1 Introduction
2 Descriptive summary of a model
3 Estimation strategy and techniques
4 Data
Variable | Mean | SD | Min | Max | Obs |
---|---|---|---|---|---|
GDP p.c. growth (%) | 2.63 | 2.56 |
\(-3.95\)
| 11.63 | 257 |
Initial GDP p.c. (1990 lire) | 18,900,000 | 8,068,528 | 4,165,179 | 39,000,000 | 257 |
Investment (% GDP) | 24.81 | 6.68 | 15.81 | 71.55 | 240 |
Education | 62.06 | 25.27 | 11.84 | 104.79 | 260 |
Inflation (%) | 19.77 | 6.98 | 5.9 |
\(-4.52\)
| 260 |
Population growth (%) | 4.06 | 3.67 | 0.12 | 16.01 | 257 |
Public spending (% GDP) | 19.46 | 5.53 | 9.62 | 33.52 | 200 |
Trade (% GDP) | 33.95 | 28.08 | 1.22 | 223.44 | 207 |
Financial development (% GDP) | 20.03 | 3.33 | 12.29 | 27.54 | 140 |
Corruption | 2.35 | 1.98 | 0.19 | 10.2 | 257 |
OC Index 5 | 10.67 | 7.41 | 2.78 | 43.12 | 160 |
Extortion | 5.29 | 3.55 | 0.89 | 19.03 | 200 |
Criminal association | 1.85 | 0.96 | 0.44 | 6 | 200 |
Mafia criminal association | 0.3 | 0.5 | 0 | 2.95 | 160 |
Homicides by Mafia | 0.24 | 0.71 | 0 | 6.73 | 200 |
Bomb attacks | 2.37 | 4.28 | 0 | 24 | 160 |
Arsons | 13.4 | 12.72 | 2.02 | 101.13 | 200 |
Robberies in banks | 2.34 | 1.68 | 0 | 7.38 | 160 |
Robberies in posts | 1.16 | 0.96 | 0 | 6.81 | 160 |
Kidnapping for extortion | 0.24 | 0.2 | 0 | 1.11 | 200 |
OC Index ISTAT | 20.51 | 15.53 | 4 | 76.61 | 120 |
OC Index CRENOS | 38.93 | 40.6 | 3.19 | 295.12 | 200 |
OC Index Daniele and Marani | 25.95 | 18.62 | 7.44 | 124.78 | 160 |
Homicides | 1.54 | 1.62 | 0.21 | 12.85 | 257 |
PCA OC Index 5 | 1.25 | 1.65 |
\(-1.48\)
| 8.2 | 160 |
5 Baseline results
Dependent variable: GDP pc growth | [1] | [2] | [3] | [4] | [5] | [6] | [7] |
---|---|---|---|---|---|---|---|
Initial GDP per capita (log) |
\(-0.534\)
|
\(-0.589\)
|
\(-0.132\)
|
\(-0.871\)
|
\(-1.326\)
|
\(-\)0.425 |
\(-10.07\)
|
(0.509) | (0.448) | (0.869) | (0.260) | (0.088) | (0.595) | (0.001) | |
Inflation |
\(-0.269\)
|
\(-0.280\)
|
\(-0.263\)
|
\(-0.279\)
|
\(-0.292\)
|
\(-0.368\)
|
\(-0.420\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Education |
\(-0.045\)
|
\(-0.048\)
|
\(-0.044\)
|
\(-0.046\)
|
\(-0.040\)
|
\(-0.011\)
|
\(-0.026\)
|
(0.001) | (0.000) | (0.002) | (0.001) | (0.003) | (0.555) | (0.296) | |
Investment | 0.078 | 0.074 | 0.078 | 0.075 | 0.067 | 0.105 | 0.174 |
(0.069) | (0.084) | (0.067) | (0.058) | (0.073) | (0.009) | (0.022) | |
Corruption |
\(-0.248\)
|
\(-0.238\)
|
\(-0.419\)
|
\(-0.277\)
|
\(-0.492\)
|
\(-0.525\)
|
\(-0.442\)
|
(0.019) | (0.019) | (0.000) | (0.028) | (0.000) | (0.000) | (0.010) | |
Organized crime |
\(-1.051\)
|
\(-0.459\)
|
\(-0.257\)
|
\(-0.110\)
|
\(-0.131\)
|
\(-0.099\)
|
\(-0.060\)
|
(0.046) | (0.014) | (0.036) | (0.002) | (0.000) | (0.005) | (0.269) | |
Corruption*Organized crime | 0.173 | 0.075 | 0.072 | 0.014 | 0.021 | 0.021 | 0.021 |
(0.065) | (0.126) | (0.011) | (0.036) | (0.002) | (0.003) | (0.000) | |
Regions/Obs | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 |
R\(^{2}\)
| 0.350 | 0.355 | 0.356 | 0.357 | 0.393 | 0.410 | 0.535 |
[1] | [2] | [3] | [4] | [5] | |
---|---|---|---|---|---|
Panel A: Difference-GMM
| |||||
Initial GDP per capita (log) |
