Dataset: Generations and Gender Survey Russia Wave 1 & Wave 2

Abstract

The Generations and Gender Survey (GGS) provides micro-level data with the aim of significantly improving the knowledge base for social science and policymaking in Europe and developed countries elsewhere.  
In Europe 2020, the European Union develops a strategy "to help us come out stronger from the crisis and turn the EU into a smart, sustainable and inclusive economy delivering high levels of employment, productivity and social cohesion". The economic crisis affects not only day-to-day decisions, but also fundamental choices at all stages of people's lives:  marriage and childbearing, the combination of employment and caring responsibilities for the young and the old, retirement, housing, and ageing well. The GGS has been developed to provide scientists with high-quality data to contribute scientifically grounded answers to these key policy questions. Survey content focuses on intergenerational and gender relations between people, expressed in care arrangements and the organization of paid and unpaid work. Key feature of the survey are:  
- Cross-national comparability. In each country data is collected on the basis of a common international questionnaire and guidelines about the methodology. Data processing includes central harmonization of national datasets.  
- A broad age range. It includes respondents between the ages of 18 and 80.
- A longitudinal design. It has a panel design, collecting information on the same persons at three-year intervals.  
- A large sample size. It has an average of 9,000 respondents per country at Wave 1.
- A theory-driven and multidisciplinary questionnaire. It provides data for policy relevant research by demographers, economists, sociologists, social policy researchers, social psychologists and epidemiologists. The questionnaire is inspired by the theory of planned behavior.
- Possibility to combine the survey data with macro data provided by the GGP Contextual Database. This combination enables analyses of individuals and families in their cultural, economic, political, social and policy contexts.

Variable Groups

Document Description

Full Title

Generations and Gender Survey Russia Wave 1 & Wave 2

Alternative Title

GGS Russia Wave 1 & Wave 2

Identification Number

GGSW1.W2.12

Date of Distribution

2016-08-23

Version

Working Version: GGS Wave 1 Version 4.3.

Update of variable catagories and documentation with the release of Poland Wave 2 Version 1.3.

Date: 2018-02-26

Guide To Codebook

In the field “Study Description”, users can find metadata about surveys. This includes the distributors, keywords, abstract, and guidelines on the bibliographic citation.  
Country specific metadata include information on survey producers, methodology and processing. For Wave 1, this information was provided by GGP-country teams, based on a metadata grid with pre-structured questions. Links to relevant references (e.g., working papers and questionnaires) are also provided. For Wave 2, metadata are under preparation.   

The field “Data Files Description” provides metadata about the data file, such as file contents, missing values, as well as changes across different GGS versions.

The field "Variable Description" provides information on each variable, such as question text, descriptions of country specific categories and variables, universe (i.e., subset of respondents to whom the question was asked), country specific deviations to GGS routing, descriptions of the ways in which consolidated and derived variables are calculated. Variables are ordered according to the sections of the GGS codebook.

PLEASE NOTICE THAT WE DOCUMENT ONLY VARIABLES HAVING VALID CASES.  
VARIABLES HAVING ALL SYSTEM MISSING CASES ARE NOT DOCUMENTED.  
This is the reason why the total no. of variables in the documentation is smaller than the total number of variables in the SPSS and STATA files.

Full Title

GGS_W1-V.4.2.&W2-V.1.3_Russia

Producer

Name Affiliation Abbreviation Role
Arianna Caporali Institut national d'études démographiques (INED) AC

Study Description

Full Title

Generations and Gender Survey Russia Wave 1 & Wave 2

Alternative Title

GGS Russia Wave 1 & Wave 2

Parallel Title

Parents and Children, Men and Women in Family and Society

Identification Number

GGSW1.W2.12

Authoring Entity

Name Affiliation
Tatyana Maleva Independent Institute for Social Policy (IISP)
Oxana Sinyavskaya Independent Institute for Social Policy (IISP)
Sergey Zakharov Institute of Demography, Higher School of Economics (IDEM HSE)

