UK Data Service data catalogue record for:
|Title:||Young Lives: an International Study of Childhood Poverty: Round 2, 2006|
|Series:||Young Lives: an International Study of Childhood Poverty [Young Lives: an International Study of Childhood Poverty]|
|Depositor:||Solon,A., University of Oxford. Department of International Development|
Boyden, J., University of Oxford. Department of International Development
Department for International Development
For Round 2, data management was coordinated by Anne Solon of the Young Lives team based at the University of Oxford's Department of International Development.
The following organisations collected data for Round 2: Ethiopian Development Research Institute, Addis Ababa, Ethiopia; CESS, India; GRADE, Peru; IIN, Peru; Centre for Analysis and Forecast, Vietnamese Academy of Social Sciences (CAF-VASS), Vietnam; General Statistical Office, Government of Vietnam.
Further information about research partners for the survey can be found on the Young Lives website.
The depositor has supplied the following text for users as an example of the acknowledgement that should be used in publications resulting from use of the Young Lives study:
"The data used in this publication come from Young Lives, a 15-year survey investigating the changing nature of childhood poverty in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, based at the University of Oxford (www.younglives.org.uk). Young Lives is core funded by the UK Department for International Development. The views expressed here are those of the author(s). They are not necessarily those of the Young Lives project, the University of Oxford, DFID or other funders."
The citation for this study is:
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Abstract copyright UK Data Service and data collection copyright owner.The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood. The Young Lives study aims to track the lives of 12,000 children over a 15-year period, surveyed once every 3-4 years. Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, and Round 4 surveyed them at 12 and 19 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.
The survey consists of three main elements: a child questionnaire, a household questionnaire and a community questionnaire. The household data gathered is similar to other cross-sectional datasets (such as the World Bank's Living Standards Measurement Study). It covers a range of topics such as household composition, livelihood and assets, household expenditure, child health and access to basic services, and education. This is supplemented with additional questions that cover caregiver perceptions, attitudes, and aspirations for their child and the family. Young Lives also collects detailed time-use data for all family members, information about the child's weight and height (and that of caregivers), and tests the children for school outcomes (language comprehension and mathematics). An important element of the survey asks the children about their daily activities, their experiences and attitudes to work and school, their likes and dislikes, how they feel they are treated by other people, and their hopes and aspirations for the future. The community questionnaire provides background information about the social, economic and environmental context of each community. It covers topics such as ethnicity, religion, economic activity and employment, infrastructure and services, political representation and community networks, crime and environmental changes. The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.
Further information about the survey, including publications, can be downloaded from the Young Lives website.
|This study includes data and documentation for Round 2 only. Round 1 is available under SN 5307, Round 3 under SN 6853 and Round 4 under SN 7931.
For the second edition (April 2014), the data files and accompanying data have been updated. The updates have been made as a result of ongoing cleaning associated with the collection of longitudinal data (i.e. checking the consistency of the data across rounds). Extensive work has also been done on updating the location variables of the children and a new variable has been added to the Round 2 (MVDTYPR2) and Round 3 (MVDTYPR3) data (see SN 6853) indicating if the child has moved between rounds. Updated PPVT scores and calculated variables have also been provided.
This dataset comprises the data from the 5-year-olds' and 12-year-olds' household surveys and the 12-year-olds' child survey carried out in 2006. For each of the four countries the dataset contains files at the community, household and child level for both ages. The household/child level data file for the 12-year-olds' survey also includes data from the child questionnaire. In addition there are several files at lower levels (i.e. where there are several records per household). These include the household roster and activity schedules for livelihoods. The Peru community level data includes an additional file with community data covering new communities for children who have migrated.
Topics covered in the dataset include: community characteristics (environmental, social and economic); parental background; household education; livelihoods and asset framework; household food and non-food consumption and expenditure; social capital, economic changes and recent life history; socio-economic status; child care, education and activities; child health; anthropometry; caregivers' perceptions and attitudes; school and activities, child time use; social networks, social skills and social support; feelings and attitudes; parents' and household issues; child development; perception of the future, environment and household wealth.
