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The distributional impact of the Sierra Leone conflict on household welfare Cover

The distributional impact of the Sierra Leone conflict on household welfare

By: Barry Reilly and  Hannah Sam  
Open Access
|Dec 2022

Figures & Tables

Figure 1

(A) The Density Functions of Household Expenditure by Conflict Exposure (1989). (B) The Distribution Functions of Household Expenditure by Conflict Exposure (1989).

Figure 2

(A) The Density Functions of Household Expenditure by Conflict Exposure (2003). (B) The Distribution Functions of Household Expenditure by Conflict Exposure (2003).

Figure 3

(A) The Density Functions of Household Expenditure by Conflict Exposure (2011). (B) The Distribution Functions of Household Expenditure by Conflict Exposure (2011).

Figure 4

Point Estimates and 95% Confidence Intervals for Quantile Conflict Treatment Effects (1989).Notes: The QTT point estimates are derived using expression Eq. (4) in the text with the variables included in the local logistic treatment assignment equation described in the notes to Table 7. The 95% confidence intervals are based on bootstrapping with 250 replications. The mean estimate is obtained using a regression model containing the same set of covariates.

Figure 5

Point Estimates and 95% Confidence Intervals for Quantile Conflict Treatment Effects (2003).Notes: The QTT point estimates are derived using the expression in Eq. (4) in the text with the variables included in the local logistic treatment assignment equation described in the notes to Table 7. The 95% confidence intervals are based on bootstrapping with 250 replications. The mean estimate is obtained using a regression model containing the same set of covariates.

Figure 6

Point Estimates and 95% Confidence Intervals for Quantile Conflict Treatment Effects (2011).Notes: The QTT point estimates are derived using the expression in Eq. (4) in the text with the variables included in the local logistic treatment assignment equation described in the notes to Table 7. The 95% confidence intervals are based on bootstrapping with 250 replications. The mean estimate is obtained using a regression model containing the same set of covariates.

Figure A1

Conflict Exposure by Rebel Occupation based on the Presence of Rebel Headquarters by Chiefdom.

Mean and Quantile Treatment Effects using the Log of Household Expenditure

Mean10th25th50th75th90th
1989:
Conflict exposure−0.0831 (0.0588)−0.0560 (0.0825)−0.1853*** (0.0769)−0.0813 (0.1476)−0.0115 (0.0876)0.1183 (0.1213)
Observations3,4393,4223422342234223422
2003:
Conflict exposure−0.4437*** (0.0531)−0.1624*** (0.0547)−0.3065*** (0.0635)−0.3974*** (0.0392)−0.5515*** (0.0336)−0.6821*** (0.0579)
Observations370237023702370237023702
2011:
Conflict exposure−0.2601*** (0.0498)0.0786** (0.0332)−0.0390** (0.0189)−0.1401*** (0.0161)−0.2726*** (0.0269)−0.3013*** (0.0388)
Observations676367636763676367636763

Log Household Expenditure Differentials between Conflict and Non-conflict Affected Households (Self-reported) at the Mean and Selected Quantiles

Mean and percentiles2003
Mean−0.5345*** (0.0419)
10th−0.2045*** (0.0456)
25th−0.3553*** (0.0434)
50th−0.4663*** (0.0370)
75th−0.6084*** (0.0374)
90th−0.7859*** (0.0403)
Observations:3696
Treatment1319
Control2377

OLS and Quantile Treatment Effects using Log Household Expenditure – Interaction between Main Conflict Exposure measure and Conflict Deaths per Chiefdom Above Median

Mean10th25th50th75th90th
1989:
Conflict exposure0.1043 (0.0411)−0.0507 (0.0693)0.0664 (0.0778)0.2282 (0.1420)0.4757*** (0.0651)0.2630*** (0.0758)
Observations343934393439343934393439
2003:
Conflict exposure−0.1472*** (0.0486)−0.0265 (0.0483)−0.0762** (0.0378)−0.1585*** (0.0310)−0.3421*** (0.0462)−0.5065*** (0.0517)
Observations370237023702370237023702
2011:
Conflict exposure−0.1612*** (0.0377)−0.0980** (0.0271)−0.0933*** (0.0264)−0.1066*** (0.0218)−0.1562*** (0.0287)−0.2121*** (0.0447)
Observations676367636763676367636763

