Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants
Afghanistan has been a country blighted by war over the past five decades and limited research is available on its demography. This study seeks to assess the suitability of recent survey data for Afghanistan (the 2010 Afghanistan Mortality Survey (AMS)and the 2015 Afghanistan Demographic and Health Survey (ADHS)) for estimating levels and trends in fertility. As several fertility measures rely on the quality of age data, we first apply demographic tools for the identification of age misreporting, finding evidence that it is severe. We then explore the consistency of fertility reporting across the two surveys, finding that the 2015 ADHS reports higher fertility among older women than the 2010 AMS although the seasonal pattern of fertility is consistent across the two surveys. We then estimate total fertility rates in 2008–2010 and 2012–2015 and measures of Bongaarts’s key proximate determinants of fertility for Afghanistan and its provinces for urban and rural areas separately. The results show that fertility is similar in urban and rural Afghanistan. Although most of the provincial data on the proximate determinants is reasonably consistent with the fertility rates, there are anomalies in some provinces which indicate the possible under-reporting of births. Overall, we conclude that the fertility data in the two surveys can be used with care to give an indication of broad regional fertility patterns and trends in the country.
Fertility, Afghanistan, Survey data
1-14
Nasir, Jamal Abdul
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Akhtar, Sohail
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Zaidi, Syed Arif Ahmed
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Rani, Andleeb
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Bano, Hina
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Hinde, Andrew
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16 October 2019
Nasir, Jamal Abdul
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Akhtar, Sohail
f430b1be-297f-40b1-8730-a2dfa58e3a98
Zaidi, Syed Arif Ahmed
291de240-18de-4004-a3c5-3db573456455
Rani, Andleeb
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Bano, Hina
076f6aa6-671f-42c9-95f6-a82d53d2b2a0
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Nasir, Jamal Abdul, Akhtar, Sohail, Zaidi, Syed Arif Ahmed, Rani, Andleeb, Bano, Hina and Hinde, Andrew
(2019)
Is recent Afghanistan survey data suitable for fertility analysis? A regional investigation based on fertility inhibiting determinants.
PLoS ONE, 14 (10), , [223111].
(doi:10.1371/journal.pone.0223111).
Abstract
Afghanistan has been a country blighted by war over the past five decades and limited research is available on its demography. This study seeks to assess the suitability of recent survey data for Afghanistan (the 2010 Afghanistan Mortality Survey (AMS)and the 2015 Afghanistan Demographic and Health Survey (ADHS)) for estimating levels and trends in fertility. As several fertility measures rely on the quality of age data, we first apply demographic tools for the identification of age misreporting, finding evidence that it is severe. We then explore the consistency of fertility reporting across the two surveys, finding that the 2015 ADHS reports higher fertility among older women than the 2010 AMS although the seasonal pattern of fertility is consistent across the two surveys. We then estimate total fertility rates in 2008–2010 and 2012–2015 and measures of Bongaarts’s key proximate determinants of fertility for Afghanistan and its provinces for urban and rural areas separately. The results show that fertility is similar in urban and rural Afghanistan. Although most of the provincial data on the proximate determinants is reasonably consistent with the fertility rates, there are anomalies in some provinces which indicate the possible under-reporting of births. Overall, we conclude that the fertility data in the two surveys can be used with care to give an indication of broad regional fertility patterns and trends in the country.
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Is recent Afghanistan survey data
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Accepted/In Press date: 15 September 2019
Published date: 16 October 2019
Keywords:
Fertility, Afghanistan, Survey data
Identifiers
Local EPrints ID: 435746
URI: http://eprints.soton.ac.uk/id/eprint/435746
ISSN: 1932-6203
PURE UUID: f497e64b-1789-4c39-bd05-39815b0422a2
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Date deposited: 19 Nov 2019 17:30
Last modified: 17 Mar 2024 02:39
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Contributors
Author:
Jamal Abdul Nasir
Author:
Sohail Akhtar
Author:
Syed Arif Ahmed Zaidi
Author:
Andleeb Rani
Author:
Hina Bano
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