Table 1
Descriptive statistics on migration data
| Immigration | Emigration | Net migration variation | |||||||
|---|---|---|---|---|---|---|---|---|---|
| P1 | P2 | P3 | P1 | P2 | P3 | P1–P2 | P2–P3 | P1–P3 | |
| Mean | 59,994 | 82,708 | 81,905 | 59,994 | 82,708 | 81,905 | 0.15 | 0.02 | 0.55 |
| Standard deviation | 59,465 | 81,641 | 78,422 | 75,865 | 105,981 | 89,873 | 1.09 | 1.46 | 1.28 |
| Min | 16,628 | 23,417 | 20,077 | 8,562 | 14,236 | 16,064 | –3.36 | –5.35 | –1.58 |
| Max | 323,378 | 464,284 | 403,100 | 382,622 | 588,895 | 444,875 | 2.44 | 2.96 | 3.90 |

Figure 1
Classification of Mexican states by (internal) net migration condition and period.
Notes: Positive net migration refers to a greater inflow of migrants (compared with the outflow) into a state. The number expresses the relative change in net migration (compared with the period 2000–2005). Data of this figure are provided in Appendix B.
Table 2
Descriptive statistics on homicide data
| Average homicides | AHR | AHR variation | |||||||
|---|---|---|---|---|---|---|---|---|---|
| P1 | P2 | P3 | P1 | P2 | P3 | P1–P2 | P2–P3 | P1–P3 | |
| Mean | 313 | 493 | 731 | 0.150 | 0.241 | 0.309 | 0.472 | 0.506 | 1.158 |
| Standard deviation | 371.6 | 578.9 | 720.3 | 0.083 | 0.256 | 0.245 | 0.808 | 0.604 | 1.395 |
| Min | 23 | 38 | 50 | 0.037 | 0.034 | 0.036 | −0.311 | −0.374 | −0.099 |
| Max | 1,926 | 2,774 | 2,889 | 0.348 | 1.311 | 1.094 | 3.519 | 1.955 | 6.920 |

Figure 2
Homicide rate (per 1,000 people), by state and period.

Figure 3
Homicides rate (per 1,000 people) in Mexican states (yearly average), by period.
Note: Numbers in map refer to relative change in homicide rate (compared with the period 2000–2005). Data of this figure are provided in Appendix C.

Figure 4
Net migration (in thousands) and homicide rates in Mexican states by period.
Note: C stands for slope coefficient and S.E. for standard error of fitting curve.

Figure 5
Immigration and homicide rates (per 1,000 people) in Mexican states, by period.
Note: C stands for slope coefficient and S.E. for standard error of fitting curve.
Table 3
Gravity equation estimates (OLS, PPML, and GME)
| OLS 2FE | PPML 2FE | GME 2FE | GME 3FE | |
|---|---|---|---|---|
| Log homicide rate (destination) | –0.125 | –0.019 | –0.122 | –0.117 |
| (2.45)* | (2.52)* | (4.68)** | (6.13)** | |
| Log homicide rate (origin) | 0.065 | 0.012 | 0.066 | 0.092 |
| (2.70)* | (3.35)** | (2.56)* | (4.81)** | |
| Log distance | –0.15 | –0.014 | –0.152 | –0.913 |
| (4.90)** | (2.44)* | (8.40)** | (19.53)** | |
| Log GDP (destination) | 0.37 | 0.033 | 0.367 | 0.465 |
| (1.63) | (0.84) | (3.06)** | (5.28)** | |
| Log GDP (origin) | 0.342 | 0.067 | 0.357 | 0.266 |
