in
MARPOR product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
Manifesto Project Dataset countrynameD1006_NAME1006_NAMIMD1006_NAM
Manifesto Project Dataset: South AmericacountrynameD1006_NAME1006_NAMIMD1006_NAM
Mapping Policy Preferences IIcountrynameD1006_NAME1006_NAMIMD1006_NAM
Mapping Policy Preferences ICOUNTRY17D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
Manifesto Project Dataset date16D5024_1&_3E5026_1&_3IMD5025_1&_3
Manifesto Project Dataset: South Americadate16D5024_1&_3E5026_1&_3IMD5025_1&_3
Mapping Policy Preferences IIdate16D5024_1&_3E5026_1&_3IMD5025_1&_3
Mapping Policy Preferences IEDATE18D5024_1-3E5026_1-3IMD5025_1-3
DATA BRIDGING BY PARTY
Manifesto Project Dataset partyD5200_A-IE5200_A-IIMD5100_A-I
Manifesto Project Dataset: South AmericapartyD5200_A-IE5200_A-IIMD5100_A-I
Mapping Policy Preferences IIpartyD5200_A-IE5200_A-IIMD5100_A-I
Mapping Policy Preferences IPARTY D5200_A-IE5200_A-IIMD5100_A-I

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.

ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT (OECD)
The OECD is an intergovernmental economic organization with 37 member countries founded in 1961 to stimulate economic progress and world trade. The online data portal OECD Data allows users to find, compare and share the latest OECD Data.

OECD productIdentifier in
OECD product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
OECD Data (e.g. International Migration Database)Country19D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
OECD Data (e.g. International Migration Database)No single identifierD1008E1008IMD1008_YEAR

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”).

PARLIAMENTS AND GOVERNMENTS DATABASE (ParlGov)

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).

ParlGov productIdentifier in
ParlGov product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
ParlGov Main Table: Partiescountry_name_short20D1004E1004IMD1004
ParlGov Main Table: Electionscountry_name_short20D1004E1004IMD1004
ParlGov Main Table: Cabinetscountry_name_short20D1004E1004IMD1004
DATA BRIDGING BY TIME
ParlGov Main Table: PartiesN/AN/AN/AN/A
ParlGov Main Table: Electionselection_date21D5024_1-3E5026_1-3IMD5025_1-3
ParlGov Main Table: Cabinetselection_date21D5024_1-3E5026_1-3IMD5025_1-3
DATA BRIDGING BY PARTY
ParlGov Main Table: Partiesparty_idD5201_A-IE5201_A-IIMD5101_A-I
ParlGov Main Table: Electionsparty_idD5201_A-IE5201_A-IIMD5101_A-I
ParlGov Main Table: Cabinetsparty_idD5201_A-IE5201_A-IIMD5101_A-I

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

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.

Party Facts productIdentifier in
Party Facts product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
External Partiescountry22D1004E1004IMD1004
Core Partiescountry22D1004E1004IMD1004
DATA BRIDGING BY PARTY
External Partiespartyfacts_idN/AN/AIMD5103_A-I
Core Partiespartyfacts_idN/AN/AIMD5103_A-I

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)

THE QUALITY OF GOVERNMENT DATA (QoG)
The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. The QoG Institute conducts and promotes research on the causes, consequences and nature of Good Governance and the Quality of Government (QoG). A central part of establishing the QoG Institute has been the construction of a comparative data base.

QoG productIdentifier in
QoG product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
QoG Basic Time Series DataccodeD1006_UNE1006_UNIMD1006_UN
QoG Standard Time Series DataccodeD1006_UNE1006_UNIMD1006_UN
QoG OECD Time Series DataccodeD1006_UNE1006_UNIMD1006_UN
QoG Expert Survey 2015 - Individual LevelccodeD1006_UNE1006_UNIMD1006_UN
QoG Expert Survey 2015 - Country LevelccodeD1006_UNE1006_UNIMD1006_UN
QoG Expert Survey 2012 - Aggregated DataccodeD1006_UNE1006_UNIMD1006_UN
QoG EQI 2010 & 2013 Individual Data country24D1006_NAME1006_NAMIMD1006_NAM
QoG EQI 2017 Individual Data COUNTRY24D1006_NAME1006_NAMIMD1006_NAM
DATA BRIDGING BY TIME
QoG Basic Time Series DatayearD1008E1008IMD1008_YEAR
QoG Standard Time Series DatayearD1008E1008IMD1008_YEAR
QoG OECD Time Series DatayearD1008E1008IMD1008_YEAR
QoG Expert Survey 2015 - Individual Leveldate23D1008E1008IMD1008_YEAR
QoG Expert Survey 2015 - Country LevelN/AN/AN/AN/A
QoG Expert Survey 2012 - Aggregated DataN/AN/AN/AN/A
QoG EQI 2010 & 2013 Individual Data yearD1008E1008IMD1008_YEAR
QoG EQI 2017 Individual Data N/AN/AN/AN/A