Producer

Name Affiliation Abbreviation Role
Polina Kozyreva Demoscope Independent Research Center DIRC Data collector
Mikhail Kosolapov Demoscope Independent Research Center DIRC Data collector

Funding Agency/Sponsor

Name Abbreviation Role Grant
Pension fund of the Russian Federation PFR
Max Plank Institute for Demographic Research MPIDR
Independent Institute for Social Policy IISP

Data Distributor

Name Affiliation Abbreviation
Institut national des études démographiques - 133 boulevard Davout 75980 Paris Cedex 20, France. INED
Netherlands Interdisciplinary Demographic Institute - Lange Houtstraat 19, NL-2511 CV The Hague, The Netherlands NIDI

Depositor

Name Affiliation Abbreviation
Independent Institute for Social Policy (IISP)

Bibliographic Citation

United Nations 2005. Generations & Gender Programme: Survey Instruments. New York and Geneva: UN, 2005.

List of Keywords

Date of Collection

Start End Cycle
2004-06 2004-08 Wave 1
2007 2007 Wave 2

Country

Russia  (RUS)

Geographic Coverage

32 regions of Russia (representative on a country scale).

Geographic Unit

Subjects of federation.

Unit of Analysis

Individuals

Universe

Russian-speaking persons aged 18-79 on June 2004 living in private households in Russia.

Kind of Data

Survey data

Time Method

Panel

Data Collector

Sampling Procedure

WAVE 1 SAMPLING PROCEDURE   
1. Sampling frame
1.1 Type of frame: Dwelling lists, developed by constructing a list of all addresses in SSU.
1.2  Frame coverage: Almost whole population of Russia (95.5% of the population, Chechnya was excluded).
1.3 Frame size: 139 mln people in 1,850 modified areas.
1.4 Level of units available: Dwellings.

2. Sampling method
2.1 Sampling method type: Multistage probability sample.
2.2 Sampling stage definition
  - PSU: Administrative-territorial areas: self-representing areas (Moscow city, Moscow Oblast and St.Petersburg city) and other regions.
  - SSU: If PSU = self-representing areas -> SSU = polling districts; if PSU = other -> SSU = settlements (town or rural areas).
  - TSU: If SSU = polling districts -> TSU = individuals; if SSU = town -> TSU = polling districts and FSU = individuals; if SSU = rural area -> TSU = individuals.
2.3 Sampling stage size
  - PSU: 38 PSU, including 3 self-representing areas (=populous cities - Moscow city, Moscow Oblast and St.Petersburg city - with a total of 20,5 mln inhabitants).
  - SSU: 177 SSU.
  - TSU: NA.
2.4 Unit selection: All self-representing areas were selected as PSU, in each of the non self-representing areas one PSU was chosen randomly using probability proportional to size.
2.5 Final stage unit selection: Simple Random Sampling.
2.6 Within Household unit selection: Kish tables.
2.7 Stratification: None.
2.8 Sample size
  - Starting size sample: 27,089.
  - Aimed total size at Wave 1: 11,000.
  - Aimed total size at Wave 3: None.
2.9 Estimated Non-response
  - Initial non-response: 52.5%.
  - Yearly attrition: None.
  - Non response measures: Oversampling (27,089 -> 11,000 target).
  - Within household non-responses measures: None.

WAVE 2 SAMPLING PROCEDURE   
Metadata are under preparation.

Mode of Data Collection

Method: Face-to-Face (personal interview).
Technique: Paper and Pencil (PAPI).

Type of Research Instrument

Structured questionnaire in Russian.

Characteristics of Data Collection Situation

WAVE 1 DATA COLLECTION
1. Interviewers
1.1 Total number of interviewers: 525.
1.2 Number of interviewers in the field: Each interviewer had a fixed number of interviews to carry out. Some of them could finish the work earlier than others.
1.3 Network organization: Field coordinators from the interviewer's network of Demoscope Independent Research Center.
1.4 Working arrangement of interviewers: Contracted - other.
1.5 Payment of interviewers: Paid per interview + compensation for three-day training + compensation of travel costs.

