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Национальный Технический Университет Харьковский Политехнический Институт

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[НЕСОРТИРОВАННОЕ]

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The Eэect of Inequality.

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Table 8

Investment Provile with Ethnic Tension.

Investment Pro…le	Endowment	Mineral Depletion
Lagged 1-yr	0.262** [-0.108]	0.254** [-0.119]
Lagged 2-yr	-0.242** [-0.112]	-0.229** [-0.099]
Polity	-0.887 [-0.704]	-1.260** [-0.612]
Gini	-0.092 [-0.074]	-0.146** [-0.062]
Gini*Polity	0.015 [-0.01]	0.020** [-0.009]
Log GDP per capita	1.971***[-0.501]	2.657*** [-0.644]
Log of Population	5.766 [-4.599]	6.968 [-5.844]
Endowment/Mineral Depletion	-10.724*** [-4.068]	-0.39 [-0.435]
Ethnic Tension	-0.291 [-0.324]	-0.393 [-0.312]
Constant	-95.242 [-79.556]	-117.793 [-100.61]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	115.9	211.8
Sargan p-value	0.248	0.286
AB 2 p-values	0.813	0.908

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 9

Investment Provile with Religious Tension.

Investment Pro…le	Endowment	Mineral Depletion
Lagged 1-yr	0.386*** [ -0.118]	0.346*** [-0.122]
Lagged 2-yr	-0.215** [0.096]	-0.128 [-0.106]
Polity	-0.95 [-0.68]	0.021** [-0.009]
Gini	-0.086 [-0.079]	-0.149** [-0.061]
Gini*Polity	0.015 [0.011]	0.021** [-0.009]
Log GDP per capita	1.684*** [-0.46]	2.283** [-0.913]
Log of Population	2.682 [-4.378]	3.326[-6.32]
Endowment/Mineral Depletion	-9.059*** [-3.496]	-0.168 [-0.381]
Religious Tension	-0.103 [-0.299]	-0.159 [-0.261]
Constant	-43.456 [-76.433]	-55.716 [-109.263]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	241	345.2
Sargan p-value	0.157	0.225
AB 2 p-values	0.937	0.678

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 10

Investment Provile with Internal Con‡ict.

Investment Pro…le	Endowment	Mineral Depletion
Lagged 1-yr	0.307** [-0.15]	0.328** [-0.14]
Lagged 2-yr	-0.260*** [-0.093]	-0.206** [-0.098]
Polity	-0.931 [-0.607]	-1.435* [-0.737]
Gini	-0.09 [-0.072]	-0.180*** [-0.067]
Gini*Polity	0.012* [-0.007]	0.023** [-0.009]
Log GDP per capita	1.903*** [-0.516]	2.414** [-0.956]
Log of Population	-1.058 [-5.798]	0.923 [-6.225]
Endowment/Mineral Depletion	-10.406*** [-3.31]	-0.291 [-0.447]
Internal Con‡ict	-0.168* [-0.093]	-0.082 [-0.11]
Constant	19.066 [-99.878]	-15.828 [-107.043]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	249.2	347.2
Sargan p-value	0.102	0.229
AB 2 p-values	0.979	0.851

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 11

Investment Provile with External Con‡ict.

Investment Pro…le	Endowment	Mineral Depletion
Lagged 1-yr	0.372*** [-0.1]	0.403*** [-0.145]
Lagged 2-yr	-0.203*** [-0.069]	-0.1 [-0.094]
Polity	-0.62 [-0.715]	-1.334 [-1.388]
Gini	-0.061 [-0.082]	-0.151 [-0.094]
Gini*Polity	0.007 [-0.01]	0.014 [-0.014]
Log GDP per capita	1.478*** [-0.472]	2.058* [-1.052]
Log of Population	0.498 [-5.439]	0.792 [-7.38]
Endowment/Mineral Depletion	-10.774*** [-3.79]	-0.036 [-0.54]
External Con‡ict	-0.072 [-0.162]	-0.126 [0.262]
Constant	-6.641 [-95.602]	-11.084 [-126.864]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	356.7	274.5
Sargan p-value	0.204	0.189
AB 2 p-values	0.803	0.374

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 12

Corruption with Military in Politics.

Corruption	Endowment	Mineral Depletion
Lagged 1-yr	0.523*** [-0.099]	0.421*** [-0.111]
Lagged 2-yr	-0.062 [-0.133]	-0.068 [-0.118]
Polity	0.35 [-0.51]	0.584 [-0.419]
Gini	0.085 [-0.088]	0.110* [-0.062]
Gini*Polity	-0.004 [-0.01]	-0.007 [-0.007]
Log GDP per capita	-0.14 [-0.402]	-0.624 [-0.56]
Log of Population	1.67 [-3.424]	-0.012 [-3.748]
Endowment/ Mineral Depletion	-1.808 [-3.903]	-0.075 [-0.298]
Military in Politics	0.076 [-0.218]	0.072 [-0.154]
Constant	-29.617 [-58.281]	0.656 [-64.49]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	280.7	179.1
Sargan p-value	0.46	0.118
AB 2 p-value	0.961	0.839

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 13

Corruption with Ethnic Tension.

