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Remittances and Household Investment Decisions: Evidence from sub-Saharan Africa Cover

Remittances and Household Investment Decisions: Evidence from sub-Saharan Africa

Open Access
|Apr 2022

Figures & Tables

Table 1

Summary statistics

UgandaKenyaNigeriaBurkina FasoSenegal
Received Remittances (= if yes)Not Received Remittances (= if yes)Received Remittances (= if yes)Not Received Remittances (= if yes)Received Remittances (= if yes)Not Received Remittances (= if yes)Received Remittances (= if yes)Not Received Remittances (= if yes)Received Remittances (= if yes)Not Received Remittances (= if yes)
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)
Female household head (=1 if yes)0.375 (0.485)0.282 (0.45)0.425 (0.495)0.221 (0.415)0.167 (0.374)0.074 (0.262)0.089 (0.285)0.051 (0.221)0.431 (0.496)0.186 (0.389)
Head is paid employee (=1 if yes)0.243 (0.43)0.254 (0.435)0.238 (0.426)0.408 (0.492)0.214 (0.41)0.297 (0.457)0.021 (0.143)0.033 (0.178)0.107 (0.31)0.217 (0.413)
Head is self-employed (=1 if yes)0.546 (0.499)0.631 (0.483)0.381 (0.486)0.383 (0.486)0.576 (0.494)0.626 (0.484)0.904 (0.294)0.935 (0.247)0.485 (0.5)0.533 (0.499)
Head has secondary education (=1 if yes)0.336 (0.473)0.326 (0.469)0.262 (0.44)0.296 (0.457)0.236 (0.425)0.214 (0.41)0.034 (0.181)0.036 (0.187)0.142 (0.349)0.15 (0.357)
Head has above secondary education (=1 if yes)0.418 (0.494)0.373 (0.484)0.251 (0.434)0.261 (0.439)0.521 (0.5)0.545 (0.498)0.012 (0.108)0.006 (0.078)0.055 (0.228)0.11 (0.313)
Head's age 45–60 years (=1 if yes)0.352 (0.478)0.224 (0.417)0.284 (0.451)0.301 (0.459)0.433 (0.496)0.365 (0.482)0.336 (0.473)0.306 (0.461)0.308 (0.462)0.386 (0.487)
Head's age >60 years (=1 if yes)0.204 (0.404)0.112 (0.315)0.316 (0.465)0.149 (0.356)0.284 (0.451)0.114 (0.318)0.318 (0.466)0.157 (0.364)0.336 (0.473)0.255 (0.436)
Log household income7.6 (1.091)7.181 (1.09)7.974 (1.102)7.755 (1.253)8.574 (0.902)8.321 (0.876)7.661 (0.787)7.591 (0.852)8.829 (0.731)8.612 (0.813)
Number of children in the household2.299 (1.998)2.045 (1.929)1.432 (1.54)1.47 (1.614)6.057 (3.183)6.039 (3.436)1.529 (1.545)1.492 (1.417)4.277 (3.631)3.18 (2.934)
Number of elderly in household0.332 (0.584)0.175 (0.433)0.583 (0.747)0.344 (0.637)0.504 (0.722)0.253 (0.562)0.67 (0.847)0.416 (0.675)0.703 (0.753)0.515 (0.709)
Household is in urban area (=1 if yes)0.51 (0.501)0.487 (0.5)0.423 (0.494)0.54 (0.499)0.456 (0.498)0.513 (0.5)0.067 (0.25)0.058 (0.235)0.631 (0.483)0.692 (0.462)
Remittances amount (in USD)776.47 (2,391.68)0 (0)2,170.59 (10,769.82)0 (0)1,847.85 (6,819.30)0 (0)181.86 (427.82)0 (0)1,890.90 (2,752.23)0 (0)
Domestic migration network (%)−1.915 (7.992)−2.849 (8.077)0.106 (0.169)0.152 (0.218)0.129 (0.082)0.108 (0.081)0.109 (0.031)0.103 (0.023)3.486 (2.122)3.67 (2.014)
International migration network (%)–
–
–
–
0.037 (0.045)0.045 (0.052)–
–
–
–
0.356 (0.17)0.329 (0.163)0.101 (0.116)0.128 (0.122)
Education investment (in USD)481.154 (769.14)269.02 (585.13)464.76 (965.26)375.07 (911.61)607.35 (944.09)360.37 (709.12)71.07 (134.21)50.86 (109.27)143.80 (209.14)106.97 (190.90)
Health investment (in USD)89.89 (131.07)48.15 (83.14)181.44 (420.75)128.95 (363.64)157.03 (236.93)100.82 (177.72)81.46 (116.24)74.74 (111.63)203.65 (299.5)145.53 (244.77)
Physical capital investment (in USD)91.94 (437.17)28.83 (232.32)142.41 (745.31)56.58 (384.57)211.58 (821.46)123.18 (591.59)19.33 (70.58)14.077 (51.69)34.77 (134.67)18.77 (92.35)
Social capital investment (in USD)30.01 (72.08)17.19 (53.70)100.34 (411.34)67.70 (327.98)186.17 (603.84)112.51 (432.07)52.20 (92.62)57.22 (95.56)269.08 (412.80)217.64 (346.22)
Number of observations3041,2997891,0328421,1887641,131839866

[i] Notes: This table presents the mean and standard deviation of the key variables.