2. Interviewer training
2.1 General interviewing: Yes, the trainees learned about the face-to-face interview principles.
2.2 Survey specific: Yes, study of the questionnaire.
2.3 Length: General training: 1 day; Specific training: 2 days. On the whole 38 workshops.
2.4 Control of performance: Yes, checking the Kish procedure, the filled questionnaires (2-3 from each interviewer), visiting 10% of randomly selected dwellings.
2.5 Interviewer survey: None.

3. Contact protocols
3.1 Advance letter: None.
3.2 Cold contacts: Face-to-face.
3.3 Scheduling / scattering: Yes, contact attempts were scattered over different days of the week and different parts of the day.
3.4 Contact history: Yes, for each contact attempt the interviewer had to report the date, the time and the outcome.
3.5 Min number of contacts: 3.
2.6 Max number of contacts: 18.

4. Questionnaire localization
4.1 Validation: Yes, in 2002 a test of the 1st version of the questionnaire was carried out by interviewing 50 respondents to improve the translation. Russian translation was also checked by Russian-speaking experts from the Max Planck Institute (MPIDR).
4.2 Pre-test: Yes, pilot.
4.3 Length of interview and other information about the data collection situation: Average length of interview: 1h 51min. In 28% of the cases there were other persons (during any part of interview). The overall assessment of the willingness to answer and reliability of information is high. Questions on the potential breaking-up were perceived by most respondents as tactless. Questions on fertility and fecundity were difficult too.

WAVE 2 DATA COLLECTION   
Metadata are under preparation.

Actions to Minimize Losses

WAVE 1 ACTIONS  
1.  Dealing with nonresponse
1.1 Screening: Up-date of the lists of dwellings
1.2 Refusal conversion: Usual techniques of refusal conversion.
1.3 Incentives: Yes, money: 100 rubles (in Moscow and St-Petersburg 500 rubles).
.
2. Tracking of sampled units
2.1 Respondent contact information: Yes, contact details (address phone number mobile and home; the respondent was not explicitly asked to provide an e-mail address) of the respondent were collected.
2.2 Other contact information: Yes, contact details (phone numbers; the person was not explicitly asked to provide an e-mail address) of a proxy (such as parents, friend) were collected.
2.3 Cards: Only a brochure with results of Wave 1 was sent.
2.4 Additional surveys: Education and Employment Survey (EES) in 2005. EES is based on the panel sample of the 1st wave of Russian GGS but includes people up to 55 years old only (N=6,654 respondents).
2.5 Administrative records: No.

WAVE 2 ACTIONS   
Metadata are under preparation.

Control operations

Double-entering of the data.

Weighting

WAVE 1 WEIGHT VARIABLES   
A sex-age weighting variable was constructed.

WAVE 2 WEIGHT VARIABLES   
Metadata are under preparation.

Cleaning Operations

WAVE 1 CLEANING OPERATIONS
Yes, consistency checking, wildcode checking.

WAVE 2 CLEANING OPERATIONS    
Metadata are under preparation.

Response Rate

WAVE 1  
Response rate - Final disposition codes:
I = complete interview: 11,261
P = partial interview: NA, not included in the database
NE = non-eligible : 1,603
NC = non-contact : NA
R = refusal: 7,445
O = other non-response: 1,920
UC = unknown eligibility, contacted: NA
UC = unknown eligibility, non-contact: 4,859
eC = estimated proportion of contacted cases of unknown eligibility that are eligible: not applicable
eN = estimated proportion of non-contacted cases of unknown eligibility that are eligible: not applicable

WAVE 2
Metadata are under preparation.

Completeness of Study Stored

Wave 1
The GGS core questionnaire was adapted to fit with the Russian sociodemographic and legal context and because of time constraints: some questions were added, dropped or modified. Some added questions are stored in the GGS harmonized data file.

