Uneingeschränkter Zugang

Effect of Actual and Perceived Violence on Internal Migration: Evidence from Mexico’s Drug War


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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.
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.

Figure 2

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

Descriptive statistics on migration data

ImmigrationEmigrationNet migration variation
P1P2P3P1P2P3P1–P2P2–P3P1–P3
Mean59,99482,70881,90559,99482,70881,9050.150.020.55
Standard deviation59,46581,64178,42275,865105,98189,8731.091.461.28
Min16,62823,41720,0778,56214,23616,064–3.36–5.35–1.58
Max323,378464,284403,100382,622588,895444,8752.442.963.90

Descriptive statistics on homicide data

Average homicidesAHRAHR variation
P1P2P3P1P2P3P1–P2P2–P3P1–P3
Mean3134937310.1500.2410.3090.4720.5061.158
Standard deviation371.6578.9720.30.0830.2560.2450.8080.6041.395
Min2338500.0370.0340.036−0.311−0.374−0.099
Max1,9262,7742,8890.3481.3111.0943.5191.9556.920

j.izajodm-2020-0008.tab.010.w2aab3b7d145b1b6b1ab2b4b3b5Aa

ldistlgdplunemleduclfdilthomavdifbthlpopdifwlpormig
ldist1
lgdp–0.0789*1
lunem–0.1196*0.2666*1
leduc0.0766*0.2721*0.7225*1
lfdi–0.0392*0.7098*0.4876*0.5316*1
lthomav0.1048*0.0532*0.0185*0.1695*0.1999*1
difbth0–0.3016*–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
difw00.4569*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
fronteraUS0.2081*0.2882*0.2407*0.3720*0.4505*0.2654*–0.2443*0.1360*0.1185*0.0822*

j.izajodm-2020-0008.tab.006.w2aab3b7d145b1b6b1ab2b4ab3Aa

CodeNameCodeName
1Aguascalientes17Morelos
2Baja California18Nayarit
3Baja California Sur19Nuevo Leno
4Campeche20Oaxaca
5Coahuila de Zaragoza21Puebla
6Colima22Queretaro
7Chiapas23Quintana Roo
8Chihuahua24San Luis Potosi
9Mexico city25Sinaloa
10Durnago26Sonora
11Guanajuato27Tabasco
12Guerrero28Tamaulipas
13Hidalgo29Tlaxcala
14Jalisco30Veracruz
15Mexico state31Yucatan
16Michoacan32Zacatecas

j.izajodm-2020-0008.tab.009.w2aab3b7d145b1b6b1ab2b4b3b3Aa

2000–20052005–20102010–2015
MeanMinMaxMeanMinMaxMeanMinMax
Homicide rate average (per 1,000 people)0.150.0360.3480.240.0331.3110.30.0351.1
Net migration1,93510214,5472,66819301,0992,6423242,120
Real GDP (2013 million pesos)405,80767,9282,205,990441,18577,4912,408,621491,13390,1432,681,442
Unemployment rate3.261.185.803.881.406.054.862.196.62
Education (years of schooling)7.45.49.68.16.110.28.66.710.5
FDI (millions US dollars)737.176.66,199.8803.282.75,921.7978.7121.84,871.9
Birthrate (average child born to women/total women)2.72.03.12.52.03.02.41.92.8
Population (in thousands, 15 years and older)1,963.8284.98,286.92,150341.59,241.72,450.7449.210,635.4
Wage (daily, pesos)146.9115.3230.0202.6164.9299.6250.6202.5359.1
Immigrant proportion2,81310339,0561,93510214,5472,66819301,099

