Likelihood of nepotism for macro-sector.

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 -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“***” (), “**” (), “*” (), NS (), NA (no data available for the coefficient).