OLS and Quantile Treatment Effects of Conflict on Log Household Expenditure using Self-reported Conflict Events

OLS10th25th50th75th90th
2003:
Conflict events−0.446*** (0.0460)−0.1796*** (0.0561)−0.2906*** (0.0582)−0.3885*** (0.0375)−0.5469*** (0.0381)−0.6834*** (0.0576)
Observations369636963696369636963696

Semi-parametric Local Logistic Treatment Assignment Regression Model – Quantile Treatment Effect Estimation for Conflict Exposure

Variables198920032011
Head's age0.0008615 (0.022450)0.00661** (0.00290)−0.00220 (0.0113)
Head's age sq−0.000124*** (3.93e–05)-−4.33e–05 (0.000104)
Head male−0.171 (0.146)0.626*** (0.186)0.338*** (0.0736)
Married head0.0970 (0.182)−0.657*** (0.210)−0.294 (0.261)
Dependency ratio−0.122** (0.0599)0.186 (0.122)0.173** (0.0779)
Urban settlement0.0205 (0.177)−1.974*** (0.282)−3.046*** (0.196)
Primary education−0.670*** (0.0944)0.957*** (0.235)0.472*** (0.165)
Higher education-0.790* (0.433)−0.493*** (0.0752)
Household size−0.0723* (0.0403)−0.149*** (0.0570)−0.152*** (0.0379)
Primary × urban-−0.867*** (0.306)−0.270 (0.216)
Head male × urban-−1.496*** (0.287)
Household size squared0.00192 (0.00225)0.00312 (0.00330)0.00336* (0.00196)
Household size × urban−0.0245 (0.0250)0.161*** (0.0291)0.195*** (0.0211)
Married × urban-1.843*** (0.297)0.424*** (0.142)
Muslim-0.545*** (0.126)−0.724*** (0.0999)
Temne tribe-−1.886*** (0.0915)-
Muslim × urban-0.222 (0.179)0.670*** (0.136)
Higher education × urban-−1.727*** (0.500)-
Dependency ratio × urban0.0843 (0.0945) −0.234*** (0.0523)
Dependency ratio squared- 0.00934 (0.0131)
Constant2.523*** (0.227)1.651*** (0.310)2.444*** (0.348)
Observations343937026763

The Impact of Conflict on the Gini Coefficient using the Inverse Probability Weighting Procedure (without Freetown)

Conflict Exposure

198920032011
ATT0.0031 (0.0147)3439−0.0780*** (0.0127)3582−0.0003 (0.0047)6,656
Observations:
Treatment116716664041
Control227219162615

Log Household Expenditure Differentials between Conflict and Non-conflict Zones at the Mean and Selected Quantiles

Mean and selected percentiles198920032011
Mean0.0526 (0.0621)−0.5447*** (0.0502)−0.3318*** (0.0403)
10th−0.2506*** (0.0611)−0.1923*** (0.0552)−0.0037 (0.0026)
25th−0.1037*** (0.0649)−0.3762*** (0.0413)−0.1453*** (0.1806
50th−0.0000 (0.1028)−0.4798*** (0.0354)−0.3444*** (0.0193)
75th0.3696*** (0.0777)−0.6325*** (0.0375)−0.4967*** (0.0217)
90th0.1589** (0.0813)−0.7974*** (0.0528)−0.5485*** (0.0317)
Observations:343937026763
Treatment116716664041
Control227220362722