j.izajodm-2020-0008.tab.011.w2aab3b7d145b1b6b1ab2b4b4b2Aa

Decomposition P1–P2Decomposition P1–P3
ExplainedUnexplainedExplainedUnexplained
Total–0.2750.6710.1070.259
(0.069)**(0.02)**(0.073)(0.036)**
Log distance00.2630–1.07
(0.000)(0.046)**(0.000)(0.053)**
Log GDP (destination)0.018–6.690.040–17.99
(0.007)**(0.366)**(0.007)**(0.554)**
Log GDP (origin)–0.0024.4–0.0063.06
(0.002)(0.382)**(0.004)(0.44)**
Log unemployment (destination)0.008–0.3140.019–2.11
(0.009)(0.075)**(0.022)(0.106)**
Log unemployment (origin)0.027–0.0240.064–2.36
(0.005)**(0.041)(0.011)**(0.075)**
Log FDI (destination)0.0040.3210.0142.01
(0.005)(0.198)(0.015)(0.233)**
Log FDI (origin)0.0010.4550.0057.21
(0.004)(0.135)**(0.011)(0.286)**
Log homicide rate (destination)–0.048–0.432–0.1010.685
(0.008)**(0.211)*(0.014)**(0.310)*
Log homicide rate (origin)0.0290.4710.0624.51
(0.006)**(0.221)*(0.012)**(0.248)**
Log population (destination)0.0516.020.12513.54
(0.018)**(0.499)**(0.019)**(0.612)**
Log population (origin)0.001–1.960.002–9.13
(0.002)(0.437)**(0.004)(0.601)**
Log immigrant proportion–0.317–0.272–0.0890.125
(0.059)**(0.028)**(0.058)(0.033)**
Border with USA0–0.07800.201
(0.003)(0.011)**(0.003)(0.018)**

j.izajodm-2020-0008.tab.007.w2aab3b7d145b1b6b1ab2b4b1b2Aa

ImmigrationEmigrationNet migration variation
StateP1P2P3P1P2P3P1–P2P2–P3P1–P3
Aguascalientes28,48832,88734,13011,91519,15717,512-0.170.210.00
Baja California137,390123,726114,88044,11796,51274,160-0.710.50-0.56
Baja California Sur33,63560,21846,5848,56214,23618,7340.83-0.390.11
Campeche21,34327,47236,88416,86923,28620,311-0.062.962.70
Coahuila de Zaragoza36,11648,41850,05135,35548,61349,202-1.26-5.350.12
Colima21,30332,46632,18011,06114,80016,0640.72-0.090.57
Chiapas19,14440,43742,88975,17689,50495,990-0.120.08-0.05
Chihuahua54,68546,36740,80033,97564,45451,545-1.87-0.41-1.52
Mexico city159,869204,888283,102382,622588,895444,8750.72-0.58-0.27
Durango19,68329,97125,83528,04737,73738,791-0.070.670.55
Guanajuato49,23073,00874,28642,51260,29057,1090.890.351.56
Guerrero24,62141,02434,44060,17685,865109,5020.260.671.11
Hidalgo56,42193,91994,42438,27456,14560,6461.08-0.110.86
Jalisco90,912131,557130,01282,389120,016120,9140.35-0.210.07
Mexico state323,378464,284403,100234,864261,553326,6431.29-0.62-0.14
Michoacan45,38762,78252,09155,14481,14592,6520.881.213.16
Morelos44,67463,11760,90924,55236,64642,3540.32-0.30-0.08
Nayarit28,11248,83639,40520,90025,07126,1162.30-0.440.84
Nuevo Leon82,853114,089141,65440,06961,71861,2800.220.530.88
Oaxaca40,92666,12657,40866,27485,67191,018-0.230.720.33
Puebla77,367104,349113,37174,636110,804113,342-3.36-1.00-0.99
Queretaro55,73977,462105,43120,44132,68531,3790.270.651.10
Quintana Roo84,725122,690116,61622,12441,81146,9680.29-0.140.11
San Luis Potosi31,48445,56139,59338,09451,03858,692-0.172.491.89
Sinaloa39,73055,78465,66074,72581,58280,191-0.26-0.44-0.58
Sonora40,24462,68656,81235,37645,96341,9282.44-0.112.06
Tabasco18,35131,39635,58347,52656,09053,044-0.15-0.29-0.40
Tamaulipas94,72687,74158,52042,71074,21588,865-0.74-3.24-1.58
Tlaxcala21,49629,92429,01914,12020,98221,8610.21-0.20-0.03
Veracruz93,576159,584134,177191,791198,937199,758-0.600.67-0.33
Yucatan27,58440,47051,04424,16932,39234,2941.371.073.90
Zacatecas16,62823,41720,07721,25528,84335,2270.171.792.27

Gravity equation estimates (OLS, PPML, and GME)