[ii] Standard deviations are presented in parentheses.

Table 2

First stage regression estimates

UgandaKenyaNigeriaBurkina FasoSenegal
(1)(2)(3)(4)(5)
Domestic migration network0.004*** (0.001)−0.445*** (0.090)0.646*** (0.130)2.411*** (0.436)–
–
International migration network–
–
0.632* (0.356)–
–
0.312*** (0.068)−0.535*** (0.113)
Household head is female (=1 if yes)0.082*** (0.023)0.230*** (0.025)0.172*** (0.034)0.151*** (0.047)0.288*** (0.026)
Head paid employee (=1 if yes)−0.078** (0.040)−0.143*** (0.032)−0.200*** (0.039)−0.227*** (0.082)−0.118***
(0.041)
Head self-employed (=1 if yes)−0.096*** (0.034)−0.085*** (0.029)−0.137*** (0.034)−0.078 (0.055)−0.078*** (0.030)
Head has secondary education (=1 if yes)0.061** (0.024)0.014 (0.027)0.039 (0.031)0.058 (0.064)0.046 (0.035)
Head has above secondary education (=1 if yes)0.076** (0.030)0.040 (0.032)0.018 (0.030)0.177 (0.131)−0.022 (0.048)
Head's age 45–60 (=1 if yes)0.111*** (0.026)0.022 (0.026)0.123*** (0.024)0.114*** (0.025)−0.065** (0.026)
Head's age is >60 (=1 if yes)0.073 (0.060)0.125*** (0.045)0.212*** (0.044)0.212*** (0.037)−0.017 (0.038)
Log household income (in USD)0.057*** (0.010)0.071*** (0.011)0.085*** (0.013)0.024* (0.014)0.099*** (0.017)
Number of children in household0.010* (0.005)−0.001 (0.007)−0.004 (0.003)0.015* (0.008)0.017*** (0.004)
Number of elderly in household0.080* (0.041)0.036 (0.026)0.026 (0.024)0.039** (0.018)0.060*** (0.022)
Household is in urban area (=1 if yes)−0.002 (0.024)−0.070*** (0.025)−0.066*** (0.023)−0.075 (0.052)−0.077*** (0.027)
Constant−0.285*** (0.072)−0.109 (0.082)−0.324*** (0.108)−0.201 (0.137)−0.364** (0.135)
Observations1,6031,8212,0291,8951,705
F-statistics (test of excluded instrument)7.2416.1124.6820.5822.45
SW Chi-squared statistics (underidentification test)7.332.4724.8441.4722.62
SW F-statistics (weak identification test)7.2416.1124.6720.5822.45
Cragg-Donald Wald F-statistic (weak identification test)7.7814.6824.4420.0623.19
Hansen's J-statistic (overidentification test of instruments)–0.382–2.87–

Notes: This table presents the first stage estimates of our instrumental variable estimation. Robust standard errors are presented in parentheses. The SW F-statistics is a test of weak identification with a null hypothesis that the endogenous regressor is weakly identified. The Hansen's J-statistics are the test statistics from the Sargan–Hansen test of overidentifying restrictions. The joint null hypothesis is that the instruments are the valid instruments. The outcome variable in all columns is an indicator that equals one if a household received remittances.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

SW, Sanderson–Windmeijer.

Table 3

Effect of remittances on household investment decision

ProbitRecursive biprobit
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Received remittances (=1 if yes)0.049* (0.028)−0.016 (0.027)0.025 (0.020)0.051* (0.028)0.021 (0.023)0.002 (0.054)0.017* (0.009)0.030* (0.017)
Mean of the outcome variable0.6840.7920.1190.2990.6840.7920.1190.299
Observations1,6031,603
Panel-B: Kenya
Received remittances (=1 if yes)0.021 (0.022)0.014 (0.022)0.053*** (0.016)0.015 (0.024)0.174*** (0.014)0.182*** (0.007)0.106*** (0.028)0.169*** (0.011)
Mean of the outcome variable0.5940.6760.1410.4180.5940.6760.1410.418
Observations1,8211,821
Panel-C: Nigeria
Received remittances (=1 if yes)0.052** (0.020)0.021 (0.020)0.047*** (0.018)0.042* (0.022)0.170*** (0.017)−0.059** (0.025)0.113*** (0.022)−0.172*** (0.005)
Mean of the outcome variable0.7290.7640.1850.3740.7290.7640.1850.374
Observations2,0292,029
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.096*** (0.022)0.016 (0.016)0.000 (0.020)0.011 (0.023)0.157*** (0.024)0.186*** (0.017)−0.180*** (0.020)0.148*** (0.019)
Mean of the outcome variable0.6450.8750.2310.6490.6450.8750.2310.649
Observations1,8951,895
Panel-E: Senegal
Received remittances (=1 if yes)0.086*** (0.023)−0.002 (0.020)0.031** (0.015)−0.048** (0.023)0.189*** (0.051)0.033 (0.056)0.016 (0.055)0.209*** (0.013)
Mean of the outcome variable0.6720.8250.0960.7340.6720.8250.0960.734
Observations1,7051,705