\(-7.47\)
|
\(-6.29\)
|
\(-9.18\)
|
\(-8.87\)
|
\(-8.97\)
|
(0.000) | (0.031) | (0.000) | (0.000) | (0.000) | |
Inflation |
\(-0.369\)
|
\(-0.405\)
|
\(-0.482\)
|
\(-0.361\)
|
\(-0.422\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Education |
\(-0.038\)
|
\(-0.052\)
|
\(-0.066\)
|
\(-0.020\)
|
\(-0.033\)
|
(0.038) | (0.054) | (0.003) | (0.223) | (0.046) | |
Investment | 0.284 | 0.248 | 0.372 | 0.147 | 0.255 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Corruption |
\(-0.297\)
|
\(-0.256\)
|
\(-0.394\)
|
\(-0.472\)
|
\(-0.635\)
|
(0.043) | (0.043) | (0.007) | (0.000) | (0.000) | |
Organized crime |
\(-3.082\)
|
\(-0.786\)
|
\(-0.220\)
|
\(-0.262\)
|
\(-0.140\)
|
(0.000) | (0.000) | (0.015) | (0.000) | (0.000) | |
Corruption*Organized crime | 0.424 | 0.114 | 0.201 | 0.026 | 0.039 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Regions/Obs | 19/114 | 19/114 | 19/114 | 19/114 | 19/114 |
Number of instruments | 21 | 21 | 21 | 21 | 21 |
Hansen J-test (p value) | 0.338 | 0.256 | 0.258 | 0.256 | 0.239 |
AR(1) test (p value) | 0.005 | 0.003 | 0.004 | 0.003 | 0.002 |
AR(2) test (p value) | 0.717 | 0.341 | 0.442 | 0.933 | 0.900 |
No. of lags of endogenous variables used as instruments | 2_4 | 2_4 | 2_4 | 2_4 | 2_4 |
Panel B: System-GMM
| |||||
Initial GDP per capita (log) |
\(-1.60\)
|
\(-0.60\)
|
\(-1.20\)
|
\(-3.06\)
|
\(-1.73\)
|
(0.059) | (0.424) | (0.207) | (0.001) | (0.151) | |
Inflation |
\(-0.351\)
|
\(-0.386\)
|
\(-0.345\)
|
\(-0.322\)
|
\(-0.308\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Education |
\(-0.079\)
|
\(-0.092\)
|
\(-0.080\)
|
\(-0.055\)
|
\(-0.053\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Investment | 0.218 | 0.256 | 0.176 | 0.107 | 0.108 |
(0.000) | (0.000) | (0.001) | (0.006) | (0.007) | |
Corruption |
\(-0.206\)
|
\(-0.196\)
|
\(-0.749\)
|
\(-0.367\)
|
\(-0.795\)
|
(0.000) | (0.002) | (0.000) | (0.000) | (0.000) | |
Organized crime |
\(-2.045\)
|
\(-0.720\)
|
\(-0.521\)
|
\(-0.160\)
|
\(-0.126\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Corruption*Organized crime | 0.316 | 0.143 | 0.210 | 0.017 | 0.039 |
(0.000) | (0.000) | (0.000) | (0.039) | (0.000) | |
Regions/Obs | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 |
Number of instruments | 22 | 22 | 22 | 22 | 22 |
Hansen J-test (p value) | 0.272 | 0.279 | 0.491 | 0.324 | 0.348 |
Difference-in-Hansen J-test (p value) | 0.733 | 0.747 | 0.990 | 0.943 | 0.956 |
AR(1) test (p value) | 0.004 | 0.003 | 0.002 | 0.003 | 0.002 |
AR(2) test (p value) | 0.244 | 0.133 | 0.841 | 0.147 | 0.25 |
No. of lags of endogenous variables used as instruments | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 |
6 Robustness checks
6.1 Robustness to different regression specifications
Dependent variable: GDP pc growth | [1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] |
---|---|---|---|---|---|---|---|---|
Initial GDP per capita (log) |
\(-1.73\)
|
\(-2.66\)
|
\(-0.65\)
|
\(-1.13\)
|
\(-2.33\)
|
\(-1.27\)
|
\(-0.96\)
|
\(-4.92\)
|
(0.151) | (0.165) | (0.686) | (0.325) | (0.027) | (0.321) | (0.503) | (0.366) | |
Inflation |
\(-0.308\)
|
\(-0.333\)
|