Summary Statistics of Household Characteristics by Conflict Exposure

198920032011



ConflictNon-conflictConflictNon-conflictConflictNon-conflict
Head's characteristics:
Age44.43 (11.44)43.75 (11.91)46.8013.9946.1914.2945.7014.6845.4913.83
Age squared2104.39 (1119.90)2056.01 (1193.83)2386.051461.482337.351483.032304.351515.082259.991409.94
Gender:
Male0.870.850.820.800.720.74
Female0.130.150.180.200.260.24
Education:
Primary0.680.560.090.080.080.09
High0.320.440.020.040.120.11
Secondary--0.120.200.050.21
No education--0.750.640.760.59
Marital Status:
Married0.920.920.840.790.810.77
Cohabit0.040.060.010.010.010.01
Other status0.050.090.150.160.150.15
Single0.020.020.010.030.030.06
Tribes:
Mende--0.380.37--
Temne--0.240.23--
Other tribes--0.380.40--
Religion:
Muslim----0.780.74
Christian----0.210.25
Other religions----0.010.01
Other Characteristics:
Urban0.330.350.300.400.170.48
Dependency ratio0.990.910.950.941.081.15
0.910.930.900.871.031.16
Household size6.165.296.286.115.645.61
4.053.342.612.852.472.67
Household size squared54.3739.1446.2845.4337.9838.76
69.7150.2240.4845.5535.6642.79
Sample size116722721666203627224041

Logistic Treatment Assignment Model for Conflict Exposure and Conflict Events

198920032011



Conflict ExposureConflict ExposureConflict EventsConflict Exposure
Age of head0.00789 (0.0199)0.0183 (0.0138)0.0275* (0.0159)−0.0364*** (0.0104)
Age of head square−0.000157 (0.000200)−0.000162 (0.000131)−0.000195 (0.000151)0.000330*** (0.00010)
Head being male0.206 (0.126)−0.192 (0.154)0.620*** (0.185)−0.0641 (0.0826)
Head married−0.0147 (0.163)−0.164 (0.166)−0.568*** (0.208)−0.0602 (0.0991)
Dependency ratio0.0241 (0.0554)0.0530 (0.0499)−0.0995* (0.0589)−0.0231 (0.0308)
Urban−0.118 (0.149)−0.978*** (0.246)−1.082*** (0.284)−2.127*** (0.201)
Head with prim educ0.535*** (0.0804)−0.0175 (0.160)0.882*** (0.224)−0.228* (0.125)
Head with higher educ-−0.469** (0.206)−0.478** (0.204)−0.0725 (0.123)
Household size−0.0322 (0.0376)0.210*** (0.0492)−0.275*** (0.0601)−0.00466 (0.0297)
Head with prim edu × urban-0.408* (0.243)−0.767** (0.303)0.0987 (0.218)
Head male × urban-0.131 (0.257)−1.142*** (0.298)−0.310** (0.157)
Dependency ratio × urban0.0530 (0.0873)−0.0706 (0.0799)−0.326*** (0.0948)−0.0557 (0.0545)
Household size square0.00615*** (0.00219)−0.0114*** (0.00304)0.00863** (0.00352)−0.00193 (0.00188)
Household size × urban0.00229 (0.0229)−0.0409 (0.0268)0.0953*** (0.0297)0.0886*** (0.0225)
Head married × urban−0.200 (0.326)0.967*** (0.262)1.552*** (0.311)0.391** (0.170)
Head Muslim-0.330*** (0.0836)0.520*** (0.0940)−0.0841 (0.0771)
Head × Temne tribe-−0.0129 (0.0817)−1.711*** (0.0911)-
Head × Muslim × urban---0.151 (0.141)
Constant−1.294*** (0.486)−1.299*** (0.393)1.449*** (0.465)1.216*** (0.274)
LRT105.55137.95590.44781.24
LRT prob-value0.00000.000.000.000
McFadden R20.02400.02710.1290.0867
Observations3,4393,7023,6976,763

The Impact of Conflict on the Gini Coefficient using Alternative Conflict Measures

Estimation MethodsExposure (7 years cut-off)Exposure (above median dummy)