Notes: This table reports the average marginal effects from the probit and recursive bivariate probit models. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is above 60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table 4

Alternative estimates of the effect of remittances on household investment decision

OLS2SLSImperfect IV
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
Panel-A: Uganda
Received remittances (=1 if yes)0.051**−0.0170.0280.053*1.673**0.6560.1021.317**[0.051, 1.673][0.051, 0.656][0.035, 0.102][0.180, 1.317]
(0.025)(0.026)(0.022)(0.031)(0.684)(0.468)(0.262)(0.619)(0.002, 3.014)(−0.043, 1.572)(−0.029, 0.616)(0.082, 2.530)
Observations1,6031,6031,603
Panel-B: Kenya
Received remittances (=1 if yes)0.0290.0160.056***0.0150.694***0.649***0.471***1.192***(0.722, 0.842)(0.853, 1.754)(0.499, 0.625)(1.436, 2.520)
(0.022)(0.022)(0.017)(0.024)(0.219)(0.232)(0.129)(0.270)(0.211, 1.792)(0.293, 3.281)(0.185, 1.246)(0.705, 4.498)
Observations1,8211,8211,821
Panel-C: Nigeria
Received remittances (=1 if yes)0.051**0.0200.049***0.042*0.791***−0.387**0.708***−0.872***(0.051, 0.791)(−0.387, 0.020)(0.049, 0.708)(−0.872, 0.042)
(0.020)(0.020)(0.019)(0.023)(0.232)(0.195)(0.226)(0.277)(0.012, 1.246)(−0.786, 0.060)(0.013, 1.150)(−1.415, 0.087)
Observations2,029
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.097***0.017−0.0010.0120.530***0.501***−0.415***1.145***(0.361, 0.777)(0.256, 0.858)(−1.338, −1.078)(0.012, 0.675)
(0.022)(0.016)(0.020)(0.023)(0.160)(0.131)(0.144)(0.233)(0.049, 1.441)(−0.018, 1.470)(−2.485, −0.101)(−0.033, 1.352)
Observations1,8951,8951,895
Panel-E: Senegal
Received remittances (=1 if yes)0.087***0.0040.028*−0.047**0.1610.203−0.1640.196(0.087, 0.161)(0.018, 0.203)(−0.164, 0.028)(−0.047, 0.196)
(0.023)(0.020)(0.016)(0.023)(0.192)(0.172)(0.119)(0.206)(0.041, 0.538)(−0.040, 0.539)(−0.398, 0.058)(−0.091, 0.600)
Observations1,7051,7051,705

Notes: This table reports the estimates of OLS, 2SLS, and IIV estimation. Robust standard errors are presented in parentheses. IIV estimation bounds are reported in square brackets and corresponding confidence intervals are reported in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

IIV, imperfect instrumental variable; IV, instrumental variables; OLS, ordinary linear regression.

Table 5

Effect of cash remittances on household investment decision

ProbitIV-probit
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Log (Cash remittances)0.008 (0.005)−0.003 (0.005)0.004 (0.003)0.009* (0.005)0.137*** (0.015)0.102** (0.046)0.019 (0.049)0.120*** (0.015)
Mean of the outcome variable0.6840.7920.1190.2990.6840.7920.1190.299
Observations1,6031,603
Panel-B: Kenya
Log (Cash remittances)0.000 (0.003)0.002 (0.004)0.006** (0.002)−0.000 (0.004)0.072*** (0.010)0.079*** (0.011)0.072*** (0.008)0.085*** (0.002)
Mean of the outcome variable0.5940.6760.1410.4180.5940.6760.1410.418
Observations1,8211,821
Panel-C: Nigeria
Log (Cash remittances)0.008** (0.003)0.002 (0.003)0.006** (0.003)0.003 (0.004)0.073*** (0.010)−0.044** (0.017)0.066*** (0.009)−0.073*** (0.009)
Mean of the outcome variable0.7290.7640.1850.3740.7290.7640.1850.374
Observations2,0292,029
Panel-D: Burkina Faso
Log (Cash remittances)0.020*** (0.005)0.005 (0.004)−0.001 (0.004)−0.001 (0.005)0.099*** (0.015)0.113*** (0.011)−0.096*** (0.019)0.119*** (0.003)
Mean of the outcome variable0.6450.8750.2310.6490.6450.8750.2310.649
Observations1,8951,895
Panel-E: Senegal
Log (Cash remittances)0.012*** (0.003)0.001 (0.003)0.005** (0.002)−0.010*** (0.003)0.022 (0.024)0.024 (0.021)−0.021 (0.020)0.021 (0.024)
Mean of the outcome variable0.6720.8250.0960.7340.6720.8250.0960.734
Observations1,7051,705

Notes: This table reports the average marginal effects for probit and IV-probit models. Robust standard errors are presented in parentheses. The variable of interest is the amount of cash remittances received (in log scale) in the last 12 months. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

IV, instrumental variables.

