Growth faltering at the national level.
Source: Author calculations using Nigeria MICS 2016–17.
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2021
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| Online Access: | https://doi.org/10.1371/journal.pone.0260937.g001 |
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ftsmithonian:oai:figshare.com:article/17432057 |
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ftsmithonian:oai:figshare.com:article/17432057 2023-05-15T16:01:19+02:00 Growth faltering at the national level. Emmanuel Skoufias (11873777) Katja Vinha (11873780) 2021-12-23T18:37:42Z https://doi.org/10.1371/journal.pone.0260937.g001 unknown https://figshare.com/articles/figure/Growth_faltering_at_the_national_level_/17432057 doi:10.1371/journal.pone.0260937.g001 CC BY 4.0 CC-BY Medicine Neuroscience Biotechnology Sociology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two empirical approaches omitted variable bias mother &# 8217 early childhood development 2016 &# 8211 xlink "> data much wider set policy design based point estimates based statistically significant relationship hoc specification tend dml point estimates significant direct effect nigeria </ p ad hoc specification child ecd measures hoc specification direct effect much higher hoc manner employs data ecd ) dml specification indirect effect child stature child nutrition younger children urban areas sufficiently large serious enough select controls rural areas robust inferences reducing threats nutritional status internal validity driven methods double machine dml provides confidence interval complex picture chronic malnutrition average level analysis confirms absolute value Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0260937.g001 2022-01-06T11:38:56Z Source: Author calculations using Nigeria MICS 2016–17. Still Image DML Unknown |
| institution |
Open Polar |
| collection |
Unknown |
| op_collection_id |
ftsmithonian |
| language |
unknown |
| topic |
Medicine Neuroscience Biotechnology Sociology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two empirical approaches omitted variable bias mother &# 8217 early childhood development 2016 &# 8211 xlink "> data much wider set policy design based point estimates based statistically significant relationship hoc specification tend dml point estimates significant direct effect nigeria </ p ad hoc specification child ecd measures hoc specification direct effect much higher hoc manner employs data ecd ) dml specification indirect effect child stature child nutrition younger children urban areas sufficiently large serious enough select controls rural areas robust inferences reducing threats nutritional status internal validity driven methods double machine dml provides confidence interval complex picture chronic malnutrition average level analysis confirms absolute value |
| spellingShingle |
Medicine Neuroscience Biotechnology Sociology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two empirical approaches omitted variable bias mother &# 8217 early childhood development 2016 &# 8211 xlink "> data much wider set policy design based point estimates based statistically significant relationship hoc specification tend dml point estimates significant direct effect nigeria </ p ad hoc specification child ecd measures hoc specification direct effect much higher hoc manner employs data ecd ) dml specification indirect effect child stature child nutrition younger children urban areas sufficiently large serious enough select controls rural areas robust inferences reducing threats nutritional status internal validity driven methods double machine dml provides confidence interval complex picture chronic malnutrition average level analysis confirms absolute value Emmanuel Skoufias (11873777) Katja Vinha (11873780) Growth faltering at the national level. |
| topic_facet |
Medicine Neuroscience Biotechnology Sociology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified two empirical approaches omitted variable bias mother &# 8217 early childhood development 2016 &# 8211 xlink "> data much wider set policy design based point estimates based statistically significant relationship hoc specification tend dml point estimates significant direct effect nigeria </ p ad hoc specification child ecd measures hoc specification direct effect much higher hoc manner employs data ecd ) dml specification indirect effect child stature child nutrition younger children urban areas sufficiently large serious enough select controls rural areas robust inferences reducing threats nutritional status internal validity driven methods double machine dml provides confidence interval complex picture chronic malnutrition average level analysis confirms absolute value |
| description |
Source: Author calculations using Nigeria MICS 2016–17. |
| format |
Still Image |
| author |
Emmanuel Skoufias (11873777) Katja Vinha (11873780) |
| author_facet |
Emmanuel Skoufias (11873777) Katja Vinha (11873780) |
| author_sort |
Emmanuel Skoufias (11873777) |
| title |
Growth faltering at the national level. |
| title_short |
Growth faltering at the national level. |
| title_full |
Growth faltering at the national level. |
| title_fullStr |
Growth faltering at the national level. |
| title_full_unstemmed |
Growth faltering at the national level. |
| title_sort |
growth faltering at the national level. |
| publishDate |
2021 |
| url |
https://doi.org/10.1371/journal.pone.0260937.g001 |
| genre |
DML |
| genre_facet |
DML |
| op_relation |
https://figshare.com/articles/figure/Growth_faltering_at_the_national_level_/17432057 doi:10.1371/journal.pone.0260937.g001 |
| op_rights |
CC BY 4.0 |
| op_rightsnorm |
CC-BY |
| op_doi |
https://doi.org/10.1371/journal.pone.0260937.g001 |
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1766397227869143040 |