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. 2011 Aug 3;6(8):e21160. doi: 10.1371/journal.pone.0021160

Table 1. Likelihood of nepotism for macro-sector.

Macro-sector People Names Expected Inline graphic-value Distance Institution Micro Latitude
Industrial Engineering 3180 2691 2759.4 Inline graphic10 Inline graphic − (***) + (***) + (*) − (***)
Law 5144 4031 4207.7 Inline graphic10 Inline graphic − (***) + (***) + (**) − (***)
Medical sciences 10783 7471 7783.2 Inline graphic10 Inline graphic − (***) + (***) + (***) − (***)
Geography 377 359 368.3 0.004 − (**) + (NS) + (NS) − (***)
Pedagogy 675 634 648.8 0.005 − (***) + (***) + (*) − (***)
Agriculture 2345 2058 2095.8 0.007 − (***) + (***) + (**) − (***)
Civil Engineering 3836 3206 3259.1 0.008 − (***) + (***) + (*) − (***)
Mathematics 2531 2214 2246.5 0.024 − (***) + (***) + (***) − (***)
Chemistry 3129 2686 2719.8 0.039 − (***) + (***) + (NS) − (***)
History 1453 1329 1346.1 0.054 − (**) + (NS) − (NS) − (NS)
Earth sciences 1196 1107 1120.8 0.065 − (***) − (NS) + (NS) − (**)
Philosophy 1125 1045 1057.7 0.071 − (**) + (**) + (NS) − (***)
Statistics 1212 1123 1134.9 0.097 − (***) + (**) − (NS) − (***)
Political sciences 1792 1622 1636.6 0.124 − (***) + (*) − (NS) − (NS)
Veterinary 847 800 807.0 0.152 − (***) + (***) + (***) − (***)
Life sciences 5140 4180 4204.9 0.179 − (***) + (***) + (***) − (***)
Informatics 834 789 795.2 0.182 − (***) + (NS) + (NA) + (NS)
Physics 2472 2187 2198.9 0.232 − (***) + (***) − (NS) − (***)
Economics 3806 3221 3236.6 0.242 − (***) + (***) + (***) − (***)
Philology 1780 1618 1626.4 0.254 − (***) + (**) + (NS) − (***)
Physical education 138 136 136.8 0.346 − (NS) − (NS) − (NS) − (NS)
Electronic Engineering 2089 1881 1885.4 0.386 − (***) + (**) + (NS) − (*)
Art history 815 776 777.8 0.407 − (NS) + (NS) − (NS) − (NS)
Archeology 704 678 675.7 0.692 − (***) + (NS) + (NS) − (NS)
Near eastern studies 317 312 310.8 0.738 − (NS) − (NS) − (NS) − (NS)
Psychology 1252 1176 1170.3 0.754 − (***) + (NS) − (NS) + (NS)
Linguistics 2173 2000 1954.8 Inline graphic0.999 − (**) + (*) + (NS) − (***)
Demography & ethnology 195 195 192.6 1.000 + (NS) + (NS) + (NA) + (NS)

For each macro-sector, I report the results from Monte Carlo simulations: number of researchers in the discipline (“People”), the number of distinct last names (“Names”), the expected number of last names (“Expected”), and the associated Inline graphic-value, measuring how probable it is to find an equal or lower number of names at random. I also report the results from the logistic regression models: effects and the statistical significance of geographic distance (“Distance”), sharing the same institution (“Institution”), sharing the same micro-sector (“Micro”) and the average latitude (“Latitude”) on the probability that two researcher in any discipline have the same name. Magnitude of the coefficients and probabilities are reported in the Supplementary Tables 3, 4, 5, 6 in Supporting Information S1. Significance levels“***” (Inline graphic), “**” (Inline graphic), “*” (Inline graphic), NS (Inline graphic), NA (no data available for the coefficient).