Table 6

Effect of remittances amount on household investment expenditure

OLS2SLS
Human capitalLog (Physical capital expenditure)Log (Social capital expenditure)Human capitalLog (Physical capital expenditure)Log (Social capital expenditure)
Log (Education expenditure)Log (Health expenditure)Log (Education expenditure)Log (Health expenditure)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Log (Cash remittances)0.053* (0.029)0.028 (0.023)0.035 (0.022)0.041* (0.024)1.469** (0.638)0.779* (0.401)0.093 (0.242)0.759* (0.388)
Mean of the outcome variable3.4082.7910.4660.9813.4082.7910.4660.981
Observations1,6031,603
Panel-B: Kenya
Log (Cash remittances)0.023 (0.022)0.025 (0.018)0.044*** (0.015)0.002 (0.017)0.686*** (0.253)0.188 (0.183)0.540*** (0.153)0.624*** (0.204)
Mean of the outcome variable3.1152.7420.6801.5563.1152.7420.6801.556
Observations1,8211,821
Panel-C: Nigeria
Log (Cash remittances)0.070*** (0.019)0.032* (0.017)0.042** (0.017)0.025 (0.019)0.633*** (0.162)−0.498*** (0.144)0.504*** (0.151)−0.522*** (0.162)
Mean of the outcome variable3.9893.3120.9761.7633.9893.3120.9761.763
Observations2,0292,029
Panel-D: Burkina Faso
Log (Cash remittances)0.087*** (0.020)0.033** (0.016)0.007 (0.018)−0.037* (0.021)0.500*** (0.159)0.508*** (0.147)−0.275** (0.127)0.428** (0.169)
Mean of the outcome variable2.3613.3760.8202.4542.3613.3760.8202.454
Observations1,8951,895
Panel-E: Senegal
Log (Cash remittances)0.071*** (0.017)0.023 (0.015)0.025** (0.012)−0.039** (0.019)−0.232 (0.149)0.192 (0.122)−0.111 (0.082)−0.037 (0.150)
Mean of the outcome variable3.1123.8670.4843.7903.1123.8670.4843.790
Observations1,7051,705

Notes:

This table reports OLS and 2SLS estimates. Robust standard errors are presented in parentheses. Outcome variables are capital investment expenditure in US dollars (in log scale) in the past 12 months. The variable of interest is the amount of cash remittances received in US dollars (in log scale) in last 12 months. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

OLS, ordinary linear regression.

Table 7

Effect of remittances on household investment decision conditional on having a migrant

Household with a migrantHousehold with no migrant
Human CapitalPhysical Capital (=1 if yes)Social Capital (=1 if yes)Human CapitalPhysical Capital (=1 if yes)Social Capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Received remittances (=1 if yes)0.143*** (0.014)0.113* (0.064)0.044** (0.018)0.096*** (0.017)0.010 (0.011)−0.014*** (0.002)−0.010 (0.006)−0.005*** (0.001)
Mean of the outcome variable0.7360.7980.1310.3270.6410.7860.1080.276
Mean received remittances0.3560.054
Observations719884
Panel-B: Kenya
Received remittances (=1 if yes)0.246*** (0.052)0.269*** (0.025)0.232*** (0.089)0.311*** (0.013)−0.014*** (0.002)0.008 (0.051)0.013* (0.007)0.013 (0.034)
Mean of the outcome variable0.6100.6920.1530.4360.5660.6490.1190.389
Mean received remittances0.6220.104
Observations1,1581,158
Panel-C: Nigeria
Received remittances (=1 if yes)0.163** (0.067)−0.125*** (0.048)0.242*** (0.050)−0.247*** (0.040)0.047* (0.025)−0.010*** (0.003)0.022*** (0.005)−0.036*** (0.005)
Mean of the outcome variable0.7730.7560.1910.3470.6590.7770.1770.418
Mean received remittances0.5790.151
Observations1,253776
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.206*** (0.048)0.253*** (0.015)−0.216*** (0.056)0.242*** (0.027)0.053** (0.027)0.056 (0.046)−0.062* (0.034)0.057*** (0.011)
Mean of the outcome variable0.6960.8780.2310.6540.5680.8710.2290.641
Mean received remittances0.5420.193
Observations1,142753
Panel-E: Senegal
Received remittances (=1 if yes)−0.006 (0.145)0.069 (0.147)0.184 (0.123)0.318*** (0.052)−0.012 (0.011)0.032*** (0.012)0.007 (0.006)−0.014 (0.009)
Mean of the outcome variable0.7270.8380.1090.7380.5810.8030.0730.728
Mean received remittances0.7450.072
Observations1,065640

