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. Author manuscript; available in PMC: 2016 May 1.
Published in final edited form as: J Health Econ. 2015 Feb 21;41:107–116. doi: 10.1016/j.jhealeco.2015.01.005

Table F1.

Finite Mixture Model

Dependent Variable: High School IQ
2-component (1) 3-component (2)
Component 1
Std. Birth Weight 1.3961*** (0.4697) 1.4319*** (0.4726)
Birth Order −1.1412*** (0.4374) −1.0880** (0.4427)
Birth Year 0.7766*** (0.1243) 0.7651*** (0.1255)
Family SES 0.3460*** (0.0490) 0.3422*** (0.0495)
Component 2
Std. Birth Weight 0.8315*** (0.0471) 0.8313*** (0.0479)
Birth Order −1.6836*** (0.0282) −1.6835*** (0.0281)
Birth Year 0.8127*** (0.0056) 0.8127*** (0.0056)
Family SES −0.8660*** (0.0027) −0.8660*** (0.0027)
Component 3
Std. Birth Weight 1.4582*** (0.1405)
Birth Order −8.4545*** (0.1256)
Birth Year 0.7823*** (0.0222)
Family SES 0.0212*** (0.0034)
p-value, comp.1 = comp.2 0.23 –
p-value, comp.1 = comp.2 = comp.3 – 0.00
Obs. 938 938
BIC 7,654.51 7,685.46

Notes: This table presents estimates from a finite mixture model. Given the relatively smaller, bur roughly similar, BIC, the 2-component model is preferred. For convergence of the model, a simpler set of controls is used. This set includes birth year, birth order, and family SES. Additionally, no weights are used in estimation.