\(-0.311\)
|
\(-0.342\)
|
\(-0.364\)
|
\(-0.115\)
|
\(-0.331\)
|
\(-0.491\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.001) | (0.000) | (0.000) | |
Education |
\(-0.053\)
|
\(-0.044\)
|
\(-0.039\)
|
\(-0.039\)
|
\(-0.042\)
|
\(-0.047\)
|
\(-0.053\)
|
\(-0.039\)
|
(0.000) | (0.021) | (0.055) | (0.014) | (0.079) | (0.003) | (0.008) | (0.526) | |
Investment | 0.108 | 0.219 | 0.239 | 0.268 | 0.214 |
\(-0.012\)
| 0.223 | 0.212 |
(0.007) | (0.000) | (0.000) | (0.000) | (0.000) | (0.822) | (0.000) | (0.183) | |
Corruption |
\(-0.795\)
|
\(-0.813\)
|
\(-0.848\)
|
\(-0.851\)
|
\(-0.812\)
|
\(-0.330\)
|
\(-0.796\)
|
\(-3.433\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.001) | (0.000) | (0.032) | |
Organized crime |
\(-0.126\)
|
\(-0.102\)
|
\(-0.195\)
|
\(-0.167\)
|
\(-0.167\)
|
\(-0.148\)
|
\(-0.144\)
|
\(-0.779\)
|
(0.000) | (0.018) | (0.040) | (0.000) | (0.000) | (0.001) | (0.001) | (0.039) | |
Corruption*Organized crime | 0.039 | 0.036 | 0.051 | 0.054 | 0.051 | 0.020 | 0.045 | 0.250 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.020) | (0.000) | (0.054) | |
Population growth | 0.31 | 0.16 | 0.159 | 0.261 | ||||
(0.021) | (0.169) | (0.112) | (0.001) | |||||
Public spending |
\(-0.163\)
|
\(-0.164\)
| 0.050 | |||||
(0.003) | (0.001) | (0.326) | ||||||
Trade | 0.009 |
\(-0.016\)
| ||||||
(0.298) | (0.061) | |||||||
Financial development | 0.164 | |||||||
(0.043) | ||||||||
Corr*OC*1980s | 0.019 | |||||||
(0.437) | ||||||||
Corr*OC*1990s | 0.000 | |||||||
(0.931) | ||||||||
Corr*OC*Campania |
\(-0.069\)
| |||||||
(0.246) | ||||||||
Corr*OC*Calabria |
\(-0.074\)
| |||||||
(0.213) | ||||||||
Corr*OC*Sicilia |
\(-0.073\)
| |||||||
(0.169) | ||||||||
Corruption*OC*Puglia | 0.019 | |||||||
(0.926) | ||||||||
Corruption*OC*Basilicata | 0.064 | |||||||
(0.425) | ||||||||
Corruption*OC*Molise |
\(-0.104\)
| |||||||
(0.210) | ||||||||
Corruption*OC*Lazio |
\(-0.255\)
| |||||||
(0.401) | ||||||||
Corruption*OC*Liguria | 0.246 | |||||||
(0.191) | ||||||||
Regions/Obs | 19/133 | 19/133 | 19/133 | 19/133 | 19/130 | 19/111 | 19/133 | 19/134 |
Number of instruments | 22 | 15 | 17 | 19 | 21 | 23 | 18 | 31 |
Hansen J-test (p value) | 0.348 | 0.072 | 0.079 | 0.074 | 0.103 | 0.666 | 0.077 | 0.778 |
AR(1) test (p value) | 0.002 | 0.003 | 0.008 | 0.004 | 0.009 | 0.006 | 0.003 | 0.001 |
AR(2) test (p value) | 0.25 | 0.572 | 0.276 | 0.322 | 0.419 | 0.317 | 0.368 | 0.234 |
No. of lags of endogenous variables used as instruments | 2_3 | 2_2 | 2_2 | 2_2 | 2_2 | 2_2 | 2_2 | 2_2 |
6.2 Robustness to alternative measures of organized crime
Dependent variable: GDP pc growth | [1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] | [9] |
---|---|---|---|---|---|---|---|---|---|
OC Index 5 | MA+HM+BA+Ar | OC5+Ar | OC5+KE | OC5+Ar+KE | Daniele and Marani | ISTAT Caruso | 1961–2009 | Homicides | |
Initial GDP per capita (log) |
\(-1.73\)
|
\(-1.62\)
|
\(-2.66\)
|
\(-2.37\)
|
\(-1.92\)
|
\(-1.95\)
|
\(-1.98\)
|
\(-1.97\)
|
\(-8.22\)
|
(0.151) | (0.185) | (0.000) | (0.001) | (0.001) | (0.001) | (0.002) | (0.025) | (0.000) | |
Inflation |
\(-0.308\)
|
\(-0.306\)
|
\(-0.316\)
|
