Misreporting Month of Birth:Diagnosis and Implications for Research on Nutrition and Early Childhood in Developing Countries
| Autor: | Derek Headey, Anna Folke Larsen, William A. Masters |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
Month of birth 030309 nutrition & dietetics Child age Developing country Child Nutrition Sciences Height-for-age Standard score Article Time Birth registration 03 medical and health sciences Child Development Measurement error Bias 0502 economics and business Humans Computer Simulation Early childhood 050207 economics Developing Countries Growth Disorders Demography Nutrition 0303 health sciences Stunting Research 05 social sciences Age Factors Infant Health Surveys Geography Child Preschool Random error Birth date Female |
| Zdroj: | Larsen, A F, Headey, D & Masters, W A 2019, ' Misreporting Month of Birth : Diagnosis and Implications for Research on Nutrition and Early Childhood in Developing Countries ', Demography, vol. 56, no. 2, pp. 707-728 . https://doi.org/10.1007/s13524-018-0753-9 Demography |
| DOI: | 10.1007/s13524-018-0753-9 |
| Popis: | A large literature has used children’s birthdays to identify exposure to shocks and estimate their impacts on later outcomes. Using height-for-age z scores (HAZ) for more than 990,000 children in 62 countries from 163 Demographic and Health Surveys (DHS), we show how random errors in birth dates create artifacts in HAZ that can be used to diagnose the extent of age misreporting. The most important artifact is an upward gradient in HAZ by recorded month of birth (MOB) from start to end of calendar years, resulting in a large HAZ differential between December- and January-born children of –0.32 HAZ points. We observe a second artifact associated with round ages, with a downward gradient in HAZ by recorded age in months, and then an upward step after reaching ages 2, 3, and 4. These artifacts have previously been interpreted as actual health shocks. We show that they are not related to agroclimatic conditions but are instead linked to the type of calendar used and arise mainly when enumerators do not see the child’s birth registration cards. We explain the size of the December–January gap through simulation in which 11 % of children have their birth date replaced by a random month. We find a minor impact on the average stunting rate but a larger impact in specific error-prone surveys. We further show how misreporting MOB causes attenuation bias when MOB is used for identification of shock exposure as well as systematic bias in the impact on HAZ of events that occur early or late in each calendar year. Electronic supplementary material The online version of this article (10.1007/s13524-018-0753-9) contains supplementary material, which is available to authorized users. |
| Databáze: | OpenAIRE |
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