WAVE 2
Metadata are under preparation.

Restrictions

In order to access micro data files, users have to sign and submit a Statement of affiliation, confidentiality and acceptable usage. They also have to submit a title and abstract of their research project. They can use the data for all their research projects, except for datasets from Australia and Norway. Users of these datasets need to submit a new application form if they want to use the data in a different research project. The access rights from Wave 1 data are transferred to the Wave 2 data.

Access Authority

Name Affiliation E-mail address Universal Resource Identifier
UNECE Population Unit - Palais des Nations - CH-1211 Geneva 10 - Switzerland. Tel: +41 22 917 24 77 - fax: +41 22 917 01 07 ggp@unece.org http://www.unece.org/pau/

Citation Requirement

In any work emanating from research based on the Generations and Gender Survey micro-data, I will acknowledge that these data were obtained from the GGP Data Archive and refer to the publication that describes the model survey instruments: United Nations 2005. Generations & Gender Programme: SurveyInstruments. New York and Geneva: UN, 2005

Deposit Requirement

Users of GGS micro-data are required to send any research papers based on the Generations and Gender Survey micro-data or aggregate tabulations to the Population Activities Unit of the UN Economic Commission for Europe, for inclusion in the GGP publications archive.

Conditions

In order to access, it is necessary to subscribe to the GGP Data User Space, and to follow the instructions available on the GGP data access webpage.

Disclaimer

The authors and producers bear no responsibility for the uses of the GGS data, or for interpretations or inferences based on these uses. The producers accept no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason.

Related Materials

Russia_Questionnaire_W1_en

Russia_Questionnaire_W2_en

Other References Note

Russian country presentations at the GGP International Working Group Meetings

Data Files Description

File Name

GGS_Wave1_Russia_V.4.3..NSDstat

Contents of Files

VARIABLES HAVING ALL SYSTEM MISSING CASES ARE DROPPED BEFORE PUBLICATION IN NESSTAR.
This is the reason why the total no. of variables in the Nesstar data file is smaller than the total number of variables in the SPSS and STATA files.

Variables are ordered according to the sections of the GGS codebook: Household, Children, Partnerships, Household Organisation and Partnership Quality, Parents and Parental Home, Fertility, Health and Well-Being, Respondent's Activity and Income, Partner's Activity and Income, Household Possessions, Income and Transfers, Value Orientations and Attitudes, Interviewers' report.
The variables begin with a letter designating the wave of data collection ("a" for the first wave likewise "b" for the second wave). We have attempted to keep the names of variables the same across the waves, and all the new variables would be identified as follows ["wave letter"]n e.g.  bn301.  
Although we encourage the countries to strictly follow the GGS Questionnaire, countries might implement a question that differs to a considerable extent from the GGS Questionnaire. In this case either we add country specific response values, or we introduce a country specific variable.  
Country specific values are added when the question follows the model questionnaire, but the answers are not at all or partly compatible. They are at least 4 digits long (F4 format) and begin with the country code: e.g., Australia 2401. Hence, the country code, as an example, for Australia is 24.  
A country specific variable is introduced when the question differs from the model questionnaire albeit measuring the same concept. This kind of variables is identified with a suffix given by the country code plus a number, e.g., Australia a119_2401.
In order to have an overview of GGS country code, please refer to the variable "acountry".