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)

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.

V-Dem productIdentifier in
V-Dem product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
Country-Year: V-Dem Core (V10)country_id
country_text_id25
D1004E1004IMD1006_VDem
Country-Year: V-Dem Full+Others (V10)country_id
country_text_id25
D1004E1004IMD1006_VDem
Country-Date: V-Dem (V10)country_id
country_text_id25
D1004E1004IMD1006_VDem
Country-Party-Date: V-Party Dataset Version 1country_id
country_text_id25
D1004E1004IMD1006_VDem
DATA BRIDGING BY TIME
Country-Year: V-Dem Core (V10)yearD1008E1008IMD1008_YEAR
Country-Year: V-Dem Full+Others (V10)yearD1008E1008IMD1008_YEAR
Country-Date: V-Dem (V10)yearD1008E1008IMD1008_YEAR
Country-Party-Date: V-Party Dataset Version 1yearD1008E1008IMD1008_YEAR
DATA BRIDGING BY PARTY
Country-Year: V-Dem Core (V10)N/AN/AN/AN/A
Country-Year: V-Dem Full+Others (V10)N/AN/AN/AN/A
Country-Date: V-Dem (V10)N/AN/AN/AN/A
Country-Party-Date: V-Party Dataset Version 1pf_party_idN/AN/AIMD5103_A-I

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.

WORLD BANK
The World Bank Open Data portal provides free and open access to global development data. This site is designed to make World Bank data easy to find, download, and use. All of the data found there can be used free of charge with minimal restrictions.

World Bank productIdentifier in
World Bank product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
World Bank World Development IndicatorsCountry Code26D1004E1004IMD1004
DATA BRIDGING BY TIME
World Bank World Development IndicatorsNo single identifierD1008E1008IMD1008_YEAR

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)

WORLD VALUES SURVEY (WVS)
The World Values Survey (WVS) is an international research program devoted to the scientific and academic study of social, political, economic, religious and cultural values of people in the world. The project’s goal is to assess which impact values stability or change over time has on the social, political and economic development of countries and societies.

WVS productPolity Identifier in
WVS product
Corresponding identifier in CSES
Module 4Module 5IMD
DATA BRIDGING BY POLITY
WVS Wave 7B_COUNTRYD1006_UNE1006_UNIMD1006_UN
WVS Wave 6V2D1006_UNE1006_UNIMD1006_UN
WVS Wave 5V2D1006_UNE1006_UNIMD1006_UN
WVS Wave 4V2D1006_UNE1006_UNIMD1006_UN
WVS Wave 3V2D1006_UNE1006_UNIMD1006_UN
WVS Wave 2V2D1006_UNE1006_UNIMD1006_UN
WVS Wave 1V2D1006_UNE1006_UNIMD1006_UN
WVS Time-Series S003D1006_UNE1006_UNIMD1006_UN
DATA BRIDGING BY TIME
WVS Wave 7A_YEARD1008E1008IMD1008_YEAR
WVS Wave 6V262D1008E1008IMD1008_YEAR
WVS Wave 5V260D1008E1008IMD1008_YEAR
WVS Wave 4V246D1008E1008IMD1008_YEAR
WVS Wave 3V238D1008E1008IMD1008_YEAR
WVS Wave 2V377D1008E1008IMD1008_YEAR
WVS Wave 1V237D1008E1008IMD1008_YEAR
WVS Time-Series S020D1008E1008IMD1008_YEAR
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