OLS 2FEPPML 2FEGME 2FEGME 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)0.0650.0120.0660.092
(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)0.370.0330.3670.465
(1.63)(0.84)(3.06)**(5.28)**
Log GDP (origin)0.3420.0670.3570.266
(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)0.01–0.0010.0120.106
(0.15)(0.16)(0.23)(2.67)**
Log education (destination)0.070.0840.142.256
(0.06)(0.46)(0.25)(5.33)**
Log education (origin)1.4780.181.552–0.023
(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)0.1470.0270.1440.069
(4.09)**(4.89)**(5.36)**(3.47)**
Birthrate difference (destination–origin)–0.258–0.032–0.2540.093
(0.85)(0.7)(1.6)(0.8)
Log population (destination)–0.256–0.005–0.1840.62
(0.51)(0.07)(0.91)(4.12)**
Log population (origin)–0.332–0.017–0.3150.137
(1.69)(0.56)(1.56)(0.91)
Wage difference (destination–origin)0.0020.000.0020.002
(1.01)(0.78)(2.17)*(4.09)**
Log immigrant proportion0.8840.1320.8830.232
(48.01)**(47.85)**(88.99)**(9.71)**
Border with USA–0.939–0.121.966.183
(1.1)(0.97)(6.15)**(11.23)**
Period 2 dummy0.5730.0790.5480.149
(5.21)**(4.84)**(6.06)**(2.18)*
Period 3 dummy0.2680.0220.218–0.219
(1.32)(0.75)(1.41)(1.89)
Constant9.7261.2315.39–12
(1.0)(0.88)(1.19)(3.41)**
Origin FEYesYesYesYes
Destination FEYesYesYesYes
Pair-specific FENoNoNoYes
Model entropy3,346.84,371.1
Pseudo-R20.00010.0004
R20.950.94
N2976297629762976

Estimation of gravity model (GME 3FE) per period

GME P1GME P2GME P3
Log homicide rate (destination)–0.169–0.125–0.292
(7.36)**(12.45)**(8.90)**
Log homicide rate (origin)0.1180.054–0.395
(5.87)**(3.44)**(15.93)**
Other control covariatesYesYesYes
Origin FEYesYesYes
Destination FEYesYesYes
Pair-specific FEYesYesYes
Model entropy2,179.62,179.62,179.6
Pseudo-R20.000.000.00
N992992992

j.izajodm-2020-0008.tab.012.w2aab3b7d145b1b6b1ab2b4b5b2Aa

Decomposition P1–P2Decomposition P1–P3
ExplainedUnexplainedExplainedUnexplained
Total–0.2230.6190.1860.180
(0.069)**(0.02)**(0.072)*(0.033)**
Log distance00.2960–1.05
(0.000)(0.045)**(0.000)(0.053)**
Log GDP (destination)0.017–5.550.038–18.2
(0.006)**(0.362)**(0.007)**(0.574)**
Log GDP (origin)–0.0063.46–0.0133.82
(0.003)*(0.446)**(0.004)**(0.447)**
Log unemployment (destination)0.018–0.3480.042–2.24
(0.009)*(0.070)**(0.021)*(0.104)**
Log unemployment (origin)0.037–0.280.086–2.46
(0.005)**(0.066)**(0.011)**(0.073)**
Log FDI (destination)0.0030.7330.0102.2
(0.005)(0.199)**(0.015)(0.245)**
Log FDI (origin)0.0010.4830.0047.53
(0.004)(0.146)**(0.011)(0.30)**
Log homicide rate (destination)–0.040–0.057–0.0790.889
(0.007)**(0.191)(0.012)**(0.295)**
Log homicide rate (origin)0.0361.180.0724.58
(0.006)**(0.26)**(0.011)**(0.234)**
Log population (destination)0.0524.970.12813.24
(0.018)**(0.485)**(0.019)**(0.593)**
Log population (origin)0.003–1.740.009–10.09
(0.002)(0.356)**(0.004)*(0.623)**
Log immigrant proportion–0.316–0.337–0.0880.088
(0.058)**(0.027)**(0.057)(0.033)**
Border with USA0–0.09400.221
(0.002)(0.012)**(0.002)(0.019)**

Decomposition of mean predictions differences between periods 1 and 2, and periods 1 and 3