File Structure

Record Group

Overall Case Count

11261

Overall Variable Count

1556

Type of File

Nesstar 200801

Extent of Processing Checks

DATA HARMONISATION
The data is submitted in an already pre-harmonised form. It is prepared and organised according to the GGS standards.  
Harmonisation aims at achieving a clear and comparable format of the GGS micro-data files that would be adequate for cross-country comparison.  The harmonisation procedure basically is composed of:
1. Label checks  
This step makes sure that all the variables are named the same across the countries and refer to a particular question in the GGS Questionnaire. Also the value labels are checked. They should be the same across GGS datasets.  
2. Dealing with grids
The GGS Questionnaire holds several grids of either event history information or members of the household. Such data needs to be harmonized with specific attention to order and logical consistency of grid-rows (be either household members or events such as births). In data sense each row of the grid is represented by variable name followed by a subscripted number ("_#"). Each subscript thus represents one household member or one event. Part of the grid harmonization is grid sorting. Grid rows are sorted according to pre-defined key. For example in the household grid, the household members are sorted according to their relationship to the respondent i.e. the relation to respondent variable (ahg3_# or bhg3_# ). Respondents would appear, first, followed by their partners and children if any and then followed by other household members. As there may be more then one child (or other relative) living in the household they also would need to be sorted. In the case of the household grid, age is used as the secondary sorting key (starting with the oldest person to the youngest).
3. Routing
Routing check ensures that the structure of underlying data set matches the structure of the GGS questionnaire. Its main goal is to code any given variable in the dataset to either a valid response, nonresponse or skip as indicated in the questionnaire. Consequently, the indicated skip in the quetionnaire is represented with a system missing code (. in STATA, sysmis in SPSS), while the missing information for other reasons is coded into non-applicable/no response (i.e. codes 7, 8, 9 in SPSS or .a, .b, .c in STATA).  
4. Consolidation  
The process consolidates the information scattered over several variables into a single one. The consolidation procedure is carried out in the Children Section, the Partnership Section and the Parents and Parental Home Section.
5. Imputation  
Due to its sensitive nature, the respondents are reluctant to share income information with the interviewer. In order to be able to use income information in a cross country comparative study and not to loose too many observations in the process it is necessary to impute the approximately correct distribution of the income variable in each country.  
6. Calculation of derived variables
We calculate derived variables out of the following variables:
- grid variables (i.e., household grid, children grid, and partnership history grid); the codebook starts with the constructed variables that sum the key socio-demographic characteristics of the respondent.
- month and year variables,  
- hours and minutes variables,
- frequency and unit variables.  
Occupation variables are recoded into ISCO-88 1 digit.
Explanations of the ways in which consolidated and derived variables are obtained, are available under the field "Note" of the "Variable Description" sections.
For a more detailed and technical procedure please refer to the Data Cleaning and Harmonisation Guidelines.

Missing Data

The following missing values have been assigned:
- 6, 96, 996, etc. = Unknown (only for consolidated variables in the group "administrative variables")
- 7, 97, 997, etc. = Don't know
- 8, 98, 998, etc. = Refusal
- 9, 99, 999, etc. = Not-applicable/no response

Version

Harmonized dataset, GGS Wave1, version 4.3.

Notes

IMPROVEMENTS INTRODUCED WITH V.4.3. (August 2016):
Variables corrected with Version 4.3.
- fertintent (no more ambiguous labelling)
- a1101 (corrected error in coding)
- aweight (now available also for NLD CZE SWE POL)
- aregion (now available also for HUN)
- aplace (now available also for HUN)
- a5112 (corrected routing error for ROU)
- a5113 (corrected routing error for ROU)
- a5114 (corrected routing error for ROU)
- a5115 (corrected routing error i for ROU)
- a211b_ (corrected error for POL & GEO)
- ankids (corrected error for POL & GEO)
- a1008mnth (corrected error for NGR & BEL)
- a108 (now available for SWE)
- a109_1 (now available for SWE)
- a109_2 (now available for SWE)
- a149 (now available for SWE)
- a309 (now available for SWE)
- aregion (now available for SWE)
- a620_ (corrected error for DEU & CZE)
- a402 (corrected error for POL)
- a149 (corrected error routing error in NOR)
- a344 (corrected error routing error in NOR)
- a256_ (corrected error for POL & GEO)

