2010
DOI: 10.1007/s10680-010-9218-6
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H. Engelhardt, H.-P. Kohler, and A. Prskawetz (eds), Causal Analysis in Population Studies: Concepts, Methods, Applications

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“…3 As a further robustness check we also varied the age range (20-24; 25-29; 30-34) and the age bandwidth (36-40; 36-41; 37-40). 4 For a recent debate on the application of causal inference designs in population studies see: Bhrolcháin and Dyson 2007;Duncan et al 2007;Engelhardt, Kohler, and Fürnkranz-Prskawetz 2009;Fricke 2003;Hoem 2010;Moffitt 2003Moffitt , 2005Neyer and Andersson 2008;Russo and Williamson 2011;Smith 2009Smith , 2014Xie 2007Xie , 2013 In a different context, Dinas and Stoker (2014) (born between 1964 and 1975) has been conducted (figures not shown but available upon request). The two trends do not fit perfectly (the difference is roughly around 5%) but they are parallel.…”
Section: Complementary Analysesmentioning
confidence: 99%
“…3 As a further robustness check we also varied the age range (20-24; 25-29; 30-34) and the age bandwidth (36-40; 36-41; 37-40). 4 For a recent debate on the application of causal inference designs in population studies see: Bhrolcháin and Dyson 2007;Duncan et al 2007;Engelhardt, Kohler, and Fürnkranz-Prskawetz 2009;Fricke 2003;Hoem 2010;Moffitt 2003Moffitt , 2005Neyer and Andersson 2008;Russo and Williamson 2011;Smith 2009Smith , 2014Xie 2007Xie , 2013 In a different context, Dinas and Stoker (2014) (born between 1964 and 1975) has been conducted (figures not shown but available upon request). The two trends do not fit perfectly (the difference is roughly around 5%) but they are parallel.…”
Section: Complementary Analysesmentioning
confidence: 99%