Also included are calculated indices such as a wealth index, various social capital scores, and mental health scores, which are all detailed in the documentation. The SPSS syntax code and/or Stata 'do' files that show methods of calculation for the composite indices are also included in the dataset.
|Time period:||This varies between questions. Some of the data asks for a review of the last 24 hours/week/month/12 months/3 years etc., while other questions ask about the time between Round 1 and Round 2.|
|Dates of fieldwork:||2006|
|Country:||Ethiopia | India | Peru | Vietnam|
No spatial unit
|Kind of data:||
Individual (micro) level
Children aged approximately 5 years old and their households, and children aged 12 years old and their households, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, in 2006-2007. These children were originally interviewed in Round 1 of the study. See documentation for details of the exact regions covered in each country.
It is intended that data will be collected once every three or four years.
Purposive selection/case studies
|Number of units:||Ethiopia: 1,912 (5-year-olds), 980 (12-year-olds); India: 1,950 (5-year-olds), 994 (12-year-olds); Peru: 1,963 (5-year-olds), 685 (12-year-olds); Vietnam: 1,970 (5-year-olds), 990 (12-year-olds)|
|Method of data collection:||
|Weighting:||No weighting used.|
|ACCESS TO INFORMATION||ACCESS TO PUBLIC SERVICES||ACCIDENTS|
|ALIMONY||ANDHRA PRADESH||ANIMAL HUSBANDRY|
|ANTHROPOMETRIC DATA||ARABLE FARMING||ASPIRATION|
|BREAST-FEEDING||BUILDING MAINTENANCE||CARE OF DEPENDANTS|
|CHILD LABOUR||CHILD WORKERS||CHILDBIRTH|
|COMMUNITY ACTION||COMMUNITY BEHAVIOUR||COMMUNITY PARTICIPATION|
|CONSCRIPTION||CONSUMER GOODS||COST OF LIVING|
|CRIME VICTIMS||CROP YIELDS||CROPS|
|CULTURAL GOODS||DAY NURSERIES||DEATH|
|DOMESTIC APPLIANCES||EDUCATIONAL BACKGROUND||EDUCATIONAL CHOICE|
|EDUCATIONAL FEES||ELECTRIC POWER||EMOTIONAL STATES|
|FAMILIES||FAMILY LIFE||FAMILY MEMBERS|
|FAMILY PLANNING||FARM VEHICLES||FATHER'S EDUCATIONAL BACKGROUND|
|FINANCIAL RESOURCES||FINANCIAL SUPPORT||FOOD AID|
|HEIGHT (PHYSIOLOGY)||HOME OWNERSHIP||HOUSEHOLD BUDGETS|
|HOUSEHOLD INCOME||HOUSEHOLDS||HOUSING CONSTRUCTION|
|HOUSING IMPROVEMENT||ILL HEALTH||IMMUNIZATION|
|INJURIES||LABOUR DISPUTES||LAND OWNERSHIP|
|MARITAL STATUS||MARRIAGE DISSOLUTION||MEALS|
|PERSONAL FINANCE MANAGEMENT||PERU||POVERTY|
|PREGNANCY||PREMATURE BIRTHS||PRE-PRIMARY EDUCATION|
|PRIVATE VOLUNTARY ORGANIZATIONS||PURCHASING||QUALITY OF LIFE|
|RELIGIOUS AFFILIATION||RESIDENTIAL MOBILITY||RESPONSIBILITY|
|SIBLINGS||SMALL BUSINESSES||SOCIAL CAPITAL|
|SOCIAL CLASS||SOCIAL NETWORKS||SOCIAL SECURITY BENEFITS|
|SOCIAL SUPPORT||SPOUSES||STANDARD OF LIVING|
|STRUCTURAL ELEMENTS (BUILDINGS)||STUDENT ATTITUDE||STUDENT BEHAVIOUR|
|THEFT||TIME BUDGETS||TRADE UNION MEMBERSHIP|
|TRUANCY||TRUST||UNITS OF MEASUREMENT|
|URBAN AREAS||VIET NAM||VOTING BEHAVIOUR|
|WATER POLLUTION||WATER SERVICES (BUILDINGS)||WEIGHT (PHYSIOLOGY)|
|Date of release:|
|First edition:||19 September 2011|
|Latest edition:||24 April 2014 (2nd Edition)|
|Copyright:||Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queens Printer for Scotland|
|Access conditions:||The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See terms and conditions of access for further information.|
|Availability:||UK Data Service|
|Contact:||Get in touch|
|Title||File Name||Size (KB)|
