Table 2 Tobit estimation outcomes... | Emerald Publishing

Table 2

Tobit estimation outcomes (2000–2017)

Variable	Model 1 (non-OECD)	Model 2 (⁠ $<$ China)	Model 3 (⁠ $< 50 %$ ⁠)
Donor's self-interests
Bilateral Trade (ln)	1.25857^*** (0.19154)	1.321061^*** (0.193333)	1.24817^*** (0.21353)
Natural Resources	0.34637^*** (0.07599)	0.392412^*** (0.076895)	0.29562^*** (0.07821)
Preferences Affinity	4.59219^*** (1.15128)	4.845839^*** (1.130287)	3.24027^* (1.42047)
Political Regime	0.05638 (0.04061)	$- 0.004593$ (0.041304)	0.09476^† (0.05498)
Recipients' need
GDP per capita (ln)	$- 4.92702$ ^*** (0.35144)	$- 5.565883$ ^*** (0.350060)	$- 3.04713$ ^*** (0.47029)
Population (ln)	$- 1.42502$ ^*** (0.24864)	$- 1.656790$ ^*** (0.245641)	$- 0.80474$ ^∗ (0.38620)
Gov't effectiveness	$- 1.53651$ ^*** (0.44641)	$- 2.491369$ ^*** (0.440175)	$- 1.03290$ ^† (0.55928)
Control variables
Distance (ln)	$- 0.86377$ ^† (0.44533)	$- 0.436059$ (0.432268)	$- 0.24235$ (0.53152)
Intercept 1	$54.47506$ ^*** (5.64391)	$57.621900$ ^*** (5.537380)	$24.97655$ ^** (8.73046)
Intercept 2	$2.16257$ ^*** (0.02184)	$2.179853$ ^*** (0.021941)	$2.08866$ ^*** (0.02728)
N	1932	2463	1025
Log-likelihood (df)	$- 4397.529$ (3854)	$- 4510.06$ (4916)	$- 2604.188$ (2040)

Variable	Model 1 (non-OECD)	Model 2 ( $<$ China)	Model 3 ( $< 50 %$ )
Donor's self-interests
Bilateral Trade (ln)	1.25857^*** (0.19154)	1.321061^*** (0.193333)	1.24817^*** (0.21353)
Natural Resources	0.34637^*** (0.07599)	0.392412^*** (0.076895)	0.29562^*** (0.07821)
Preferences Affinity	4.59219^*** (1.15128)	4.845839^*** (1.130287)	3.24027^* (1.42047)
Political Regime	0.05638 (0.04061)	$- 0.004593$ (0.041304)	0.09476^† (0.05498)
Recipients' need
GDP per capita (ln)	$- 4.92702$ ^*** (0.35144)	$- 5.565883$ ^*** (0.350060)	$- 3.04713$ ^*** (0.47029)
Population (ln)	$- 1.42502$ ^*** (0.24864)	$- 1.656790$ ^*** (0.245641)	$- 0.80474$ ^∗ (0.38620)
Gov't effectiveness	$- 1.53651$ ^*** (0.44641)	$- 2.491369$ ^*** (0.440175)	$- 1.03290$ ^† (0.55928)
Control variables
Distance (ln)	$- 0.86377$ ^† (0.44533)	$- 0.436059$ (0.432268)	$- 0.24235$ (0.53152)
Intercept 1	$54.47506$ ^*** (5.64391)	$57.621900$ ^*** (5.537380)	$24.97655$ ^** (8.73046)
Intercept 2	$2.16257$ ^*** (0.02184)	$2.179853$ ^*** (0.021941)	$2.08866$ ^*** (0.02728)
N	1932	2463	1025
Log-likelihood (df)	$- 4397.529$ (3854)	$- 4510.06$ (4916)	$- 2604.188$ (2040)

Note(s): Significance levels ^†10%; ^*5%; ^**1%; ^***0.1%