| (1.75) | (2.02)* | (2.99)** | (3.02)** | |
| Log unemployment (destination) | –0.2 | –0.031 | –0.212 | –0.35 |
| (1.59) | (1.77) | (3.94)** | (8.80)** | |
| Log unemployment (origin) | 0.01 | –0.001 | 0.012 | 0.106 |
| (0.15) | (0.16) | (0.23) | (2.67)** | |
| Log education (destination) | 0.07 | 0.084 | 0.14 | 2.256 |
| (0.06) | (0.46) | (0.25) | (5.33)** | |
| Log education (origin) | 1.478 | 0.18 | 1.552 | –0.023 |
| (2.83)** | (2.36)* | (2.75)** | (0.06) | |
| Log FDI (destination) | –0.06 | –0.009 | –0.057 | –0.028 |
| (0.87) | (0.85) | (2.13)* | (1.42) | |
| Log FDI (origin) | 0.147 | 0.027 | 0.144 | 0.069 |
| (4.09)** | (4.89)** | (5.36)** | (3.47)** | |
| Birthrate difference (destination–origin) | –0.258 | –0.032 | –0.254 | 0.093 |
| (0.85) | (0.7) | (1.6) | (0.8) | |
| Log population (destination) | –0.256 | –0.005 | –0.184 | 0.62 |
| (0.51) | (0.07) | (0.91) | (4.12)** | |
| Log population (origin) | –0.332 | –0.017 | –0.315 | 0.137 |
| (1.69) | (0.56) | (1.56) | (0.91) | |
| Wage difference (destination–origin) | 0.002 | 0.00 | 0.002 | 0.002 |
| (1.01) | (0.78) | (2.17)* | (4.09)** | |
| Log immigrant proportion | 0.884 | 0.132 | 0.883 | 0.232 |
| (48.01)** | (47.85)** | (88.99)** | (9.71)** | |
| Border with USA | –0.939 | –0.12 | 1.96 | 6.183 |
| (1.1) | (0.97) | (6.15)** | (11.23)** | |
| Period 2 dummy | 0.573 | 0.079 | 0.548 | 0.149 |
| (5.21)** | (4.84)** | (6.06)** | (2.18)* | |
| Period 3 dummy | 0.268 | 0.022 | 0.218 | –0.219 |
| (1.32) | (0.75) | (1.41) | (1.89) | |
| Constant | 9.726 | 1.231 | 5.39 | –12 |
| (1.0) | (0.88) | (1.19) | (3.41)** | |
| Origin FE | Yes | Yes | Yes | Yes |
| Destination FE | Yes | Yes | Yes | Yes |
| Pair-specific FE | No | No | No | Yes |
| Model entropy | 3,346.8 | 4,371.1 | ||
| Pseudo-R2 | 0.0001 | 0.0004 | ||
| R2 | 0.95 | 0.94 | ||
| N | 2976 | 2976 | 2976 | 2976 |
Table 4
Estimation of gravity model (GME 3FE) per period
| GME P1 | GME P2 | GME P3 | |
|---|---|---|---|
| Log homicide rate (destination) | –0.169 | –0.125 | –0.292 |
| (7.36)** | (12.45)** | (8.90)** | |
| Log homicide rate (origin) | 0.118 | 0.054 | –0.395 |
| (5.87)** | (3.44)** | (15.93)** | |
| Other control covariates | Yes | Yes | Yes |
| Origin FE | Yes | Yes | Yes |
| Destination FE | Yes | Yes | Yes |
| Pair-specific FE | Yes | Yes | Yes |
| Model entropy | 2,179.6 | 2,179.6 | 2,179.6 |
| Pseudo-R2 | 0.00 | 0.00 | 0.00 |
| N | 992 | 992 | 992 |
[i] Notes: **p < 0.01. Standard errors in parenthesis. Other control covariates refer to variables specified in equation (1).
P1 denotes period 1: 2000–2005. P2 denotes period 2: 2005–2010. P3 denotes period 3: 2010–2015.
GME, generalized maximum entropy; 3FE, three-way fixed effects.
