Table D4.
(1) | (2) | (3) | (4) | (5) | |
---|---|---|---|---|---|
A. OLS | |||||
Oldest kid 11, 12, or 13 | −0.000 (0.002) | −0.000 (0.002) | |||
Youngest kid 18, 19, or 20 | 0.001 (0.001) | 0.001 (0.001) | |||
Number of kids in high school | 0.001 (0.001) | ||||
At least one kid in high school | 0.001 (0.001) | ||||
B. OLS with Fixed Effects | |||||
Oldest kid 11, 12, or 13 | −0.001 (0.001) | −0.001 (0.001) | |||
Youngest kid 18, 19, or 20 | 0.001 (0.001) | 0.001 (0.001) | |||
Number of kids in high school | 0.000 (0.001) | ||||
At least one kid in high school | 0.001 (0.001) | ||||
Nb. of Observations | 55,609 | 55,609 | 55,609 | 55,609 | 55,609 |
Nb. of Job Transitions | 2,072 | 2,072 | 2,072 | 2,072 | 2,072 |
Nb. of Scientists | 2,037 | 2,037 | 2,037 | 2,037 | 2,037 |
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 within 50 miles. Distant movers (scientists moving more than 50 miles away) are excluded from this analysis. 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. Panel B regressions include scientist-spell fixed effects. Robust standard errors are in parentheses, clustered at the individual level. See Section III for a full description of how the sample and variables were constructed.
+ p < 0.10
* p < 0.05
** p < 0.01