. Author manuscript; available in PMC: 2018 Apr 1.

Published in final edited form as: Am Sociol Rev. 2017 Mar 7;82(2):328–360. doi: 10.1177/0003122417695791

Table 2.

Regression of GPA Rank on Grandparents’ Wealth and Control Variables.

	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
GPs’ net worth rank	0.2342^***	0.2255^***^†	0.1736^***^†	0.1595^***^†	0.1510^***^†	0.1191^***^†	0.1022^***	0.1183^***
GPs’ education value, rank			0.1641^***	0.1202^***	0.1046^***	0.0702^***	−0.0349^***	−0.0363^***
GPs’ occupation value, rank				0.0824^***	0.0775^***	0.0504^***	0.0506^***	0.0414^***
GPs’ ln perm. income, rank					0.0487^***	0.0414^***	0.0122	0.0352^***
GPs’ net worth rank squared							0.0161
GPs’ education value, rank squared							0.1214^***	0.1228^***
GPs’ occupation value, rank squared							−0.0108
GPs’ ln perm. income, rank squared							0.0224
Gender, immigration, birth years, deaths	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
GP divorced/es		Yes	Yes	Yes	Yes	Yes	Yes	Yes
GP fixed effect						Yes	Yes	Yes

# Individuals	1,010,584	1,010,584	1,010,584	1,010,584	1,010,584	1,010,584	1,010,584	1,010,584
# Cousin FE						448,931	448,931	448,931
Adjusted R2	0.1432	0.1462	0.1697	0.174	0.1753	0.086	0.0864	0.0863

Note: Statistical significance levels at p<.05,

^**

p<.01,

^***

p<.001 based on two-tailed tests, standard errors adjusted for clustering within patrilineal grandparents.

^†

Coefficient statistically different from previous model with p <.05 (test only conducted for GP net worth). C = children, P = parents, GP = grandparents. Ranks are continuous and vary between 0 and 1.