Notes: This table reports the average marginal effects for recursive bivariate probit models. Columns 1–4 show estimates for households with a migrant household member and columns 5–8 show estimates for households with no migrant household member. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table 8

Effect of remittances on household investment decision by remittance source

Internal remittancesWithin-Africa remittancesOut-of-Africa remittances
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)
Panel-A: Uganda
Received remittances (=1 if yes)0.011 (0.011)−0.013* (0.008)−0.025 (0.044)0.009 (0.018)0.006 (0.007)0.009 (0.020)0.002 (0.001)−0.002*** (0.000)−0.006*** (0.002)−0.002 (0.009)0.004*** (0.001)0.010*** (0.002)
Mean of the outcome variable0.6770.7900.1150.2910.6610.7910.1110.2850.6610.7880.1140.290
Observations1,4821,3431,365
Panel-B: Kenya
Received remittances (=1 if yes)0.083*** (0.009)0.095*** (0.014)0.061** (0.030)0.073*** (0.007)0.021*** (0.006)0.028*** (0.009)0.005*** (0.002)0.016*** (0.003)0.038 (0.038)0.066 (0.048)0.021*** (0.006)0.009 (0.082)
Mean of the outcome variable0.5810.6540.1370.4090.5720.6480.1120.3930.5730.6570.1140.381
Observations1,3631,1141,259
Panel-C: Nigeria
Received remittances (=1 if yes)0.127*** (0.006)0.073 (0.317)0.071*** (0.014)−0.084*** (0.006)−0.003** (0.001)0.002*** (0.000)0.001 (0.001)0.002 (0.002)0.037** (0.018)0.015 (0.025)0.004 (0.021)0.013 (0.022)
Mean of the outcome variable0.7220.7590.1840.3850.7060.7500.1590.3460.7150.7530.1670.343
Observations1,6461,2241,355
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.082*** (0.018)0.122*** (0.009)−0.095*** (0.013)0.053*** (0.002)0.081*** (0.022)0.114*** (0.009)−0.041*** (0.005)0.051*** (0.004)0.002 (0.005)0.002*** (0.001)0.000** (0.000)0.002 (0.019)
Mean of the outcome variable0.6190.8750.2280.6420.6240.8670.2260.6400.6020.8670.2270.643
Observations1,4451,4581,142
Panel-E: Senegal
Received remittances (=1 if yes)0.052** (0.025)−0.006 (0.022)−0.033 (0.049)0.003 (0.037)0.014 (0.022)−0.001 (0.018)−0.039* (0.024)0.027 (0.035)−0.017 (0.037)0.067 (0.056)0.003 (0.073)0.121*** (0.006)
Mean of the outcome variable0.6360.8130.0830.7400.6220.8100.0910.7360.6480.8150.0920.732
Observations1,1441,0181,234

Notes:

This table reports the average marginal effects for recursive bivariate probit models. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table 9

Substitutability of investments

Invested on physical capital or social capitalInvested on human capital or social capitalInvested on human capital or physical capital
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)
Panel-A: Uganda
Received remittances (=1 if yes)0.022 (0.036)0.074 (0.066)0.018** (0.008)0.032 (0.021)
Mean of the outcome variable0.7690.8720.1240.314
Observations5765761,4801,468
Panel-B: Kenya
Received remittances (=1 if yes)0.064 (0.068)0.022 (0.115)0.108*** (0.026)0.177*** (0.016)
Mean of the outcome variable0.6720.8110.1520.470
Observations8828821,5451,516
Panel-C: Nigeria
Received remittances (=1 if yes)0.177*** (0.033)−0.049* (0.027)0.131*** (0.024)−0.179*** (0.005)
Mean of the outcome variable0.7580.8440.1840.391
Observations9869861,8741,884
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.155*** (0.029)0.197*** (0.018)−0.181*** (0.018)0.147*** (0.017)
Mean of the outcome variable0.6720.9010.2350.661
Observations1,3311,3311,8341,800
Panel-E: Senegal
Received remittances (=1 if yes)0.011 (0.066)−0.006 (0.052)0.018 (0.058)0.208*** (0.023)
Mean of the outcome variable0.6780.8530.0990.748
Observations1,2821,2821,6511,584

Notes: This table reports the average marginal effects for recursive bivariate probit models. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban. Estimates of columns 1 and 2 are conditional on households investing on physical or social capital. Similarly, estimates of column 3 are conditional on households investing on human or social capital. Finally, column 4 is conditional human or physical capital investment.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table 10

