Dataset: Generations and Gender Survey 2020 Belarus Wave 1

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 has developed 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 features of the survey are:  
- Cross-national comparability: The comparative focus allows analyses of the ways in which policies, culture and economic circumstances influence dependencies between men and women and between the young and the old.
- A longitudinal design: The GGP survey applies a panel design - collecting information on the same persons at three-year intervals - to allow the examination of causes and consequences of inequalities between genders and generations.  
- A large sample size: The GGP survey has an average of 10,000 respondents per country, making it possible to study numerical minorities and uncommon events.
- A broad age range: The GGP collects data on the whole life course by interviewing respondents aged 18-79. It also enables analysis of multiple generations by asking extensive questions about intergenerational exchange and support.
- The combination of micro and macro data: Alongside the micro data collected via surveys, the GGP has a contextual database with over 100 indicators which cover not only the year of the survey but also retrospective indicators covering the past 40 years to be used alongside the retrospective data in the surveys.
A theory-driven and multidisciplinary questionnaire: The GGS questionnaire is developed and maintained by a team of leading social scientists from demography, sociology and economics. The questionnaire seeks to bring together a wide range of subjects that examine the causes and consequences of family change.

Variable Groups

Document Description

Full Title

Generations and Gender Survey 2020 Belarus Wave 1

Alternative Title

GGS 2020 Belarus Wave 1

Identification Number

GGS2020.W1.30

Date of Distribution

2017-11-22

Version

Version V.1.0 : GGS 2020 - Wave 1

Date: 2018-04-18

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. This information was provided by the 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.  

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.

Full Title

GGS_W1-V.4.3.&W2-V.1.3_France

Producer

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

Study Description

Full Title

Generations and Gender Survey 2020 Belarus Wave 1

Alternative Title

GGS 2020 Belarus Wave 1

Identification Number

GGS2020.W1.30

Authoring Entity

Name Affiliation
Marianne Sakalova United Nations Population Fund (UNFPA)

Producer

Name Affiliation Abbreviation Role
Professor David Rotman Belarusssian State Univeristy BSU

Date of Production

2017-11-22

Funding Agency/Sponsor

Name Abbreviation Role Grant
United Nations Population Fund UNFPA
United Nations Children's Fund UNICEF

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
Marianne Sakalova United Nations Population Fund (UNFPA)

Bibliographic Citation

GGP 2020 - Belarus (2017), Wave 1

List of Keywords

Date of Collection

Start End Cycle
2017-04-14 2017-11-20 Wave 1

Country

Belarus  (BLR)

Geographic Coverage

The territory of the Republic of Belarus.

Geographic Unit

The level of region within Belarus covering the seven regions of the country: Brest, Gomel, Grodno, Mogilev, Minsk, Vitebsk and Minsk (City).

Unit of Analysis

Individuals

Universe

Non-Instutionalised population aged 18-79 on 14th April 2017.

Kind of Data

Survey data

Time Method

Panel

Data Collector

Belarussian State University  (BSU)

Sampling Procedure

1. Sampling frame
1.1. Sample Frame: A list of household addresses from the national census of 2009.
1.2. Frame Coverage: Not less than 95 %
1.3. Frame Size: 7,359,981 persons aged 18-79 years
1.4. Unit of Frame: Individual

2. Sampling method
2.1. Sampling Method: Probability sampling method. At every selection stage units of selection are determined at the basis of the probability proportional to the population size.
2.2. Sampling Stage Definitions: The first sampling stage is a selection of primary geographical sampling units (urban and rural settlements), selected at the basis of registration system active zones; at the second stage of selection the sampling units are enumeration points of the national census (each of them includes about 100 households); households (or residential addresses) are the third stage the sampling units; the last stage of selection presupposes individuals.
2.3. Sampling Stage Sizes: At the first stage - 96 urban and rural survey points; at the second stage - 903 census enumeration points; at the third stage - 10,000 households.
2.4. Unit Selection Method: Random selection with the probability proportional to the size.
2.5. Final Stage Unit Selection: Household selection is based on the principle of random selection. A systemic selection of households from the number of all the households selected in the enumeration districts by the determined step.
2.6. Within Household Unit Selection: A respondent is selected by the principle of the «next birthday» method.
2.7. Stratification: Regional stratification, stratification by the type of settlement.
2.8. Sample Size : 10,000 persons
2.9. Estimated Non-Response: 24% (on average), taking into consideration, that the fieldworks included summer months (vacation and holiday season), i.e. a season of high seasonal migration of population.

Mode of Data Collection

Method: Face-to-Face (personal interview)  
Technique: Computer-assisted personal interviewing (CAPI)

Type of Research Instrument

Structured questionnaire in Russian

Characteristics of Data Collection Situation

1.Interviewers
1.1. Total number of interviewers: 424 interviewers were trained
1.2. Total number of interviewers in the field: 331
1.1.  Network Organization: Head of the network of interviewers - 1 person, supervisors -14 persons, regional curators - 7 persons. Interviews were conducted face to face with respondents at the basis of the address maps, using tablets.  
1.2.  Working arrangement of Interviewers: DK
1.3.  Payment of interviewers: Interviewers received their payments after quality control of their interviews and confirmation of the interviews upload to the central server. Payment was done by the accounts department of Belarusian State University in the national currency of the Republic of Belarus. Money was allocated to interviewers' operating bank accounts. The cost of one interview is 8,4$ USD.