\(-0.316\)
|
\(-0.324\)
|
\(-0.325\)
|
\(-0.257\)
|
\(-0.177\)
|
\(-0.322\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Education |
\(-0.053\)
|
\(-0.053\)
|
\(-0.031\)
|
\(-0.036\)
|
\(-0.041\)
|
\(-0.042\)
|
\(-0.07\)
| 0.004 |
\(-0.028\)
|
(0.000) | (0.000) | (0.002) | (0.011) | (0.002) | (0.001) | (0.000) | (0.691) | (0.002) | |
Investment | 0.108 | 0.106 | 0.048 | 0.097 | 0.083 | 0.090 | 0.056 | 0.204 | 0.022 |
(0.007) | (0.009) | (0.424) | (0.008) | (0.104) | (0.057) | (0.215) | (0.000) | (0.280) | |
Corruption |
\(-0.795\)
|
\(-0.809\)
|
\(-0.811\)
|
\(-0.761\)
|
\(-0.769\)
|
\(-0.752\)
|
\(-0.281\)
|
\(-0.551\)
|
\(-0.772\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.057) | (0.000) | (0.000) | |
Crime |
\(-0.126\)
|
\(-0.12\)
|
\(-0.076\)
|
\(-0.044\)
|
\(-0.045\)
|
\(-0.042\)
|
\(-0.040\)
|
\(-0.029\)
|
\(-0.614\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.001) | (0.015) | (0.000) | (0.000) | |
Corruption* Crime | 0.039 | 0.039 | 0.014 | 0.009 | 0.010 | 0.009 | 0.006 | 0.007 | 0.021 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.049) | (0.000) | (0.734) | |
Regions/Obs | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 | 19/114 | 19/171 | 19/133 |
Number of instruments | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 |
Hansen J-test (p value) | 0.348 | 0.347 | 0.280 | 0.284 | 0.246 | 0.257 | 0.548 | 0.360 | 0.227 |
AR(1) test (p value) | 0.002 | 0.002 | 0.002 | 0.002 | 0.002 | 0.002 | 0.008 | 0.000 | 0.019 |
AR(2) test (p value) | 0.250 | 0.262 | 0.470 | 0.506 | 0.505 | 0.513 | 0.087 | 0.203 | 0.817 |
No. of lags of endogenous variables used as instruments | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 |
Dependent variable: GDP pc growth | [1] | [2] | [3] | [4] | [5] |
---|---|---|---|---|---|
Index 3 | Index 4 | Index 5 | Index 6 | ISTAT Index | |
Initial GDP pc (log) |
\(-0.28\)
|
\(-0.82\)
|
\(-0.22\)
|
\(-1.67\)
|
\(-2.48\)
|
(0.745) | (0.411) | (0.805) | (0.080) | (0.000) | |
Inflation |
\(-0.35\)
|
\(-0.363\)
|
\(-0.349\)
|
\(-0.373\)
|
\(-0.255\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Education |
\(-0.083\)
|
\(-0.086\)
|
\(-0.083\)
|
\(-0.080\)
|
\(-0.060\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Investment | 0.188 | 0.215 | 0.188 | 0.197 |
\(-0.001\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.967) | |
Corruption |
\(-0.225\)
|
\(-0.137\)
|
\(-0.197\)
|
\(-0.144\)
|
\(-0.279\)
|
(0.000) | (0.002) | (0.002) | (0.079) | (0.000) | |
Organized crime |
\(-0.609\)
|
\(-0.515\)
|
\(-0.463\)
|
\(-0.571\)
|
\(-0.765\)
|
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Corruption*Organized crime | 0.268 | 0.138 | 0.174 | 0.105 | 0.112 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
Regions/Obs | 19/133 | 19/133 | 19/133 | 19/133 | 19/133 |
Number of instruments | 22 | 22 | 22 | 22 | 22 |
Hansen J-test (p value) | 0.318 | 0.272 | 0.280 | 0.239 | 0.046 |
AR(1) test (p value) | 0.002 | 0.002 | 0.002 | 0.001 | 0.004 |
AR(2) test (p value) | 0.893 | 0.132 | 0.259 | 0.239 | 0.273 |
No. of lags of endogenous variables used as instruments | 2_3 | 2_3 | 2_3 | 2_3 | 2_3 |