198920032011198920032011
(1) Unweighted0.0040 (0.0157)−0.0912*** (0.0128)−0.0055 (0.0052)0.0257 (0.0185)−0.0952*** (0.0141)−0.0147** (0.0051)
(2) Weighted0.0030 (0.0141)−0.0805*** (0.0131)0.0037 (0.0038)0.0263 (0.0214)−0.0811*** (0.0138)−0.0074 (0.0046)
(3) PS regressor0.0041 (0.0198)−0.0924*** (0.0157)−0.0035 (0.0052)0.0254 (0.0189)−0.0954*** (0.0152)−0.0139* (0.0050)
(4) Matching (ATT)0.0109 (0.0188)−0.0563*** (0.0189)0.0051 (0.0084)0.0365 (0.0194)−0.0768*** (0.0238)−0.0758 (0.0571)
(5) IPW (ATT)0.0031 (0.0145)−0.0845*** (0.0132)−0.0001 (0.0056)0.0253 (0.0174)−0.0827*** (0.0138)−0.0168** (0.0053)
Observations:343937026763343937026763
Treatment116716664041195419654041
Control227220362722148517372722

OLS and Quantile Treatment Effects using Log Household Expenditure – Conflict Exposure using Conflict Deaths per Chiefdom Above the Median

Mean10th25th50th75th90th
1989:
Conflict exposure0.1043 (0.0411)−0.0505 (0.0692)0.0661 (0.0776)0.2283 (0.1421)0.4849*** (0.0649)0.2627*** (0.0763)
Observations343934393439343934393439
2003:
Conflict exposure−0.1468*** (0.0485)−0.0255 (0.0481)−0.0761 (0.0379)−0.1594*** (0.0309)−0.3416*** (0.0451)−0.5074*** (0.0517)
Observations370237023702370237023702
2011:
Conflict exposure−0.1607*** (0.0377)−0.0974** (0.0264)−0.0934*** (0.0265)−0.1065*** (0.0217)−0.1563*** (0.0285)−0.2119*** (0.0456)
Observations676367636763676367636763

The Impact of Conflict on the Distribution of Expenditure using the Gini Coefficient

Estimation MethodsConflict Exposure

198920032011
(1) Unweighted0.0039 (0.0156)−0.0908*** (0.0126)−0.0051 (0.0050)
(2) Weighted0.0025 (0.0140)−0.0804*** (0.0125)0.0037 (0.0048)
(3) PS regressor0.0039 (0.0197)−0.0912*** (0.0152)−0.0030 (0.0050)
(4) Matching (ATT)0.0108 (0.0184)−0.0552*** (0.0183)0.0048 (0.0081)
(5) IPW (ATT)0.0031 (0.0147)−0.0834*** (0.0125)−0.0001 (0.0048)
Observations:343937026763
Treatment116716664041
Control227220362722

Standard Deviation of Log of Household Expenditure by Conflict Exposure

198920032011
Standard deviation:
Overall1.45960.76270.6121
Conflict1.56610.60130.5602
Non-conflict1.39970.86080.6230
Change0.1664−0.2595−0.0628
Raw difference-in-difference
D-i-D1 (2003–1989)n/a−0.4259n/a
D-i-D2 (2011–1989)n/an/a−0.2292
Observations:343937026763
Treatment116716664041
Control227220362722

The Impact of Conflict on the Gini Coefficient using Self-reported Conflict Events

Conflict Events

Estimation Methods2003
(1) Unweighted−0.0802*** (0.0183)
(2) Weighted−0.0751*** (0.0214)
(3) PS regressor−0.0800*** (0.0169)
(4) Matching (ATT)−0.0691*** (0.0265)
(5) IPW (ATT)−0.0736*** (0.0395)
Observations:3696
Treatment1319
Control2377