Table 5
Decomposition of mean predictions differences between periods 1 and 2, and periods 1 and 3
| Decomposition P1–P2 | Decomposition P1–P3 | |||
|---|---|---|---|---|
| Explained | Unexplained | Explained | Unexplained | |
| Total | –0.265 | 0.661 | 0.121 | 0.244 |
| (0.069)** | (0.02)** | (0.073) | (0.036)** | |
| Log distance | 0 | 0.253 | 0 | –1.09 |
| (0.000) | (0.045)** | (0.000) | (0.053)** | |
| Log GDP (destination) | 0.017 | –6.36 | 0.037 | –20.7 |
| (0.006)** | (0.362)** | (0.007)** | (0.818)** | |
| Log GDP (origin) | –0.001 | 4.1 | –0.003 | 6.36 |
| (0.002) | (0.377)** | (0.004) | (0.633)** | |
| Log unemployment (destination) | 0.008 | –0.298 | 0.018 | –2.29 |
| (0.009) | (0.074)** | (0.022) | (0.106)** | |
| Log unemployment (origin) | 0.029 | –0.048 | 0.066 | –2.14 |
| (0.005)** | (0.041) | (0.011)** | (0.068)** | |
| Log FDI (destination) | 0.006 | 0.338 | 0.017 | 2.11 |
| (0.005) | (0.195) | (0.015) | (0.238)** | |
| Log FDI (origin) | –0.001 | 0.545 | –0.005 | 6.98 |
| (0.004) | (0.134)** | (0.011) | (0.29)** | |
| Log homicide rate (destination) | –0.047 | –0.383 | –0.104 | 1.02 |
| (0.008)** | (0.218) | (0.015)** | (0.334)** | |
| Log homicide rate (origin) | 0.033 | 0.560 | 0.073 | 4.28 |
| (0.006)** | (0.221)* | (0.013)** | (0.267)** | |
| Log population (destination) | 0.052 | 5.82 | 0.126 | 14.79 |
| (0.018)** | (0.492)** | (0.019)** | (0.72)** | |
| Log population (origin) | 0.001 | –1.89 | 0.003 | –10.76 |
| (0.002) | (0.437)** | (0.004) | (0.653)** | |
| Log immigrant proportion | –0.317 | –0.282 | –0.089 | 0.13 |
| (0.059)** | (0.027)** | (0.058) | (0.033)** | |
| Border with USA | 0 | –0.082 | 0 | –0.022 |
| (0.003) | (0.011)** | (0.003) | (0.017) | |
[i] Notes: **p < 0.01, *p < 0.05. Origin, destination, and path-specific fixed effects coefficients are omitted to save space. Birthrate difference and wage difference are omitted since all their coefficients were insignificant.
P1 denotes period 1: 2000–2005. P2 denotes period 2: 2005–2010. P3 denotes period 3: 2010–2015. Linear decompositions take P1’s coefficients as reference. Mean predictions are 6.326 (2000–2005), 6.723 (2005–2010), and 6.693 (2010–2015).
GDP, gross domestic product; FDI, foreign direct investment.

