Table 4:

Scientific Impact of Entry

	Vintage-specific long-run citation quantile
	All Pubs	Bttm. Quartile	2nd Quartile	3rd Quartile	Btw. 75th and 95th pctl.	Btw. 95th and 99th pctl.	Above 99th pctl.
After Death	0.082** (0.029)	−0.028 (0.036)	0.008 (0.033)	0.031 (0.032)	0.125** (0.035)	0.232** (0.049)	0.320** (0.081)
Nb. of Investigators	6,260	6,222	6,260	6,257	6,255	6,161	5,283
Nb. of Fields	34,218	33,714	34,206	34,212	34,210	33,207	21,852
Nb. of Field-Year Obs.	1,259,176	1,240,802	1,258,738	1,258,954	1,258,880	1,221,952	804,122
Log Likelihood	−2,768,257	−689,467	−1,125,554	−1,432,227	−1,469,094	−542,731	−156,519

Note: Estimates stem from conditional (subfield) fixed effects Poisson specifications. The dependent variable is the total number of publications by non-collaborators in a subfield in a particular year, where these publications fall in a particular quantile bin of the long-run, vintage-adjusted citation distribution for the universe of journal articles in PubMed. All models incorporate a full suite of year effects and subfield age effects, as well as a term common to both treated and control subfields that switches from zero to one after the death of the star. Exponentiating the coefficients and differencing from one yield numbers interpretable as elasticities. For example, the estimates in column (1), Panel A, imply that treated subfields see an increase in the number of contributions by non-collaborators after the superstar passes away—a statistically significant 100×(exp[0.082]-1)=8.55%.

Robust standard errors in parentheses, clustered at the level of the star scientist.

^†p < 0.10,

^*p < 0.05,

^**p < 0.01.