Post-war (2011) Covariate balancing Tests using Conflict Exposure

TreatedControl%Biast-valuep > tVariance Ratio
Age of head45.7146.06−2.40−0.870.381.05
Head with primary educ0.070.060.900.360.721.05
Head with higher educ0.050.041.600.700.481.09
Head male0.730.74−2.20−0.780.441.03
Head married0.810.82−2.40−0.920.361.03
Dependency ratio1.081.09−0.80−0.300.771.01
Household size5.655.66−0.40−0.170.861.11
Age of head squared2304.412320.10−1.10−0.380.701.06
Urban0.170.17−0.20−0.090.930.99
Dependency ratio × urban0.190.19−0.40−0.190.851.04
Head being married × urban0.120.12−0.30−0.120.910.99
Head being male × urban0.110.12−0.80−0.360.720.97
Head with prim educ × urban0.020.02−0.10−0.060.960.99
Household size × urban0.950.930.500.220.821.01
Household size sq37.9837.451.300.540.591.11
Head a Muslim0.780.78−1.10−0.400.691.02
Head a Muslim × urban0.120.120.000.010.991.00

The Impact of Conflict on the Gini Coefficient using Interaction between Main Conflict Exposure measure and Conflict Deaths per Chiefdom Above Median

Estimation MethodsConflict Exposure Interacted with the above Median Deaths Dummy

198920032011
(1) Unweighted0.0232 (0.0195)−0.0948*** (0.0138)−0.0148** (0.0050)
(2) Weighted0.0252 (0.0224)−0.0810*** (0.0136)−0.0076 (0.0041)
(3) PS regressor0.0250 (0.0191)−0.0965*** (0.0153)−0.0139* (0.0050)
(4) Matching (ATT)0.0361 (0.0193−0.0772*** (0.0241)−0.0754 (0.0571)
(5) IPW (ATT)0.0242 (0.0184)−0.0830*** (0.0137)−0.0170** (0.0052)
Observations:343937026763
Treatment195419654041
Control148517372722

Post-war (2003) Covariate Balancing Tests using Conflict Exposure

TreatedControl%Biast-valuep >tVariance Ratio
Age of head46.8046.661.000.290.770.99
Age of head sq2386.002374.700.800.220.820.99
Head male0.820.83−4.90−1.470.140.87
Head married0.840.86−5.10−1.580.111.11
Dependency ratio0.950.941.500.440.661.10
Urban0.300.30−0.80−0.240.810.99
Head with prim educ0.090.090.300.090.931.01
Head with higher educ0.020.020.200.060.951.01
Household size6.286.251.300.400.691.01
Head prim educ × urban0.040.040.700.220.831.04
Head being male × urban0.250.25−0.60−0.170.860.98
Dependency ratio × urban0.300.30−0.20−0.080.941.08
Household size sq46.2845.751.200.380.711.01
Household size × urban1.871.90−0.80−0.240.810.99
Head married × urban0.250.26−1.60−0.460.650.98
Head a Muslim0.800.80−0.10−0.020.991.00
Head from Temne tribe0.240.240.300.070.941.00

Pre-war and Post-war Balancing Property Diagnostics

YearsPseudo R2LRT Chi-squaredprob > Chi-squaredMean BiasMedian BiasBR%Concern%Bad
1989:
Unmatched0.038137.330.0018.2021.8043.10*2.52*33.008.00
Matched0.00211.200.432.101.609.101.240.000.00
2003:
Unmatched0.149661.030.0018.4014.0097.6*0.7359.0012.00
Matched0.00319.840.2832.402.1013.001.460.000.00
2011:
Unmatched0.1281143.230.0025.0011.3089.71*1.0335.0024.00
Matched0.00110.790.8661.200.807.401.150.000.00