| Code | Name | Code | Name |
|---|---|---|---|
| 1 | Aguascalientes | 17 | Morelos |
| 2 | Baja California | 18 | Nayarit |
| 3 | Baja California Sur | 19 | Nuevo Leno |
| 4 | Campeche | 20 | Oaxaca |
| 5 | Coahuila de Zaragoza | 21 | Puebla |
| 6 | Colima | 22 | Queretaro |
| 7 | Chiapas | 23 | Quintana Roo |
| 8 | Chihuahua | 24 | San Luis Potosi |
| 9 | Mexico city | 25 | Sinaloa |
| 10 | Durnago | 26 | Sonora |
| 11 | Guanajuato | 27 | Tabasco |
| 12 | Guerrero | 28 | Tamaulipas |
| 13 | Hidalgo | 29 | Tlaxcala |
| 14 | Jalisco | 30 | Veracruz |
| 15 | Mexico state | 31 | Yucatan |
| 16 | Michoacan | 32 | Zacatecas |
| Immigration | Emigration | Net migration variation | |||||||
|---|---|---|---|---|---|---|---|---|---|
| State | P1 | P2 | P3 | P1 | P2 | P3 | P1–P2 | P2–P3 | P1–P3 |
| Aguascalientes | 28,488 | 32,887 | 34,130 | 11,915 | 19,157 | 17,512 | -0.17 | 0.21 | 0.00 |
| Baja California | 137,390 | 123,726 | 114,880 | 44,117 | 96,512 | 74,160 | -0.71 | 0.50 | -0.56 |
| Baja California Sur | 33,635 | 60,218 | 46,584 | 8,562 | 14,236 | 18,734 | 0.83 | -0.39 | 0.11 |
| Campeche | 21,343 | 27,472 | 36,884 | 16,869 | 23,286 | 20,311 | -0.06 | 2.96 | 2.70 |
| Coahuila de Zaragoza | 36,116 | 48,418 | 50,051 | 35,355 | 48,613 | 49,202 | -1.26 | -5.35 | 0.12 |
| Colima | 21,303 | 32,466 | 32,180 | 11,061 | 14,800 | 16,064 | 0.72 | -0.09 | 0.57 |
| Chiapas | 19,144 | 40,437 | 42,889 | 75,176 | 89,504 | 95,990 | -0.12 | 0.08 | -0.05 |
| Chihuahua | 54,685 | 46,367 | 40,800 | 33,975 | 64,454 | 51,545 | -1.87 | -0.41 | -1.52 |
| Mexico city | 159,869 | 204,888 | 283,102 | 382,622 | 588,895 | 444,875 | 0.72 | -0.58 | -0.27 |
| Durango | 19,683 | 29,971 | 25,835 | 28,047 | 37,737 | 38,791 | -0.07 | 0.67 | 0.55 |
| Guanajuato | 49,230 | 73,008 | 74,286 | 42,512 | 60,290 | 57,109 | 0.89 | 0.35 | 1.56 |
| Guerrero | 24,621 | 41,024 | 34,440 | 60,176 | 85,865 | 109,502 | 0.26 | 0.67 | 1.11 |
| Hidalgo | 56,421 | 93,919 | 94,424 | 38,274 | 56,145 | 60,646 | 1.08 | -0.11 | 0.86 |
| Jalisco | 90,912 | 131,557 | 130,012 | 82,389 | 120,016 | 120,914 | 0.35 | -0.21 | 0.07 |
| Mexico state | 323,378 | 464,284 | 403,100 | 234,864 | 261,553 | 326,643 | 1.29 | -0.62 | -0.14 |
| Michoacan | 45,387 | 62,782 | 52,091 | 55,144 | 81,145 | 92,652 | 0.88 | 1.21 | 3.16 |
| Morelos | 44,674 | 63,117 | 60,909 | 24,552 | 36,646 | 42,354 | 0.32 | -0.30 | -0.08 |
| Nayarit | 28,112 | 48,836 | 39,405 | 20,900 | 25,071 | 26,116 | 2.30 | -0.44 | 0.84 |
| Nuevo Leon | 82,853 | 114,089 | 141,654 | 40,069 | 61,718 | 61,280 | 0.22 | 0.53 | 0.88 |
| Oaxaca | 40,926 | 66,126 | 57,408 | 66,274 | 85,671 | 91,018 | -0.23 | 0.72 | 0.33 |
| Puebla | 77,367 | 104,349 | 113,371 | 74,636 | 110,804 | 113,342 | -3.36 | -1.00 | -0.99 |