2. Interviewer Training
2.1.  General Interviewing: A set of working documents for interviewers was prepared and provided to interviewers. The team conducted 14 training workshops for interviewers in all the regions of the country. Also interviewers were separately briefed about safety arrangements.
2.2.  Survey Specific: Every interviewer conducted training interviews at the tablet, trained her/his skills of uploading interviews to the server.
2.3.  Length: Training workshops lasted for 5-6 hours. Training interviews lasted for 2-5 hours (depending on the level of gained skills).
2.4.  Control of Performance (i.e. testing): All interviewers were tested to check their readiness for going to the field.
2.5.  Interviewer Survey: Conducted in November, 2017 with 150 of 236 interviewers who conducted 71% of interviews.

3. Contact Protocols
3.1.  Advance Letter: There was not any. Respondents received a notebook, a pen and a leaflet with the project logo after the interview.
3.2.  Cold Contacts: 100 %
3.3.  Scheduling/Scatter: Scatter
3.4.  Contact History: Yes.  
3.5.  Min number of contacts: 1 visit
3.6.  Max number of contacts: 3 visits

4. Questionnaire localization
4.1.  Validation: Questions about income, cost of real estate, ex-partners, non-surviving children, deceased parents, partners, about contraception, infertility treatment caused difficulties and refusals.
4.2.  Pre-Test: 25 pilot interviews (that lasted for 1 hour 46 minutes on average) on paper questionnaires (PAPI), 27 pilot interviews were done on tablets (CAPI).
4.3.  Length of Interview: CAPI interviews lasted for 45 minutes on average

Actions to Minimize Losses

1.  Dealing with nonresponse  
1.1 Screening: Yes, residential addresses were screened to ensure that at least one resident was within the target population of the survey.
1.2 Refusal conversion: Interviewers were trained to explain the aims and scope of the survey and instructed to offer alternative interview times in the event of a soft refusal.  
1.3 Incentives: Respondents were given pens and notepads with the UNFPA logo on them.

2. Tracking of sampled units  
2.1 Respondent contact information: Respondent's contacts were collected.  
2.2 Other contact information: No.
2.3 Cards: NA  
2.4 Additional surveys: No.
2.5 Administrative records: No.

Control operations

Soft checks were implemented within the survey itself to screen erronous values and data cleaning algorithms flagged problematic values once the data was submitted to the central server. These include analysis of specific interviewers and regions and corrective instructions were issued when problematic behaviour was identified.

Cleaning Operations

There are three sets of processing checks that are conducted:
1. In field checks: For improbable values, interviewers are given soft checks to ensure they have not mistyped the response value. These are particularly focused on the timing of events and their association with the respondents age at the time.  
2. National Team Quality Checks: 10% of the interviews are checked by an independent team to ensure that interviewers have completed the interview in accordance with fieldwork guidelines and recorded individuals correctly.
3. Central Quality Checks: The Central Coordination Team of the GGP have a series of data quality checks that are run over the data collected. These attempt to identify any erroneous values not caught by soft checks, assess values of specific interviewers and regions to ensure that there are no systematic or falsified responses included, and test for straight lining or non-random response patterns.

Response Rate

Address does not exist: 119,  
No persons aged 18-79 years: 273,  
Refusal from participation in the survey: 1,748,  
Respondent is unable to answer - 55,  
Interrupted interviews -17.

Completeness of Study Stored

Items that could identify respondents or associates was removed, including personal contact information and all references to names and specific job titles.

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.

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. Authors must specify which datasets are used, including the countries, waves and versions used in analysis.

Deposit Requirement

Users of GGS micro-data are required to submit any research papers based on the Generations and Gender Survey micro-data or aggregate tabulations to the GGP Website.

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.

Data Files Description

File Name

GGS2020_Wave1_Belarus_V.1.0..NSDstat

Contents of Files

Variables are ordered according to the sections of the GGS questionnaire used for the GGP 2020 data collection (the second round of GGP data collection). The sections are: Respondent; Partnerships; Household composition, organization and partnership quality; Parents and Parental Home; Network delineation and support; Fertility; Health and Well-Being; Respondents' Activity and Income; Partners' Activity and Income; Household Possessions, Income and Transfers; Value Orientations and Attitudes; Interviewer Observations; Interviewer 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. However, variable names of the GGP 2020 data collection do not correspond to those of the previous round of GGP: variables having the same names may be linked to different questions.  

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 codes, please refer to the variable "acountry".

Overall Case Count

9994

Overall Variable Count

2074

Type of File

Nesstar 200801

Place of File Production

The file is produced centrally by the Netherlands Interdisciplinary Demographic Institute (NIDI, The Netherlands), in collaboration with the Survey Department of the "Institut national d'études démographiques" (INED, France).

Extent of Processing Checks

There are three sets of processing checks that are conducted:
1. In field checks: For improbable values, interviewers are given soft checks to ensure they have not mistyped the response value. These are particularly focused on the timing of events and their association with the respondents age at the time.  
2. National Team Quality Checks: 10% of the interviews are checked by an independent team to ensure that interviewers have completed the interview in accordance with fieldwork guidelines and recorded individuals correctly.
3. Central Quality Checks: The Central Coordination Team of the GGP have a series of data quality checks that are run over the data collected. These attempt to identify any erroneous values not caught by soft checks, assess values of specific interviewers and regions to ensure that there are no systematic or falsified responses included, and test for straight lining or non-random response patterns.

Missing Data

The following missing values have been assigned:
- 999997 = Don't know/Reporting Error
- 999998 = Refusal
- 999999 = Not-applicable/no response

Version

Harmonized dataset, GGS 2020 Wave 1 Belarus, V.1.0

Notes

CHANGES INTRODUCED WITH BELARUS W1 VERSION 1.0 (April 2018), compared to the previous BETA version:  
- The following variables were deleted: intdate, a610m,  a610y, a615, a617, a822a, a822b.
- The documentation of the universe for variable a616 was corrected.

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