Chiefdom Allocation to “Treatment” and “Control” Group

Years in SurveyChiefdoms in Treatment GroupChiefdoms in Control Group
1989, 2003, and 2011Eastern Regions:BiriwaBombali ShebroBumDamaFiamaJawieManduLower BambaraNimikoroNjaluahunNongowaSimbaruSmall BoTankoroNorthern RegionGbanti-KamarankaGbendembu NdowahunGbinleh DixingSouthern Region:JongKaiyambaPanga KaboneValuniaBumpehFakunyaNorthern Region:KoyaMagbemaMakari GbantiMalalMamboloMasungbalaSanda LokoSella LimbaEastern Region:MalegohunGbenseGorama KonoNorthern Region:Paki MasabongSamuDembelia SinkuniaFollosaba DembeliaSulimaWara Wara YagalaKaffu BullomLokomasamaMaforkiMarampaGbonkolenkenKholifa MabangKunike BarinaSouthern Region:BagboBaomaJaiama BongorKakuaKomboyaTikonkoImperiKpanga KemoBumpehUpper BantaBarriWestern AreaMountainYork RuralWaterlooCentral 1Central 2East 1East 2East 3West 1West 2West 3

2003 and 2011 onlyEastern Regions:Kissi KamaLuawaPenguiaYaweiGorama MendeLangramaGbaneKamaraLeiNimiyamaSandorNorthern Region:Safroko LimbaSanda TendarenTambakkaTonko LimbaMongoNeyaSengbeBureh KassehBuya RomendeDibiaSanda MagbolontorSouthern Region:JongNongoba BullomKamajeiKongboraMakpelePejehSoro GbemaEastern Regions:Kissi TongiKpeje BongreKpeje WestDodoGauraKandu LekpeamaNomoTunkiaWandorMafindorSoaMalemaNomoNiawaNorthern Region:LibeisaygahunMagbaimbaNdorhahunKasunkoNieniWara Wara BafodiaMasimeraKafe SimiraKalansogoiaTanePaki MasonbongBraiamaDiangSouthern region:Bumpe NgawoNiawa LengaBendu ChaSogbiniBagruwaKagboroKowaLower BantaTimdaleGallinas PeriMano SakrimYakemo Kpukumu KrimBadjiaBagboWundeKwamebi Krim- BedumaSittia- YonniYawbeko- TaliaDasseKoriRibbiKpakaSowa

Kolmogorov–Smirnov Tests for Equality of Distributions by Conflict Exposure

YearsDistanceExact Prob-value
19890.04920.121
20030.26890.000
20110.25150.000

Gini Coefficient for Household Expenditure by Conflict Exposure

198920032011
Gini Coefficient:
Overall0.672*** (0.008)0.442*** (0.008)0.3380*** (0.003)
Conflict0.659*** (0.009)0.377*** (0.012)0.302*** (0.005)
Non-conflict0.677*** (0.011)0.434*** (0.010)0.344*** (0.004)
Change−0.017 (0.014)−0.057*** (0.016)−0.042*** (0.006)
Difference-in-difference
D-i-D1 (2003–1989)n/a−0.040** (0.021)n/a
D-i-D2 (2011–1989)n/an/a−0.025 (0.015)
Observations:343937026763
Treatment116716664041
Control227220362722

Overidentification Tests for the IPW Procedure

YearsConflict Exposure

Test StatisticProb-value
198918.92610.1248
200329.97650.1187
201118.58190.3528

OLS and Quantile Treatment Effects using Log Household Expenditure – Conflict Exposure (using ≥7 years of rebel occupation as the cut-off)

Mean10th25th50th75th90th
1989:
Conflict exposure−0.0841 (0.0598)−0.0520 (0.0885)−0.1803*** (0.0716)−0.0822 (0.1480)−0.0120 (0.0854)0.1180 (0.1214)
Observations343934393439343934393439
2003:
Conflict exposure−0.1468*** (0.0485)−0.0149 (0.0500)−0.0542 (0.0358)−0.0928*** (0.0318)−0.2208*** (0.0384)−0.4167*** (0.0512)
Observations37023702370237023702370
2011:
Conflict exposure−0.1607*** (0.0377)−0.0974** (0.0264)−0.0934*** (0.0265)−0.1065*** (0.0217)−0.1563*** (0.0285)−0.2119*** (0.0456)
Observations676367636763676367636763