| Queretaro | 55,739 | 77,462 | 105,431 | 20,441 | 32,685 | 31,379 | 0.27 | 0.65 | 1.10 |
| Quintana Roo | 84,725 | 122,690 | 116,616 | 22,124 | 41,811 | 46,968 | 0.29 | -0.14 | 0.11 |
| San Luis Potosi | 31,484 | 45,561 | 39,593 | 38,094 | 51,038 | 58,692 | -0.17 | 2.49 | 1.89 |
| Sinaloa | 39,730 | 55,784 | 65,660 | 74,725 | 81,582 | 80,191 | -0.26 | -0.44 | -0.58 |
| Sonora | 40,244 | 62,686 | 56,812 | 35,376 | 45,963 | 41,928 | 2.44 | -0.11 | 2.06 |
| Tabasco | 18,351 | 31,396 | 35,583 | 47,526 | 56,090 | 53,044 | -0.15 | -0.29 | -0.40 |
| Tamaulipas | 94,726 | 87,741 | 58,520 | 42,710 | 74,215 | 88,865 | -0.74 | -3.24 | -1.58 |
| Tlaxcala | 21,496 | 29,924 | 29,019 | 14,120 | 20,982 | 21,861 | 0.21 | -0.20 | -0.03 |
| Veracruz | 93,576 | 159,584 | 134,177 | 191,791 | 198,937 | 199,758 | -0.60 | 0.67 | -0.33 |
| Yucatan | 27,584 | 40,470 | 51,044 | 24,169 | 32,392 | 34,294 | 1.37 | 1.07 | 3.90 |
| Zacatecas | 16,628 | 23,417 | 20,077 | 21,255 | 28,843 | 35,227 | 0.17 | 1.79 | 2.27 |
| Average homicides | AHR | AHR variation | |||||||
|---|---|---|---|---|---|---|---|---|---|
| State | P1 | P2 | P3 | P1 | P2 | P3 | P1–P2 | P2–P3 | P1–P3 |
| Aguascalientes | 23 | 54 | 59 | 0.039 | 0.078 | 0.073 | 1.034 | –0.069 | 0.894 |
| Baja California | 441 | 984 | 749 | 0.289 | 0.540 | 0.338 | 0.867 | –0.374 | 0.169 |
| Baja California Sur | 29 | 38 | 82 | 0.100 | 0.110 | 0.183 | 0.101 | 0.658 | 0.825 |
| Campeche | 50 | 49 | 70 | 0.113 | 0.095 | 0.120 | –0.158 | 0.260 | 0.061 |
| Coahuila de Zaragoza | 135 | 221 | 690 | 0.088 | 0.131 | 0.361 | 0.485 | 1.758 | 3.094 |
| Colima | 50 | 67 | 206 | 0.146 | 0.173 | 0.442 | 0.183 | 1.555 | 2.024 |
| Chiapas | 341 | 323 | 417 | 0.149 | 0.123 | 0.135 | –0.179 | 0.097 | –0.099 |
| Chihuahua | 572 | 2,774 | 2,540 | 0.290 | 1.311 | 1.094 | 3.519 | –0.165 | 2.772 |
| Mexico city | 941 | 931 | 1,092 | 0.151 | 0.145 | 0.163 | –0.039 | 0.121 | 0.077 |
| Durango | 175 | 586 | 591 | 0.192 | 0.591 | 0.533 | 2.082 | –0.098 | 1.779 |
| Guanajuato | 213 | 332 | 756 | 0.073 | 0.104 | 0.202 | 0.420 | 0.936 | 1.748 |
| Guerrero | 640 | 1,194 | 2,293 | 0.348 | 0.613 | 1.022 | 0.763 | 0.666 | 1.937 |
| Hidalgo | 82 | 91 | 197 | 0.057 | 0.058 | 0.106 | 0.012 | 0.828 | 0.850 |
| Jalisco | 464 | 648 | 1,368 | 0.113 | 0.144 | 0.267 | 0.282 | 0.846 | 1.367 |
| Mexico state | 1,926 | 1,710 | 2,889 | 0.232 | 0.185 | 0.272 | –0.204 | 0.468 | 0.169 |
| Michoacan | 592 | 769 | 881 | 0.238 | 0.295 | 0.294 | 0.241 | –0.003 | 0.236 |
| Morelos | 181 | 247 | 529 | 0.182 | 0.230 | 0.419 | 0.263 | 0.821 | 1.300 |
| Nayarit | 124 | 220 | 283 | 0.206 | 0.343 | 0.372 | 0.664 | 0.082 | 0.800 |
| Nuevo Leon | 120 | 392 | 1,193 | 0.045 | 0.133 | 0.358 | 1.954 | 1.682 | 6.920 |