Mechanisms of the effect

Income effectLabor substitutionMigration expectation
Above median consumption expenditure (=1 if yes)Own radio (=1 if yes)Own mobile phone (=1 if yes)Proportion of adult household member workingProportion of children aged 6–15 workingProportion of children aged 6–15 in school
(1)(2)(3)(4)(5)(6)
Panel-A: Uganda
Received remittances (=1 if yes)0.045*** (0.003)−0.013 (0.021)0.006 (0.020)−0.234 (0.266)−0.094 (0.237)0.305 (0.464)
Mean of the outcome variable0.3030.7780.5690.6760.0800.871
Observations1,6031,6031,6031,603963963
Panel-B: Kenya
Received remittances (=1 if yes)0.154*** (0.011)0.136*** (0.051)0.001 (0.069)−0.298*** (0.105)0.058 (0.039)0.308 (0.930)
Mean of the outcome variable0.2530.8480.8010.5410.0040.832
Observations1,8211,8211,8211,821901901
Panel-C: Nigeria
Received remittances (=1 if yes)0.070*** (0.024)0.196*** (0.016)0.171*** (0.011)0.665*** (0.172)−0.073 (0.057)0.984*** (0.274)
Mean of the outcome variable0.3390.8760.57830.5950.0310.705
Observations2,0302,0302,0302,0301,2451,245
Panel-D: Burkina Faso
Received remittances (=1 if yes)−0.132** (0.062)0.149*** (0.044)0.104*** (0.030)0.278*** (0.094)−1.001*** (0.221)0.802*** (0.205)
Mean of the outcome variable0.3220.0620.4030.7640.4120.452
Observations1,8951,8951,8951,8951,6331,633
Panel-E: Senegal
Received remittances (=1 if yes)0.179*** (0.009)0.110** (0.045)0.117* (0.064)−0.205* (0.117)0.342 (0.247)−0.606* (0.353)
Mean of the outcome variable0.6780.8230.8500.5410.2940.684
Observations1,7051,7051,7051,7051,2961,296

Notes: Columns 1–3 report the average marginal effects for recursive bivariate probit models and columns 4–6 report the estimates of 2SLS regression. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table A1

Correlation of treatment and outcome variables

Received remittances (=1 if yes)Log (cash remittances)Education (=1 if yes)Health (=1 if yes)Physical capital (=1 if yes)Social capital (=1 if yes)Log (education expenditure)Log (health expenditure)Log (physical capital expenditure)Log (social capital expenditure)
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)
Panel-A: Uganda
Received remittances (=1 if yes)1
Log (cash remittances)0.9431
Education (=1 if yes)0.1200.1081
Health (=1 if yes)0.0170.0150.1201
Physical capital (=1 if yes)0.0490.0470.0880.0501
Social capital (=1 if yes)0.0740.0680.1130.1670.1531
Log (education expenditure)0.1610.1710.8650.1410.0820.1291
Log (health expenditure)0.1120.1220.1750.7970.0850.1880.2821
Log (physical capital expenditure)0.0870.0940.0910.0390.8780.1310.1230.1201
Log (social capital expenditure)0.1020.1140.1430.1420.1750.8870.2060.2320.1901
Panel-B: Kenya
Received remittances (=1 if yes)1
Log (cash remittances)0.9371
Education (=1 if yes)0.0560.0471
Health (=1 if yes)0.080.0780.2251
Physical capital (=1 if yes)0.0990.090.1060.0541
Social capital (=1 if yes)0.0650.0440.1380.2970.0931
Log (education expenditure)0.0720.1010.8810.2040.060.1061
Log (health expenditure)0.1140.1580.2030.8120.0470.2290.2661
Log (physical capital expenditure)0.0980.1140.0950.0480.9180.070.0780.0641
Log (social capital expenditure)0.0760.0850.1470.2730.080.8650.1580.3040.0821
Panel-C: Nigeria
Received remittances (=1 if yes)1
Log (cash remittances)0.9411
Education (=1 if yes)0.0660.0851
Health (=1 if yes)0.0310.0190.1261
Physical capital (=1 if yes)0.0760.068−0.0110.0021
Social capital (=1 if yes)0.0560.0310.0760.2660.0211
Log (education expenditure)0.1290.1830.8750.0810.0060.0351
Log (health expenditure)0.1020.1180.1220.8450.0310.2720.1571
Log (physical capital expenditure)0.0810.090.0010.0140.9230.0380.0440.0561
Log (social capital expenditure)0.0740.0690.0510.2250.0440.920.0550.2740.0741
Panel-D: Burkina Faso
Received remittances (=1 if yes)1
Log (cash remittances)0.9281
Education (=1 if yes)0.1170.1231
Health (=1 if yes)0.030.0480.0881
Physical capital (=1 if yes)0.0120.0090.0260.0471
Social capital (=1 if yes)0.0210.0150.0980.1280.1371
Log (education expenditure)0.1260.1540.8610.1050.0530.0851
Log (health expenditure)0.0380.0910.1160.760.0590.1350.2021
Log (physical capital expenditure)0.0280.0330.0550.0620.9390.1340.0960.1061
Log (social capital expenditure)−0.0190.0020.1350.1310.1580.8770.1660.2250.1821
Panel-E: Senegal
Received remittances (=1 if yes)1
Log (cash remittances)0.9611
Education (=1 if yes)0.1480.1541
Health (=1 if yes)0.0580.0750.0961
Physical capital (=1 if yes)0.0470.045−0.0020.0291
Social capital (=1 if yes)−0.003−0.0160.0270.1150.061
Log (education expenditure)0.1570.1780.920.0820.0050.0081
Log (health expenditure)0.1060.1450.1140.860.0150.0960.1461
Log (physical capital expenditure)0.0560.0580.0040.0280.9710.0560.0180.0231
Log (social capital expenditure)0.0310.0380.0740.1560.0330.9160.0870.1960.0351