IMPROVEMENTS INTRODUCED WITH V.4.2. (February 2014):
The update from v4.1 to v4.2 does not include corrections of existing variables.  
The update only includes additional variables which are derived from the pre-existing datasets
- Variables derived from grid variables and variables which concern the respondents and his/her partner: numdissol numdivorce nummarriage numpartners livingwithpartner childprevp femage maleage femeduc maleeduc fertintent numbiol numres numnonres numstep numallchild ageyoungest ageoldest numrespleave numotherparentleave coreschild coresparen coresgrandp coressibl.
- Variables derived from month and year variable:  
a808Dur a822Dur a907Dur a911Dur a914Dur; a303cAgeP a315AgeP a316cAgeP a374cAgeP a608AgeP a610AgeP a617bAgeP a621AgeP a914AgeP a941AgeP; a107AgeR a121AgeR a150AgeR a239aAgeR a239bAgeR a240AgeR a301AgeR a302bAgeR; a311AgeR a314bAgeR a314dAgeR a371AgeR a372bAgeR a603AgeR a608AgeR a610AgeR a613AgeR a614AgeR a619AgeR a621AgeR a816AgeR a822AgeR a871AgeR a5116AgeR a5117bAgeR; a302bTdiff a314bTdiff a314dTdiff a372bTdiff.
- Variables derived from hours and minutes variables: a324_hour a520_hour a540_hour.
- Variables derived from frequency and unit variables: a205mnth,a241mnth,a325mnth,a355mnth,a359mnth,a363mnth,a367mnth,a521mnth,a541mnth,a1008mnth,a1102mnth; a203c_?w a204c_?w.
- Occupation variables recoded into ISCO-88 1 digit: a828_1dig a832_1dig a861_1dig a917_1dig a921_1dig a933_1dig a5112_1dig a5114_1dig.

IMPROVEMENTS INTRODUCED WITH V.4.1. (April 2012):
- Variables corrected: aage, aactstat, amarstat, anpartner,ankids, a321, a324*, a325*, a540.
- Variables recoded: a5112, a5114, a861 (values that were not according to ISCO 88 now coded into missing).
- Variables corrected in version 4.0. that were not documented: a933, a1008U.

IMPROVEMENTS INTRODUCED WITH V.4.0 (March 2012):
- New constructed variables: asex aage abyear aeduc aactstat aparstat amarstat anpartner ankids ahhsize ahhtype.
- Variables which do not have country specific categories anymore: a149 a309 a322 a380 (coded using ISCED 97).
- Variables corrected: a601 and a602 (corrected, with consequences on the response rate of subsequent variables), a622, a623, a624, a625, a626, a627*, a628*, a629*, a631*, a383 (now rounded).
- New consolidated variables on respondents' current activity: a870, a871m, a871y, a873, a874, a875.
- New consolidated variables on respondents' partners current activity: a940, a941m, a941y, a943, a945.

IMPROVEMENTS INTRODUCED WITH V.3.0 (August 2010):
- For all variables: now values 7,8,9 have labels
- Variables for which codes are now corrected: a122 (now values are in four digits).
- Variables that do not have value labels in Cyrillic anymore: a149, a322, a5112, a828, a832, a861, a917, a921, a933, a5114
- Variables that do not have country specific values anymore: a149, a308, a321, a337_*, a5113,a5115.
- Variables renamed: a203c_1u..._`i'u and a204c_1u..._`i'u renamed respectively into a203cu_1...`i' and a204cu_1...`i'.
- Variables dropped because not in the codebook: a201b_a2 - _f2
- Variables dropped because empty: a378a, a535, a536
- Variables corrected: a550, a1101.
- Variables that now have value labels: a374b, a377, a707_1, a843*
- Variables for which labels have changed : a1003_1 to _6 (now 6 questions with category yes/no), a330 (value 5 useless and therefore deleted).
- New variables: a370, a383, a384.

FIRST DATASET RELEASED: V. 1.8. (March 2010).

Notes

Before publication in Nesstar GGS micro data files are further processed so as to ease online data browsing and analysing.
We delete variables having all system missings.