| Oaxaca | 625 | 606 | 740 | 0.295 | 0.267 | 0.285 | –0.094 | 0.067 | –0.034 |
| Puebla | 370 | 343 | 532 | 0.119 | 0.099 | 0.136 | –0.171 | 0.376 | 0.141 |
| Queretaro | 87 | 70 | 118 | 0.098 | 0.067 | 0.093 | –0.311 | 0.375 | –0.052 |
| Quintana Roo | 99 | 124 | 150 | 0.177 | 0.182 | 0.163 | 0.028 | –0.109 | –0.084 |
| San Luis Potosi | 180 | 215 | 331 | 0.125 | 0.136 | 0.186 | 0.089 | 0.373 | 0.496 |
| Sinaloa | 442 | 1,097 | 1,359 | 0.266 | 0.628 | 0.690 | 1.365 | 0.099 | 1.599 |
| Sonora | 237 | 464 | 595 | 0.160 | 0.287 | 0.318 | 0.795 | 0.107 | 0.988 |
| Tabasco | 103 | 162 | 254 | 0.085 | 0.122 | 0.165 | 0.434 | 0.351 | 0.937 |
| Tamaulipas | 238 | 419 | 1,026 | 0.128 | 0.203 | 0.453 | 0.589 | 1.227 | 2.539 |
| Tlaxcala | 50 | 54 | 85 | 0.081 | 0.077 | 0.105 | –0.048 | 0.372 | 0.305 |
| Veracruz | 373 | 447 | 933 | 0.083 | 0.092 | 0.172 | 0.111 | 0.875 | 1.083 |
| Yucatan | 41 | 42 | 50 | 0.037 | 0.034 | 0.036 | –0.082 | 0.053 | –0.033 |
| Zacatecas | 88 | 103 | 344 | 0.104 | 0.114 | 0.337 | 0.100 | 1.955 | 2.252 |
| 2000–2005 | 2005–2010 | 2010–2015 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | Min | Max | Mean | Min | Max | Mean | Min | Max | |
| Homicide rate average (per 1,000 people) | 0.15 | 0.036 | 0.348 | 0.24 | 0.033 | 1.311 | 0.3 | 0.035 | 1.1 |
| Net migration | 1,935 | 10 | 214,547 | 2,668 | 19 | 301,099 | 2,642 | 3 | 242,120 |
| Real GDP (2013 million pesos) | 405,807 | 67,928 | 2,205,990 | 441,185 | 77,491 | 2,408,621 | 491,133 | 90,143 | 2,681,442 |
| Unemployment rate | 3.26 | 1.18 | 5.80 | 3.88 | 1.40 | 6.05 | 4.86 | 2.19 | 6.62 |
| Education (years of schooling) | 7.4 | 5.4 | 9.6 | 8.1 | 6.1 | 10.2 | 8.6 | 6.7 | 10.5 |
| FDI (millions US dollars) | 737.1 | 76.6 | 6,199.8 | 803.2 | 82.7 | 5,921.7 | 978.7 | 121.8 | 4,871.9 |
| Birthrate (average child born to women/total women) | 2.7 | 2.0 | 3.1 | 2.5 | 2.0 | 3.0 | 2.4 | 1.9 | 2.8 |
| Population (in thousands, 15 years and older) | 1,963.8 | 284.9 | 8,286.9 | 2,150 | 341.5 | 9,241.7 | 2,450.7 | 449.2 | 10,635.4 |
| Wage (daily, pesos) | 146.9 | 115.3 | 230.0 | 202.6 | 164.9 | 299.6 | 250.6 | 202.5 | 359.1 |
| Immigrant proportion | 2,813 | 10 | 339,056 | 1,935 | 10 | 214,547 | 2,668 | 19 | 301,099 |
| ldist | lgdp | lunem | leduc | lfdi | lthomav | difbth | lpop | difw | lpormig | |
|---|---|---|---|---|---|---|---|---|---|---|
| ldist | 1 | |||||||||
| lgdp | –0.0789* | 1 | ||||||||
| lunem | –0.1196* | 0.2666* | 1 | |||||||
| leduc | 0.0766* | 0.2721* | 0.7225* | 1 | ||||||
| lfdi | –0.0392* | 0.7098* | 0.4876* | 0.5316* | 1 | |||||
| lthomav | 0.1048* | 0.0532* | 0.0185* | 0.1695* | 0.1999* | 1 | ||||
| difbth | 0 | –0.3016* | –0.2492* | –0.4554* – | 0.3348* | 0.1264* | 1 | |||