[i] Notes: Number of observations in Panel-A, 1,603; in Panel-B, 1,821; in Panel-C, 2,030; in Panel-D, 1,895; and in Panel-E, 1,705.

Table A2

Descriptive statistics by sources of remittances

UgandaKenyaNigeriaBurkina FasoSenegal
InternalAfricanOut-of-AfricaInternalAfricanOut-of-AfricaInternalAfricanOut-of-AfricaInternalAfricanOut-of-AfricaInternalAfricanOut-of-Africa
(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)
Log (cash remittances)4.621 (1.402)5.534 (1.624)6.686 (1.407)5.097 (1.457)6.232 (1.682)7.013 (1.428)5.458 (1.586)6.262 (1.11)7.069 (1.441)3.844 (1.218)4.427 (1.255)5.51 (1.435)6.13 (1.208)6.293 (1.33)7.295 (1.319)
Log (education expenditure)4.187 (2.393)4.525 (2.616)4.469 (3.011)3.003 (2.745)3.078 (3.02)3.511 (3.18)4.153 (2.73)4.128 (2.611)5.152 (2.861)2.545 (2.049)2.587 (1.933)3.738 (1.667)3.202 (2.095)3.221 (2.184)3.793 (2.38)
Log (health expenditure)3.116 (1.88)3.405 (1.813)3.361 (2.197)2.465 (2.03)2.845 (2.243)3.442 (2.621)3.433 (2.155)3.128 (2.476)3.795 (2.435)3.479 (1.582)3.329 (1.673)4.057 (2.177)3.851 (1.968)3.825 (1.935)4.328 (2.129)
Log (physical capital expenditure)0.675 (1.856)0.406 (1.27)0.898 (2.188)0.994 (2.1)0.745 (2.077)0.701 (1.904)1.259 (2.409)0.677 (1.958)1.291 (2.61)0.876 (1.677)0.785 (1.547)1.129 (2.027)0.402 (1.369)0.722 (1.804)0.639 (1.82)
Log (social capital expenditure)1.184 (1.768)1.326 (1.943)1.812 (2.239)1.571 (1.952)1.643 (2.252)1.416 (2.227)2.154 (2.516)0.952 (2.238)1.528 (2.534)2.329 (1.991)2.329 (2.045)4.046 (2.051)3.762 (2.401)3.675 (2.395)4.023 (2.664)
Observations1834466331822274593716831432711278152368

[i] Notes: This table presents the mean and standard deviation of the key variables. Standard deviations are presented in parentheses.

Table A3

Effect of remittances on household investment decision

ProbitRecursive biprobit
Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)Human capitalPhysical capital (=1 if yes)Social capital (=1 if yes)
Education (=1 if yes)Health (=1 if yes)Education (=1 if yes)Health (=1 if yes)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Received remittances (=1 if yes)0.198* (0.114)−0.058 (0.097)0.137 (0.106)0.157* (0.088)0.478 (0.489)0.047 (1.021)0.730 (0.881)0.572 (0.452)
Mean of the outcome variable0.6840.7920.1190.2990.6840.7920.1190.299
Observations1,6031,603
Panel-B: Kenya
Received remittances (=1 if yes)0.067 (0.070)0.043 (0.068)0.259*** (0.080)0.041 (0.065)1.311*** (0.125)1.414*** (0.102)1.447*** (0.251)1.332*** (0.095)
Mean of the outcome variable0.5940.6760.1410.4180.5940.6760.1410.418
Observations1,8211,821
Panel-C: Nigeria
Received remittances (=1 if yes)0.174** (0.068)0.070 (0.068)0.186*** (0.070)0.116* (0.062)1.205*** (0.137)−0.632* (0.337)1.416*** (0.183)−1.251*** (0.073)
Mean of the outcome variable0.7290.7640.1850.3740.7290.7640.1850.374
Observations2,0292,029
Panel-D: Burkina Faso
Received remittances (=1 if yes)0.282*** (0.065)0.080 (0.080)0.000 (0.067)0.032 (0.063)1.149*** (0.221)1.316*** (0.125)−1.178*** (0.207)1.401*** (0.055)
Mean of the outcome variable0.6450.8750.2310.6490.6450.8750.2310.649
Observations1,8951,895
Panel-E: Senegal
Received remittances (=1 if yes)0.262*** (0.071)−0.008 (0.081)0.192** (0.094)−0.150** (0.071)1.204*** (0.383)0.270 (0.417)0.198 (0.760)1.202*** (0.140)
Mean of the outcome variable0.6720.8250.0960.7340.6720.8250.0960.734
Observations1,7051,705

