How transformative are transformative agreements? Evidence from Germany across disciplines

Table 5 Marginal effects separated by discipline

	AME	Std.Err.	t-stat.	p-value	95% CI		N
Env. Studies	0.0047	0.0144	0.32	0.746	− 0.0237	0.0330	862,043
Philosophy	− 0.0124	0.0188	− 0.66	0.509	− 0.0493	0.0245	98,718
Physics	− 0.0102	0.0125	− 0.82	0.413	− 0.0348	0.0143	917,083
Psychology	0.0132	0.0146	0.90	0.368	− 0.0155	0.0419	408,332
Material Sc.	0.0302\(^{*}\)	0.0165	1.82	0.069	− 0.0023	0.0626	785,064
Chemistry	0.0338\(^{**}\)	0.0163	2.08	0.038	0.0018	0.0657	1,493,148
Dentistry	0.0243	0.0430	0.56	0.573	− 0.0605	0.1091	107,135
Economics	0.0503\(^{**}\)	0.0206	2.44	0.015	0.0098	0.0908	198,773
Multidiscipl.	− 0.0140	0.0166	− 0.85	0.398	− 0.0465	0.0185	1,255,401

\(^*\,p<0.1,\,^{**}\,p<0.05,\,^{***}\,p<0.01.\) Standard Errors heteroskedasticity-robust and clustered on the journal level. Observations for each regression reported in the last column on the right. The coefficients are plotted in Fig. 1 above