International organizations, European Union access, and authority

Figures & data

Figure 1. Proportion

Figure 1. of IOs with EU access.

Table 1. Logistic regression estimates.

	(1)	(2)	(3)	(4)
	Base	Time	FE	EB
IO Authorityt-1	0.322**	0.276**	2.531***	1.917**
	(2.04)	(1.97)	(7.74)	(2.28)
Regional IO	−0.463	−0.0380
	(−0.59)	(−0.05)
Δ IOs	−0.452***	−0.381***	−0.614***
	(−3.25)	(−3.76)	(−4.38)
Constant	−1.631**	−3.385		−2.215***
	(−2.51)	(−1.33)		(−2.89)
χ^2	14.87**	32.32**	165.2***	5.212**
Log.-Lik	−856.5	−829.2	−419.5	−805.1
BIC	1756.9	1717.1	852.5	1624.9
N	1531	1531	870	1531

Note: Logistic regression. Issue-area fixed effects and time polynomials (Model 2) omitted from output. FE = fixed effects; EB = entropy balancing. Note that IO authority is dichotomized in the EB model. IO-clustered robust standard errors. T-statistics in parentheses. Interpretation: To obtain percentage changes, exponentiate the coefficient on the independent variable e^b. For a one-unit increase in IO authority in Model 1, the probability of EU access grows by e^0.32 = 1.38, yielding a percentage change of (1.38–1)*100 = 38%. Significance: ⁺ p < 0.10, ** p < 0.05, *** p < 0.01.

Figure 2. Predicted probability of IOs granting access to the EU conditional on their authority.