Does Inequality Lead to Wars? An Empirical Analysis
Bachelor’s Thesis A D
a.v.demin.hse@gmail.com
Supervisor: A Z Consultant: E A
National Research University Higher School of Economics (Moscow) May 31, 2018 Moscow
Does Inequality Lead to Wars? An Empirical Analysis Bachelors - - PowerPoint PPT Presentation
Does Inequality Lead to Wars? An Empirical Analysis Bachelors Thesis A D a.v.demin.hse@gmail.com Supervisor: A Z Consultant: E A National
a.v.demin.hse@gmail.com
National Research University Higher School of Economics (Moscow) May 31, 2018 Moscow
Introduction
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Introduction Motivation
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Introduction Motivation
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Introduction Motivation
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Introduction Problem and Research Questions
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Introduction Problem and Research Questions
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Introduction Methodology
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Existing research
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Existing research Basic Concepts
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Existing research Economic Inequality, Political Regime, and Wars
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Existing research Economic Inequality, Political Regime, and Wars
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Existing research Economic Inequality, Political Regime, and Wars
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Existing research Economic Inequality, Political Regime, and Wars
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Existing research Economic Inequality, Political Regime, and Wars
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Formal Model
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Formal Model Setup
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Formal Model Tree & Results
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Formal Model Tree & Results
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Formal Model Tree & Results
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Formal Model Hypotheses
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Formal Model Hypotheses
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Formal Model Hypotheses
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Data Analysis
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Data Analysis Data & Methods
War-Proneness Inequality Accountability Controls Main Dataset Correlates of War SWIID V-Dem V-Dem∗, Maddison Project, UN Time 1816-2010 1960-2016 1830-2017 1830-2017 Description Several binary variables (depends on hostility) Bayesian aggregation
post-tax income GINI Accountability and different democracy indices Population, GDP per capita, GDP growth, political stability, Income from natural gas, etc. Robustness Clio WID, World Bank Polity 2 (enhanced Polity IV) Maddison Project, WB
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Data Analysis Data & Methods
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Data Analysis Data & Methods
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Data Analysis Data & Methods
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Data Analysis Correlation
(1) (2) (3) (4) Year 2.196∗∗ 2.930∗∗∗ 3.019∗∗∗ 3.122∗∗∗ (1.020) (1.067) (1.079) (1.161) Year2 −2.555∗∗∗ −2.719∗∗∗ −2.692∗∗∗ −2.876∗∗∗ (0.840) (0.863) (0.868) (0.912) GINI market (st) 0.242∗∗ 0.326∗∗ 0.364∗∗∗ (0.123) (0.128) (0.129) (GINI market (st))2 −0.166∗∗ −0.214∗∗ −0.174∗∗ (0.075) (0.091) (0.087) Accountability −0.629∗∗∗ −0.307∗∗∗ 0.329 (0.101) (0.118) (0.349) (GINI market (st)) × Acc −0.115 −0.140 (0.085) (0.085) (GINI market (st))2 × Acc −0.285∗∗∗ −0.269∗∗∗ (0.061) (0.061) σ(uj) 2.153 2.221 2.234 1.897 Observations 3,995 3,995 3,995 3,741 Notes:
∗∗∗Significant at the 1 percent level. ∗∗Significant at the 5 percent level. ∗Significant at the 10 percent level.
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Data Analysis Correlation
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Data Analysis Correlation
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Data Analysis Causality
LPM Logit (1) (2) (3) (4) (5) GINI market (st) 0.005 −0.010 0.011 0.005 −0.037 (0.011) (0.016) (0.021) (0.090) (0.148) (GINI market (st))2 −0.070∗∗∗ −0.027∗∗ −0.037∗∗∗ −0.135∗ 0.136 (0.009) (0.014) (0.014) (0.077) (0.109) Accountability −0.048∗∗∗ −0.014 −0.103 (0.004) (0.021) (0.089) Accountability (dummy) 0.040 (0.203) (GINI market (st)) × Acc 0.029 0.019 0.024 (0.022) (0.091) (0.177) (GINI market (st))2 × Acc −0.023 −0.145∗∗ −0.366∗∗∗ (0.018) (0.072) (0.137) Observations 3,837 3,837 3,837 3,837 3,837 Notes:
∗∗∗Significant at the 1 percent level. ∗∗Significant at the 5 percent level. ∗Significant at the 10 percent level.
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Conclusion
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Conclusion
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Conclusion
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Conclusion
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Conclusion
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Conclusion
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Conclusion
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Conclusion
a.v.demin.hse@gmail.com National Research University Higher School of Economics (Moscow) May 31, 2018 Moscow
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Appendix
θ δ¯
1−θ 1−δ¯
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Appendix
n mean sd median min max range skew kurtosis war.bin.use 4062.00 0.22 0.42 0.00 0.00 1.00 1.00 1.32
war.bin.thr 4062.00 0.30 0.46 0.00 0.00 1.00 1.00 0.86
gini.disp 4062.00 37.85 8.91 37.40 19.90 61.00 41.10 0.15
gini.mkt 4062.00 45.26 6.81 45.15 21.20 68.50 47.30 0.21 0.63 v2x.account 4062.00 0.67 0.90 0.77
2.17 3.78
v2x.poly 4058.00 0.53 0.28 0.53 0.02 0.93 0.91
v2x.libdem 4058.00 0.42 0.28 0.35 0.01 0.89 0.88 0.24
mi.gdpgro 3744.00 0.03 0.07 0.03
0.49 1.02
8.15 mi.gdpln 3763.00 8.79 1.13 8.87 6.10 11.88 5.78
un.popul 4062.00 9.49 1.56 9.36 5.53 14.12 8.60 0.12 0.18 v2.svter 4043.00 93.10 8.68 96.33 35.83 100.00 64.17
5.24
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Appendix
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Appendix
LPM Probit (1) (2) (3) (4) (5) GINI market (st) −0.019∗∗∗ −0.006∗∗∗ 0.013∗∗∗ −0.014 −0.025 (−0.000) (−0.000) (0.000) (0.025) (0.041) (GINI market (st))2 −0.034∗∗∗ −0.038∗∗∗ −0.191∗∗∗ (−0.000) (−0.000) (0.035) Accountability −0.011∗∗∗ (0.000) (GINI market (st)) × Acc 0.030∗∗∗ (−0.000) (GINI market (st))2 × Acc −0.026∗∗∗ (0.000) Observations 3,841 3,841 3,706 3,841 3,841 Notes:
∗∗∗Significant at the 1 percent level. ∗∗Significant at the 5 percent level. ∗Significant at the 10 percent level.
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