Corruption	Endowment	Mineral Depletion
Lagged 1-yr	0.640*** [-0.115]	0.508*** [-0.172]
Lagged 2-yr	-0.033 [-0.144]	-0.051 [-0.145]
Polity	0.216 [-0.363]	0.365 [-0.461]
Gini	0.049 [-0.052]	0.063 [-0.069]
Gini*Polity	-0.002 [-0.007]	0.003 [-0.009]
Log GDP per capita	0.014 [-0.33]	-0.219 [-0.368]
Log of Population	-0.686 [-3.642]	-0.246 [-3.638]
Endowment/ Mineral Depletion	-3.367 [-2.969]	-0.151 [-0.276]
Ethnic Tension	0.206 [-0.273]	0.231 [-0.315]
Constant	8.675 [-61.464]	2.581 [-61.577]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	366.7	233.9
Sargan p-value	0.197	0.165
AB 2 p-value	0.825	0.923

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 14

Corruption with Religions Tension.

Corruption	Endowment	Mineral Depletion
Lagged 1-yr	0.553*** [-0.114]	0.299* [-0.18]
Lagged 2-yr	-0.036 [-0.141]	-0.04 [-0.115]
Polity	0.524* [-0.316]	0.302 [-0.335]
Gini	0.067* [-0.039]	0.046 [-0.043]
Gini*Polity	-0.005 [-0.005]	0 [-0.005]
Log GDP per capita	-0.231 [-0.348]	-0.493 [-0.392]
Log of Population	-0.669 [-3.049]	0.969 [-3.674]
Endowment/ Mineral Depletion	-1.606 [-3.741]	-0.112 [-0.246]
Religious Tension	0.565*** [-0.21]	0.605*** [-0.203]
Constant	6.441 [-51.12]	-16.33 [-60.285]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	223.6	252.1
Sargan p-value	0.497	0.331
AB 2 p-value	0.807	0.823

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 15

Corruption with Internal Con‡ict.

Corruption	Endowment	Mineral Depletion
Lagged 1-yr	0.510*** [-0.147]	0.329* [-0.171]
Lagged 2-yr	-0.087 [-0.149]	-0.158 [-0.157]
Polity	0.696 [-0.469]	-0.783 [-0.766]
Gini	0.073 [-0.055]	0.083 [-0.097]
Gini*Polity	-0.006 [-0.006]	0.004 [-0.011]
Log GDP per capita	-0.407 [-0.385]	-0.708 [-0.608]
Log of Population	-1.048 [-3.944]	0.012 [-4.16]
Endowment/ Mineral Depletion	2.227 [-4.117]	0.056 [-0.401]
Internal Con‡ict	-0.08 [-0.061]	-0.086 [-0.067]
Constant	16.642 [-66.491]	1.466 [-70.949]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	294.5	204.6
Sargan p-value	0.434	0.343
AB 2 p-value	0.868	0.634

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 16

Corruption with External Con‡ict.

Corruption	Endowment	Mineral Depletion
Lagged 1-yr	0.599*** [-0.105]	0.410*** [-0.145]
Lagged 2-yr	-0.089 [-0.133]	-0.109 [-0.167]
Polity	0.279 [-0.596]	0.633 [-0.446]
Gini	0.044 [-0.079]	0.078 [-0.054]
Gini*Polity	-0.002 [-0.01]	-0.005[-0.007]
Log GDP per capita	-0.151 [-0.259]	-0.437 [-0.491]
Log of Population	0.159 [-4.4277]	1.926 [-3.986]
Endowment/ Mineral Depletion	-0.153 [-2.791]	-0.077 [-0.316]
External Con‡ict	0.073 [-0.095]	0.109 [-0.102]
Constant	-3.936 [-73.888]	-33.119 [-66.91]
Observation	267	267
Number of Countries	58	58
Number of Instruments	55	55
Chi2	404	163.1
Sargan p-value	0.175	0.144
AB 2 p-value	0.775	0.618

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

Table 17

Bureaucratic Quality with Military in Politics.

Bureaucratic Quality	Endowment		Mineral Depletion
Lagged 1-yr	0.954*** [-0.129]		1.023*** [-0.142]
Lagged 2-yr	-0.817*** [-0.264]		-0.841*** [-0.236]
Polity	0.005	[-0.024]	0.003 [-0.034]
Gini	0 [-0.005]		-0.001 [-0.002]
Gini*Polity	0 [-0.001]		0 [-0.001]
Log GDP per capita	0.023	[-0.078]	-0.021 [-0.048]
Log of Population	0.035	[-0.71]	-0.081 [-0.016]
Endowment/ Mineral Depletion	0.638	[-0.494]	-0.009 [-0.016]
Military in Politics	0.007	[-0.043]	0.001 [-0.008]
Constant	1.412	[-11.648]	3.758 [-9.467]
Observation	267		267
Number of Countries	58		58
Number of Instruments	55		55
Chi2	322.7		183.5
Sargan p-value	0.993		0.997
AB 2 p-values	0.511		0.64

Notes:

(a)*** p=0.01, ** p=0.05, *p=0.1

(b)Time dummies and category dummies are included in all regressions

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