|Community Data Dictionaries - Round 2||6852comm_data_dictionaries_r2.pdf||2520|
|Community Questionnaires - Round 2||6852comm_questionnaires_r2.pdf||2917|
|Consent Forms - Round 2||6852consent_forms_r2.pdf||1019|
|Ethiopia Data Dictionaries - Round 2||6852data_dictionaries_ethiopia_r2.pdf||1434|
|India Data Dictionaries - Round 2||6852data_dictionaries_india_r2.pdf||1304|
|Peru Data Dictionaries - Round 2||6852data_dictionaries_peru_r2.pdf||1108|
|Vietnam Data Dictionaries - Round 2||6852data_dictionaries_vietnam_r2.pdf||1289|
|Fieldwork Instructions - Round 2||6852fieldwork_instructions_r2.pdf||3143|
|Methodology - Round 2||6852methodology_r2.pdf||373|
|Sampling Guide: Longitudinal Survey||6852methods_guide_the_longitudinal_survey.pdf||379|
|Ethiopia Questionnaires - Round 2||6852questionnaires_ethiopia_r2.pdf||5242|
|India Questionnaires - Round 2||6852questionnaires_india_r2.pdf||2125|
|Peru Questionnaires - Round 2||6852questionnaires_peru_r2.pdf||2511|
|Vietnam Questionnaires - Round 2||6852questionnaires_vietnam_r2.pdf||4642|
|Technical Note 15 - Annexes||6852technical_note15_annexes_r2.pdf||2272|
|Psychometric characteristics of cognitive development and achievement instruments in Round 2 of Young Lives - (Technical Note 15)||6852technical_note15_r2.pdf||565|
|Study information and citation||UKDA_Study_6852_Information.htm||6|
By principal investigator(s):
Publications and working papers associated with the project can be viewed online and downloaded from the Young Lives Publications webpages.
Resulting from secondary analysis:
Crookston, B.T. et al., (2010) 'Impact of early and concurrent stunting on cognition', Maternal and Child Nutrition, no. doi: 10.1111/j.1740-8709.2010.00255.x . Retrieved October 1, 2010 from http://onlinelibrary.wiley.com/doi/10.1111/j.1740-8709.2010.00255.x/full (may require subscription to view).
Crookston, B.T. et al., (2010) 'Children who recover from early stunting and
children who are not stunted demonstrate similar levels of cognition', Journal of Nutrition, September. doi: 10.3945/jn.109.118927.
Tesfay, N. and Malmberg, L.E (2014) 'Horizontal inequalities in children's educational outcomes in Ethiopia', International Journal of Educational Development, November, pp.110-120.
Vellakkal, S., Fledderjohann, J., Basu, S., Agrawal, S., Ebrahim, S., Campbell, O., Doyle, P. and Stuckler, D. (2015) 'Food price spikes are associated with increased malnutrition among children in Andhra Pradesh, India', Journal of Nutrition. doi: 10.3945/jn.115.211250
Upadhyay, A.K., Singh, A., Kumar, K., et al. (2015) 'Impact of indoor air pollution from the use of solid fuels on the incidence of life threatening respiratory illnesses in children in India', BMC Public Health, 15: 300. doi: 10.1186/s12889-015-1631-7
Singh, A., Upadhyay, A.K. and Kumar, K. (2016) 'Birth size, stunting and recovery from stunting in Andhra Pradesh, India: evidence from the Young Lives Study', Maternal and Child Health Journal, pp.1-17. doi:10.1007/s10995-016-2132-8
Singh, A., Upadhyay, A.K., Singh, A. and Kumar, K. (2017) 'The sssociation between unintended births and poor child development in India: evidence from a longitudinal study', Studies in Family Planning, 48, pp.55–71. doi:10.1111/sifp.12017
Kumar, S.M. (2017) 'Comparing private and government schools in India: the devil is in the maths', Applied Economics Letters, (0), pp.1–6. doi:10.1080/13504851.2017.1327118