Pre-war (1989) Covariate Balancing Tests Using Conflict Exposure

TreatedControl%Biast-valuep > tVariance Ratio
Age of head42.8643.01−1.20−0.480.630.98
Age of head sq1958.501971.20−1.10−0.450.651.07
Head male0.860.87−2.60−0.980.330.99
Head cohabiting0.930.93−0.90−0.340.731.02
Dependency ratio0.900.881.900.840.401.13
Urban0.340.36−3.20−1.170.241.00
Head with prim educ0.570.59−4.40−1.550.120.97
Head with higher educ0.430.414.501.550.120.97
Household size5.415.44−0.70−0.280.781.01
Household size sq41.5241.65−0.20−0.090.931.07
Head with prim educ × urban0.190.19−1.20−0.440.660.98
Head male × urban0.290.31−2.90−1.060.290.99

Sierra Leone Household Expenditure Percentile Ratios by Conflict Exposure

90th–10th90th–50th50th–10th

50th50th50th
1989:
Overall10.13159.39090.7406
Conflict8.11307.27570.8373
Non-conflict9.38918.66310.7260
Change−1.2761−1.38740.1113
2003:
Overall2.56142.01070.5507
Conflict1.66371.14580.5178
Non-conflict3.21742.62550.5919
Change−1.5537−1.4797−0.0741
2011:
Overall1.75921.25370.5055
Conflict1.45170.95200.4994
Non-conflict1.84871.34080.5078
Change−0.3970−0.3888−0.0084
Raw difference-in-difference
D-i-D1 (2003–1989)−0.2776−0.0923−0.1854
D-i-D2 (2011–1989)0.87910.9986−0.1197

Quantile Treatment Effects on the Treated using Log Household Expenditure – Conflict Exposure (without Freetown)

OLS10th25th50th75th90th
1989:
Conflict exposure0.2066*** (0.0482)−0.0506 (0.0745)0.0661 (0.0817)0.2283 (0.1561)0.4849*** (0.0631)0.2627*** (0.0710)
Observations343934393439343934393439
2003:
Conflict exposure−0.3882*** (0.0512)−0.0872 (0.0594)−0.2025*** (0.0701)−0.3468** (0.0474)−0.5469*** (0.0407)−0.6848*** (0.0796)
Observations358235823582358235823582
2011:
Conflict exposure−0.2537*** (0.0499)0.0903** (0.0328)−0.0326 (0.0198)−0.1364*** (0.0167)−0.2692*** (0.0277)−0.3136*** (0.0344)
Observations665666566656665666566656

The Impact of Conflict on the Gini Coefficient using Inverse Probability Weighting (With 64 Chiefdoms) based on Conflict Exposure

Using 64 Chiefdoms

198920032011
ATT0.0031 (0.0147)−0.0950*** (0.0193)−0.0016 (0.0068)
Observations:343921563730
Treatment11678942230
Control227212621500

Quantile Treatment Effects using Log Household Expenditure Based on Conflict Exposure with more than Eight Years of Rebel Occupation (with 64 chiefdoms)

Mean10th25th50th75th90th
1989:
Conflict exposure0.2066*** (0.0482)−0.0506 (0.0745)0.0661 (0.0817)0.2283 (0.1561)0.4849*** (0.0631)0.2627*** (0.0710)
Observations343934393439343934393439
2003:
Conflict exposure−0.3918*** (0.0606)−0.1013 (0.0675)−0.2222*** (0.0465)−0.2961** (0.0404)−0.4577*** (0.0491)−0.6048*** (0.0532)
Observations215621562156215621562156
2011:
Conflict exposure−0.1625*** (0.0582)−0.0831** (0.0367)−0.0976*** (0.0290)−0.1405*** (0.0253)−0.2576*** (0.0324)−0.3235*** (0.0452)
Observations377837783778377837783778
Language: English
Accepted on: Oct 8, 2022
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Published on: Dec 4, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Barry Reilly, Hannah Sam, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.