Table 5:
Panel A | Cardinal Measure |
Ordinal Measure |
||
---|---|---|---|---|
Intllct. Proximate Articles |
Intllct. Distant Articles |
Intllct. Proximate Articles |
Intllct. Distant Articles |
|
After Death | 0.091** (0.030) |
0.028 (0.035) |
0.117** (0.028) |
−0.024 (0.037) |
Nb. of Investigators | 6,228 | 6,099 | 6,260 | 6,017 |
Nb. of Fields | 33,375 | 32,232 | 34,218 | 31,712 |
Nb. of Field-Year Obs. | 1,228,157 | 1,186,589 | 1,259,176 | 1,167,423 |
Log Likelihood | −1,628,374 | −1,816,449 | −1,893,982 | −1,628,170 |
Panel B | In-field vs. Out-of-field References |
Backward Citations to the Star’sBibliome |
||
w/ in-field references |
w/o in-field references |
w/ references to the star |
w/o references to the star |
|
After Death | −0.023 (0.041) |
0.128** (0.031) |
0.078* (0.036) |
0.152** (0.034) |
Nb. of Investigators | 6,195 | 6,260 | 6,247 | 6,259 |
Nb. of Fields | 32,721 | 34,218 | 34,179 | 34,147 |
Nb. of Field-Year Obs. | 1,204,315 | 1,259,176 | 1,257,747 | 1,256,576 |
Log Likelihood | −792,803 | −2,510,350 | −1,914,447 | −1,767,579 |
Panel C | Vintage of Cited References |
Vintage of 2-way MeSH term combinations |
||
Young | Old | Young | Old | |
After Death | 0.071* (0.035) |
−0.010 (0.034) |
0.090** (0.033) |
0.029 (0.036) |
Nb. of Investigators | 6,260 | 6,260 | 6,258 | 6,260 |
Nb. of Fields | 34,218 | 34,214 | 34,206 | 34,210 |
Nb. of Field-Year Obs. | 1,259,176 | 1,259,044 | 1,258,732 | 1,258,906 |
Log Likelihood | −2,124,598 | −1,613,454 | −1,853,064 | −1,784,279 |
Note: Estimates stem from conditional (subfield) fixed effects Poisson specifications. In Panel A, the dependent variable is the total number of publications by non-collaborators in a subfield in a particular year, where these publications can either be proximate in intellectual space to the star’s source publication, or more distant (in the PMRA sense). Since PMRA generates both a cardinal and an ordinal measure of intellectual proximity, we parse the related articles using both measures, yielding a total of four different specifications. For the cardinal measure, a related article is deemed proximate if its similarity score is above .58, which corresponds to the median of relatedness in the sample. For the ordinal measure, a related article is deemed proximate if its similarity rank is below 90, which also corresponds to the median of similarity in the sample. In Panel B, we focus on whether the content of entrants’ contributions in the subfield change after the superstar passes away. Each cited reference in a related article can either belong to the subfield, or fall outside of it; it can cite a publication of the star scientist associated with the subfield, or fail to cite any of the star’s past contributions. In Panel C, the dependent variable is the total number of publications by non-collaborators in a subfield in a particular year, where these publications can either be “fresh” (citing young references, or being annotated by MeSH terms of recent vintage) or stale (citing old references, or being annotated by MeSH terms of distant vintage). 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 the first column of Panel A imply that treated subfields see an increase in the number of PMRA-proximate contributions by non-collaborators after the superstar passes away—a statistically significant 100×(exp[0.091]-1)=9.53%. Robust standard errors in parentheses, clustered at the level of the star scientist.
p < 0.10,
p < 0.05,
p < 0.01.