File Name

GGS_Wave2_Russia_V.1.3..NSDstat

Contents of Files

VARIABLES HAVING ALL SYSTEM MISSING CASES ARE DROPPED BEFORE PUBLICATION IN NESSTAR.
This is the reason why the total no. of variables in the Nesstar data file is smaller than the total number of variables in the SPSS and STATA files.

Variables are ordered according to the sections of the GGS codebook: Household, Children, Partnerships, Household Organisation and Partnership Quality, Parents and Parental Home, Fertility, Health and Well-Being, Respondent's Activity and Income, Activity and Education History, Partner's Activity and Income, Household Possessions, Income and Transfers, Value Orientations and Attitudes, Interviewers' report.
The variables begin with a letter designating the wave of data collection ("a" for the first wave likewise "b" for the second wave). We have attempted to keep the names of variables the same across the waves, and all the new variables would be identified as follows ["wave letter"]n e.g.  bn301.  
Although we encourage the countries to strictly follow the GGS Questionnaire, countries might implement a question that differs to a considerable extent from the GGS Questionnaire. In this case either we add country specific response values, or we introduce a country specific variable.  
Country specific values are added when the question follows the model questionnaire, but the answers are not at all or partly compatible. They are at least 4 digits long (F4 format) and begin with the country code: e.g., Australia 2401. Hence, the country code, as an example, for Australia is 24.  
A country specific variable is introduced when the question differs from the model questionnaire albeit measuring the same concept. This kind of variables is identified with a suffix given by the country code plus a number, e.g., Australia a119_2401.
In order to have an overview of GGS country code, please refer to the variable "acountry".

File Structure

Record Group

Overall Case Count

7783

Overall Variable Count

848

Type of File

Nesstar 200801

Extent of Processing Checks

WAVE 2 DATA HARMONISATION: see "Extent of Processing Checks" "WAVE 1 DATA HARMONISATION".

Missing Data

The following missing values have been assigned:
- 6, 96, 996, etc. = Unknown (only for consolidated variables in the group "administrative variables")
- 7, 97, 997, etc. = Don't know
- 8, 98, 998, etc. = Refusal
- 9, 99, 999, etc. = Not-applicable/no response

Version

Harmonized dataset, GGS Wave2, version 1.3.

Notes

FIRST DATASET RELEASED: V. 1.3. (August 2016).

Notes

Before publication in Nesstar GGS micro data files are further processed so as to ease online data browsing and analysing.
We delete variables having all system missings.   

WAVE 2 DATASETS - Main differences compared to WAVE 1 datasets
Wave 2 datasets include an additional new section that had not been implemented in the Wave 1 data collection. It is the section no. 8 "Activity and Education History". Respondents report comprehensively on their activity and education history since age 16. Two additional sections are also present at the end of wave 2 dataset: "Interviewer observations" and "Interviewer report" (respectively sections no. 13 and 14).
A set of constructed variables at the top of the data file increase the usability of the GGS data by summarizing key socio-demographic characteristics of the respondent (age, birth year, sex, level of educational attainment, activity status, partnership status, number of co-resident partners, number of children, household size, household type). An additional set of variables consolidates information on the current activity of the respondent and his/her partner that is otherwise spread over the questionnaire. Another set of consolidated variables concern respondents' parents and parental home.

WAVE 2 DATASETS - Variables names
Variables in the Wave 2 data sets that are consistent with variables implemented in the Wave 1 questionnaire are named identically. Wave 2 variable names start with the letter "b" compared to letter "a" in Wave 1. Variables that have not been implemented in Wave 1 but collected in Wave 2 begin with "bn".   
In Wave 2 datasets published in Nesstar, the variable "brid - R identification number" has been renamed into "arid" (same variable name than Wave 2). This allows the user to merge Wave 1 and Wave 2 datasets in Nesstar.
In Wave 2 datasets published in Nesstar, variable labels have the indication "(W2)". This allows the user to distinguish Wave 2 variables from Wave 1 variables, on the basis of the variable labels.

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