| lpop | –0.2009* | 0.7707* | 0.1443* | –0.0225* | 0.6419* | 0.1533* | –0.0513* | 1 | ||
| difw | 0 | 0.4569* | 0.1591* | 0.3218* | 0.4190* | –0.1086* | –0.6200* | 0.2054* | 1 | |
| lpormig | –0.3414* | –0.0544* | 0.0421* | 0.1659* | 0.0784* | 0.0080* | –0.0724* – | 0.1523* | –0.0920* | 1 |
| fronteraUS | 0.2081* | 0.2882* | 0.2407* | 0.3720* | 0.4505* | 0.2654* | –0.2443* | 0.1360* | 0.1185* | 0.0822* |
[i] Notes: * denotes significance level (p < 0.05). Variables are log of distance (ldist), log of real GDP (lgdp), log of unemployment rate (lunem), log of education (leduc), log of FDI (lfdi), log of homicide rate average (lthomav), birthrate difference between origin and destination (difbth), log of population (lpop), wage difference between origin and destination (difw), and log of immigrant proportion (lpormig).
| Decomposition P1–P2 | Decomposition P1–P3 | |||
|---|---|---|---|---|
| Explained | Unexplained | Explained | Unexplained | |
| Total | –0.275 | 0.671 | 0.107 | 0.259 |
| (0.069)** | (0.02)** | (0.073) | (0.036)** | |
| Log distance | 0 | 0.263 | 0 | –1.07 |
| (0.000) | (0.046)** | (0.000) | (0.053)** | |
| Log GDP (destination) | 0.018 | –6.69 | 0.040 | –17.99 |
| (0.007)** | (0.366)** | (0.007)** | (0.554)** | |
| Log GDP (origin) | –0.002 | 4.4 | –0.006 | 3.06 |
| (0.002) | (0.382)** | (0.004) | (0.44)** | |
| Log unemployment (destination) | 0.008 | –0.314 | 0.019 | –2.11 |
| (0.009) | (0.075)** | (0.022) | (0.106)** | |
| Log unemployment (origin) | 0.027 | –0.024 | 0.064 | –2.36 |
| (0.005)** | (0.041) | (0.011)** | (0.075)** | |
| Log FDI (destination) | 0.004 | 0.321 | 0.014 | 2.01 |
| (0.005) | (0.198) | (0.015) | (0.233)** | |
| Log FDI (origin) | 0.001 | 0.455 | 0.005 | 7.21 |
| (0.004) | (0.135)** | (0.011) | (0.286)** | |
| Log homicide rate (destination) | –0.048 | –0.432 | –0.101 | 0.685 |
| (0.008)** | (0.211)* | (0.014)** | (0.310)* | |
| Log homicide rate (origin) | 0.029 | 0.471 | 0.062 | 4.51 |
| (0.006)** | (0.221)* | (0.012)** | (0.248)** | |
| Log population (destination) | 0.051 | 6.02 | 0.125 | 13.54 |
| (0.018)** | (0.499)** | (0.019)** | (0.612)** | |
| Log population (origin) | 0.001 | –1.96 | 0.002 | –9.13 |
| (0.002) | (0.437)** | (0.004) | (0.601)** | |
| Log immigrant proportion | –0.317 | –0.272 | –0.089 | 0.125 |
| (0.059)** | (0.028)** | (0.058) | (0.033)** | |
| Border with USA | 0 | –0.078 | 0 | 0.201 |
| (0.003) | (0.011)** | (0.003) | (0.018)** | |
[i] Notes: **p < 0.01, *p < 0.05. Origin, destination, and path-specific fixed effect coefficients are omitted to save space. Birthrate difference and wage difference are omitted since all their coefficients were insignificant.
