Table 5

Falsification test

(1)(2)(3)(4)(5)(6)
GreenEnergyAll innovative start-ups
UEFA champions league (Champ)
Champ0.0002−0.0002−0.007−0.006−0.004−0.004
(0.004)(0.003)(0.005)(0.005)(0.003)(0.003)
[0.980][0.980][0.574][0.622][0.574][0.574]
ln_Champ_Health−0.464−0.577−2.346−2.323−1.257−1.328
(1.061)(1.034)(2.011)(1.989)(0.631)**(0.622)**
[0.883][0.883][0.574][0.574][0.558][0.558]
ln_Champ_Job−0.457−0.339−1.097−0.951−0.494−0.546
(0.543)(0.533)(0.768)(0.792)(0.351)(0.335)
[0.741][0.883][0.574][0.574][0.574][0.574]
ln_Champ_Edu0.0200.026−0.054−0.025−0.0080.015
(0.098)(0.084)(0.099)(0.094)(0.084)(0.058)
[0.980][0.980][0.883][0.883][0.980][0.980]

Note(s): Each cell corresponds to the estimate of the coefficient of the Google Trends for “UEFA Champions League” in the negative binomial regression. Columns (1) and (2) report the results for number of green firms without and with controls, respectively. Similar results are reported for the number of firms in the energy sectors in columns (3) and (4), and the number of all innovative start-ups in columns (5) and (6). Standard errors, clustered at the region level, are reported in parentheses. The corresponding p-values corrected for the false discovery rate, [q-values], are reported in brackets. ∗∗∗, ∗∗ and correspond to significance at the 1%, 5 and 10%, respectively

Source(s): Authors’ own creation

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