Decomposition P1–P2Decomposition P1–P3
ExplainedUnexplainedExplainedUnexplained
Total–0.2650.6610.1210.244
(0.069)**(0.02)**(0.073)(0.036)**
Log distance00.2530–1.09
(0.000)(0.045)**(0.000)(0.053)**
Log GDP (destination)0.017–6.360.037–20.7
(0.006)**(0.362)**(0.007)**(0.818)**
Log GDP (origin)–0.0014.1–0.0036.36
(0.002)(0.377)**(0.004)(0.633)**
Log unemployment (destination)0.008–0.2980.018–2.29
(0.009)(0.074)**(0.022)(0.106)**
Log unemployment (origin)0.029–0.0480.066–2.14
(0.005)**(0.041)(0.011)**(0.068)**
Log FDI (destination)0.0060.3380.0172.11
(0.005)(0.195)(0.015)(0.238)**
Log FDI (origin)–0.0010.545–0.0056.98
(0.004)(0.134)**(0.011)(0.29)**
Log homicide rate (destination)–0.047–0.383–0.1041.02
(0.008)**(0.218)(0.015)**(0.334)**
Log homicide rate (origin)0.0330.5600.0734.28
(0.006)**(0.221)*(0.013)**(0.267)**
Log population (destination)0.0525.820.12614.79
(0.018)**(0.492)**(0.019)**(0.72)**
Log population (origin)0.001–1.890.003–10.76
(0.002)(0.437)**(0.004)(0.653)**
Log immigrant proportion–0.317–0.282–0.0890.13
(0.059)**(0.027)**(0.058)(0.033)**
Border with USA0–0.0820–0.022
(0.003)(0.011)**(0.003)(0.017)

j.izajodm-2020-0008.tab.008.w2aab3b7d145b1b6b1ab2b4b2b2Aa

Average homicidesAHRAHR variation
StateP1P2P3P1P2P3P1–P2P2–P3P1–P3
Aguascalientes2354590.0390.0780.0731.034–0.0690.894
Baja California4419847490.2890.5400.3380.867–0.3740.169
Baja California Sur2938820.1000.1100.1830.1010.6580.825
Campeche5049700.1130.0950.120–0.1580.2600.061
Coahuila de Zaragoza1352216900.0880.1310.3610.4851.7583.094
Colima50672060.1460.1730.4420.1831.5552.024
Chiapas3413234170.1490.1230.135–0.1790.097–0.099
Chihuahua5722,7742,5400.2901.3111.0943.519–0.1652.772
Mexico city9419311,0920.1510.1450.163–0.0390.1210.077
Durango1755865910.1920.5910.5332.082–0.0981.779
Guanajuato2133327560.0730.1040.2020.4200.9361.748
Guerrero6401,1942,2930.3480.6131.0220.7630.6661.937
Hidalgo82911970.0570.0580.1060.0120.8280.850
Jalisco4646481,3680.1130.1440.2670.2820.8461.367
Mexico state1,9261,7102,8890.2320.1850.272–0.2040.4680.169
Michoacan5927698810.2380.2950.2940.241–0.0030.236
Morelos1812475290.1820.2300.4190.2630.8211.300
Nayarit1242202830.2060.3430.3720.6640.0820.800
Nuevo Leon1203921,1930.0450.1330.3581.9541.6826.920
Oaxaca6256067400.2950.2670.285–0.0940.067–0.034
Puebla3703435320.1190.0990.136–0.1710.3760.141
Queretaro87701180.0980.0670.093–0.3110.375–0.052
Quintana Roo991241500.1770.1820.1630.028–0.109–0.084
San Luis Potosi1802153310.1250.1360.1860.0890.3730.496
Sinaloa4421,0971,3590.2660.6280.6901.3650.0991.599
Sonora2374645950.1600.2870.3180.7950.1070.988
Tabasco1031622540.0850.1220.1650.4340.3510.937
Tamaulipas2384191,0260.1280.2030.4530.5891.2272.539
Tlaxcala5054850.0810.0770.105–0.0480.3720.305
Veracruz3734479330.0830.0920.1720.1110.8751.083
Yucatan4142500.0370.0340.036–0.0820.053–0.033
Zacatecas881033440.1040.1140.3370.1001.9552.252
eISSN:
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Sprache:
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