2020
DOI: 10.1007/s11698-020-00205-2
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Height in twentieth-century Chilean men: growth with divergence

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Cited by 12 publications
(20 citation statements)
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References 37 publications
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“…Although we are not analyzing the trend of mean heights through birth decades, our data also show height stagnation during the 1880s–1910s and a slight decline during the 1920s–1930s. This is very much in line with the main findings of the previous studies [ 5 , 6 , 7 ].…”
Section: Introductionsupporting
confidence: 93%
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“…Although we are not analyzing the trend of mean heights through birth decades, our data also show height stagnation during the 1880s–1910s and a slight decline during the 1920s–1930s. This is very much in line with the main findings of the previous studies [ 5 , 6 , 7 ].…”
Section: Introductionsupporting
confidence: 93%
“…Finally, the industrial sector slightly improved its share within the whole economy, but there was no structural change in the Chilean economy. There was economic growth, but little development [ 7 , 59 ].…”
Section: Methodology Sources and Nature Of Our Samplementioning
confidence: 99%
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“…We also calculated wild bootstrapped standards errors, because we have only 16 provinces at the minimum, using the methodology by Cameron et al (2015). Llorca-Jaña et al (2019, 2020aand 2020b; for conflict, Instituto Geográfico Militar de Chile (2018); for epidemics, Urrutia and Lanza (1993); for cattle per capita, Llorca-Jaña et al (2020c). level.…”
Section: Discussionmentioning
confidence: 99%
“…Moradi and Baten 2006, Baten and Mumme 2013and Van Zanden et al 2014a have analyzed this measure in a consistent econometric framework. This methodology allowed us to draw on the substantial height data set collected by Llorca-Jaña et al (2018b, 2020aand 2020b, who recorded military height, for the 18th to 20th century in large samples. The big advantage was that for most of the period this height data stemmed from general conscription, so there was no selectivity in the sample and also no significant minimum height requirement before measurement.…”
Section: Estimation Of Regional Inequality Trendsmentioning
confidence: 99%