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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 7483 Young Lives: an International Study of Childhood Poverty: Rounds 1-5 Constructed Files, 2002-2016 748310.5255/UKDA-SN-7483-5 Boyden, J., University of Oxford, Queen Elizabeth House Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queens Printer for Scotland Department for International Development UK Data Service 24 April 2014 EDUCATIONAL TESTSAGEBEREAVEMENTSCHOOLCHILDRENHOUSEHOLDSFAMILIESMOTHERSCHILDRENFATHERSBIRTH WEIGHTHEALTHPOVERTYEDUCATIONAL BACKGROUNDLITERACYLANGUAGE SKILLSETHNIC GROUPSDISASTERSFOSSIL FUELSLIVESTOCKHEIGHT (PHYSIOLOGY)WEIGHT (PHYSIOLOGY)HOUSEHOLD BUDGETSLAND OWNERSHIPURBAN AREASRURAL AREASINFORMAL CAREFOODCOST OF LIVINGCONSUMER GOODSTIME BUDGETSTHEFTANTHROPOMETRIC DATACONSCRIPTIONIMPRISONMENTSLEEPDOMESTIC RESPONSIBILITIESMIGRATION (HUMAN)HOUSING CONDITIONSBUILDING SERVICESWATER PROPERTIESANXIETYRELIGIOUS AFFILIATIONANTENATAL CARELEISURE TIMEHEALTH STATUS ChildrenTime useSocial conditions and indicatorsYouth <P>Abstract copyright UK Data Service and data collection copyright owner.</P><div>The <span style="font-style: italic;">Young Lives</span> survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the <span style="font-style: italic;">Listening to Young Lives at Work: COVID-19 Phone Survey</span>.</div><div><br>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, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 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.<br><br></div><div>The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).</div><div><br>The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.<br><br>Further information about the survey, including publications, can be downloaded from the <a href="https://www.younglives.org.uk/" title="Young Lives" target="_blank" style="background-color: rgb(255, 255, 255);">Young Lives</a> website.</div> <br><p><b>Constructed Files:</b><br> The <i>Rounds 1-5 Constructed Files, 2002-2016</i>&nbsp;are combined sub-sets of selected variables from Rounds 1-5 of the Young Lives survey. One main constructed data file is available for each of the four countries. These are presented in a panel format and contain approximately 200 original and constructed variables, with the majority comparable across all five rounds. The Stata syntax (.do) files which have been used to create the constructed data files are also included for information.<br><br><span style="font-style: italic;">Latest edition information:</span><br>For the fifth edition (September 2022), five additional datasets have been included to add recently calculated Item Response Theory (IRT) scores to create comparative scores for cognitive tests across Rounds and Cohorts in the four Young Lives countries. Cognitive and achievement measures administered and included in these datasets are the Peabody Picture of Vocabulary Test (PPVT), maths achievement and reading comprehension. For more detail on the psychometric analysis carried using IRT, please see the Technical note, Equating Cognitive Scores across Rounds and Cohorts for Young Lives in Ethiopia, India, Peru and Vietnam, included in the study documentation.</p><B>Main Topics</B>:<BR><p>The variables included in the main constructed data files have been classified in four broad groups: panel information, general characteristics, household characteristics, and child characteristics.<br><br>Item Response Theory (IRT) standardised cognitive measures scores are also included based on the Peabody Picture of Vocabulary Test (PPVT), maths achievement and reading comprehension completed by older and younger cohort members.<br></p> 2002 - 201601 January 200201 January 2016 EthiopiaIndiaPeruVietnam Andhra Pradesh IndividualsFamilies/householdsCross-nationalSubnational Young Lives children and their households, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, in 2002-2016. Numeric Longitudinal/panel/cohort Purposive selection/case studies Compilation/Synthesis <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.</p> See <restrctn> https://www.younglives.org.uk/ Miller, R. (2022) 'The effect of private schools on measures of socioemotional development in adolescence: evidence from India', Journal of Human Capital 16(2). doi:10.1086/719729 https://www.journals.uchicago.edu/doi/10.1086/719729 Astatkie, A. (2020) 'Dynamics of stunting from childhood to youthhood in Ethiopia: evidence from the Young Lives panel data', PLoS ONE 15(2): e0229011.doi:10.1371/journal.pone.0229011 https://doi.org/10.1371/journal.pone.0229011 Ahmed, S. and Ray, R. (2018) 'Do in utero shocks have adverse effects on child health outcomes and can welfare schemes ameliorate such effects? Evidence from Andhra Pradesh, India', Journal of Biosocial Science, 50(6), pp.770-799. doi:10.1017/S0021932017000591 https://doi.org/10.1017/s0021932017000591 Oldroyd, R., Rahman, S., DeRose, L.F. et al. (2022) 'Family structure transitions: prevalence and physical health effects in Ethiopia, India, Peru, and Vietnam', Journal of Child and Family Studies, 31, pp.1749–1760. doi:10.1007/s10826-021-02148-2 https://doi.org/10.1007/s10826-021-02148-2 Oldroyd, R., DeRose, L.F., Pluess, M. and Hadfield, K. (2023) 'A test of the instability hypothesis in low- and middle-income countries. J Fam Psychol., Sep 37(6): pp.786-795. doi:10.1037/fam0001118. Epub 2023 Jun 22. PMID: 37347903. https://doi.org/10.1037/fam0001118 Koenings, F. and Schwab, J. (2025) Accounting for Intergenerational Educational Immobility in Low- and Middle-Income Countries, Journal of Human Resources doi:10.3368/jhr.0321-11554R3 https://doi.org/10.3368/jhr.0321-11554R3 Astatkie, A. (2020) 'Dynamics of stunting from childhood to youthhood in Ethiopia: evidence from the Young Lives panel data'<i>, PLoS ONE</i>, 15, 2, e0229011, https://doi.org/10.1371/journal.pone.0229011. https://doi.org/10.1371/journal.pone.0229011 Miller, R., &amp; Karra, M. (2020) 'Birth spacing and child health trajectories'. Population and Development Review, 46(2), 347–371. https://onlinelibrary.wiley.com/doi/full/10.1111/padr.12335 https://oai.ukdataservice.ac.uk:8443/oai/provider 7483 2025-12-23T06:27:38Z ddi:codebook:2_5