Table D3.

Determinants of Mobility: Child Age (OLS and OLS with Fixed Effects)

	(1)	(2)	(3)	(4)	(5)
A. OLS
Oldest kid 12 or 13	0.013** (0.003)		0.013** (0.003)
Youngest kid 18 or 19		0.010** (0.003)	0.011** (0.003)
Number of kids in high school				−0.006** (0.001)
At least one kid in high school					−0.011** (0.002)
B. OLS with Fixed Effects
Oldest kid 12 or 13	0.017** (0.003)		0.018** (0.003)
Youngest kid 18 or 19		0.009** (0.003)	0.010** (0.003)
Number of kids in high school				−0.007** (0.001)
At least one kid in high school					−0.010** (0.002)
Nb. of Observations	66,774	66,774	66,774	66,774	66,774
Nb. of Job Transitions	3,316	3,316	3,316	3,316	3,316
Nb. of Scientists	2,977	2,977	2,977	2,977	2,977

Notes: The dependent variable is a binary variable that takes on a value one in the year we observe the elite scientist moving to a new academic position located at least 50 miles away. Estimation is by Ordinary Least Squares (OLS). All specifications include individual productivity and peer variables, as well as full age, vintage category, and year fixed effects. Robust standard errors are in parentheses, clustered at the individual level. Panel B regressions include scientist-spell fixed effects. See Section III for a full description of how the sample and variables were constructed.

⁺ p < 0.10

* p < 0.05

^**p < 0.01