Notes: This table reports the coefficients of our probit and recursive bivariate probit models. Robust standard errors are presented in parentheses. The variable of interest, received remittances, is an indicator that takes one if a household received remittances, and zero otherwise. Outcome variables are also indicator variables that equal one if a household made capital investment, and zero otherwise. Control variables are female household head, head is a paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Table A4

Non-linear effect of remittances amount on household investment expenditure

2SLS2SLS
Human capitalLog (Physical capital expenditure)Log (Social capital expenditure)Human capitalLog (Physical capital expenditure)Log (Social capital expenditure)
Log (Education expenditure)Log (Health expenditure)Log (Education expenditure)Log (Health expenditure)
(1)(2)(3)(4)(5)(6)(7)(8)
Panel-A: Uganda
Log (Cash remittances)6.938 (4.588)0.530 (2.355)−3.109 (2.093)−3.317 (3.466)3.916 (2.970)2.155 (1.729)0.177 (0.699)1.956 (1.604)
Log (Cash remittances) squared−0.986 (0.809)0.045 (0.408)0.577 (0.366)0.735 (0.620)
Log (Cash remittances) × High remittance−2.933 (2.719)−1.214 (1.656)0.205 (0.824)−1.627 (1.560)
Observations1,6031,603
Panel-B: Kenya
Log (Cash remittances)0.867 (1.595)1.584 (1.356)0.904 (1.005)3.852* (2.028)0.996* (0.527)−0.057 (0.315)0.507* (0.262)0.311 (0.283)
Log (Cash remittances) squared−0.032 (0.281)−0.248 (0.240)−0.065 (0.177)−0.573 (0.358)
Log (Cash remittances) × High remittance−0.931 (0.584)0.001 (0.416)0.470 (0.466)−0.707* (0.426)
Observations1,8211,821
Panel-C: Nigeria
Log (Cash remittances)6.736 (4.127)0.171 (1.493)6.679* (4.012)4.603 (2.884)0.787*** (0.203)−0.579*** (0.178)0.517*** (0.181)−0.596*** (0.197)
Log (Cash remittances) squared−0.821 (0.540)−0.090 (0.197)−0.831 (0.525)−0.689* (0.383)
Log (Cash remittances) × High remittance−0.162 (1.672)−1.911 (2.561)3.061 (3.495)−2.348 (2.895)
Observations2,0292,029
Panel-D: Burkina Faso
Log (Cash remittances)−1.690 (2.917)−3.570 (4.115)2.952 (3.347)3.977 (3.135)0.588*** (0.212)0.517*** (0.182)−0.248 (0.153)0.573*** (0.215)
Log (Cash remittances) squared0.463 (0.614)0.863 (0.863)−0.682 (0.704)−0.751 (0.662)
Log (Cash remittances) × High remittance2.096 (2.325)0.060 (1.659)0.565 (1.551)0.300 (1.624)
Observations1,8951,895
Panel-E: Senegal
Log (Cash remittances)2.999 (2.592)−1.285 (1.823)−5.129 (3.366)−7.571 (4.902)−0.753 (0.525)0.428 (0.335)−0.293 (0.239)−0.112 (0.369)
Log (Cash remittances) squared−0.415 (0.348)0.190 (0.244)0.645 (0.448)0.969 (0.655)
Log (Cash remittances) × High remittance8.061 (6.029)−3.989 (3.602)2.626 (2.747)1.752 (4.266)
Observations1,7051,705

Notes: This table reports 2SLS estimates. Robust standard errors are presented in parentheses. Outcome variables are capital investment expenditure in US dollar (in log scale) in past 12 months. The variable of interest is amount of cash remittances received in US dollar (in log scale) in last 12 months. Columns 1–4 includes amount of cash remittances received in US dollar (in log scale) squared. Columns 5–8 includes an indicator of high remittance (above district-level average remittances) and an interaction between cash remittances received (in log scale) and high remittances. Control variables are female household head, head is paid employee, head is self-employed, head has secondary education, head has above secondary education, head's age is 45–60 years, head's age is >60 years, log household income, number of children in the household, number of elderly in the household, and location is urban.

*** p < 0.01,

** p < 0.05,

* p < 0.10.

Language: English
Accepted on: Mar 11, 2022
Published online: Apr 19, 2022
Published in print: Jan 1, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
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© 2022 Md Shahadath Hossain, Adesola Sunmoni, published by Sciendo
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