P1 denotes period 1: 2000–2005. P2 denotes period 2: 2005–2010. P3 denotes period 3: 2010–2015. Linear decompositions take P1’s coefficients as reference. Homicide rates for males (15 years and older). GDP, gross domestic product; FDI, foreign direct investment.
| Decomposition P1–P2 | Decomposition P1–P3 | |||
|---|---|---|---|---|
| Explained | Unexplained | Explained | Unexplained | |
| Total | –0.223 | 0.619 | 0.186 | 0.180 |
| (0.069)** | (0.02)** | (0.072)* | (0.033)** | |
| Log distance | 0 | 0.296 | 0 | –1.05 |
| (0.000) | (0.045)** | (0.000) | (0.053)** | |
| Log GDP (destination) | 0.017 | –5.55 | 0.038 | –18.2 |
| (0.006)** | (0.362)** | (0.007)** | (0.574)** | |
| Log GDP (origin) | –0.006 | 3.46 | –0.013 | 3.82 |
| (0.003)* | (0.446)** | (0.004)** | (0.447)** | |
| Log unemployment (destination) | 0.018 | –0.348 | 0.042 | –2.24 |
| (0.009)* | (0.070)** | (0.021)* | (0.104)** | |
| Log unemployment (origin) | 0.037 | –0.28 | 0.086 | –2.46 |
| (0.005)** | (0.066)** | (0.011)** | (0.073)** | |
| Log FDI (destination) | 0.003 | 0.733 | 0.010 | 2.2 |
| (0.005) | (0.199)** | (0.015) | (0.245)** | |
| Log FDI (origin) | 0.001 | 0.483 | 0.004 | 7.53 |
| (0.004) | (0.146)** | (0.011) | (0.30)** | |
| Log homicide rate (destination) | –0.040 | –0.057 | –0.079 | 0.889 |
| (0.007)** | (0.191) | (0.012)** | (0.295)** | |
| Log homicide rate (origin) | 0.036 | 1.18 | 0.072 | 4.58 |
| (0.006)** | (0.26)** | (0.011)** | (0.234)** | |
| Log population (destination) | 0.052 | 4.97 | 0.128 | 13.24 |
| (0.018)** | (0.485)** | (0.019)** | (0.593)** | |
| Log population (origin) | 0.003 | –1.74 | 0.009 | –10.09 |
| (0.002) | (0.356)** | (0.004)* | (0.623)** | |
| Log immigrant proportion | –0.316 | –0.337 | –0.088 | 0.088 |
| (0.058)** | (0.027)** | (0.057) | (0.033)** | |
| Border with USA | 0 | –0.094 | 0 | 0.221 |
| (0.002) | (0.012)** | (0.002) | (0.019)** | |
[i] Notes: **p < 0.01, *p < 0.05. Origin, destination, and path-specific fixed effects coefficients are omitted to save space. Birthrate difference and wage difference are omitted since all their coefficients were insignificant.
P1 denotes period 1: 2000–2005. P2 denotes period 2: 2005–2010. P3 denotes period 3: 2010–2015. Linear decompositions take P1’s coefficients as reference. Homicide rates for young males (15–39 years old).
GDP, gross domestic product; FDI, foreign direct investment.