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Do international remittances promote poverty alleviation? Evidence from low- and middle-income countries Cover

Do international remittances promote poverty alleviation? Evidence from low- and middle-income countries

Open Access
|May 2022

Figures & Tables

The effect of international remittances on poverty

Model(1)(2)(3)(4)(5)(6)(7)(8)(9)

OLSOLSOLSFEFEFEIV + FEIV + FEIV + FE
DVP0−1.9P1−1.9P1−3.2P0−1.9P1−1.9P1−3.2P0−1.9P1−1.9P1−3.2
R−0.950*** (0.052)−0.362*** (0.020)−0.673*** (0.039)−0.575*** (0.156)−0.139*** (0.037)−0.430*** (0.118)−1.012*** (0.196)−0.475*** (0.100)−0.665*** (0.144)
log_IC−19.677*** (0.773)−7.485*** (0.406)−14.974*** (0.507)−12.789*** (1.334)−3.558*** (0.559)−10.919*** (0.950)−11.245*** (1.578)−2.372** (0.896)−10.090*** (1.031)
GN0.297*** (0.049)0.177*** (0.033)0.213*** (0.030)0.503*** (0.084)0.355*** (0.056)0.407*** (0.067)0.497*** (0.111)0.350*** (0.080)0.404*** (0.084)
INF0.009 (0.027)0.029** (0.012)0.009 (0.023)0.012 (0.026)−0.004 (0.015)0.008 (0.022)0.052 (0.032)0.026 (0.019)0.029 (0.024)
Observations345345345345345345336336336
Adjusted R20.8140.7290.8350.5350.4000.6090.3620.0560.490
Hausman (γ) 6.43 (0.000) ***15.32 (0.000) ***6.70 (0.000) ***
F-test of excluded instruments 30.850 (0.000) ***30.850 (0.000) ***30.850 (0.000) ***
Kleibergen–Paap LM Test 11.820 (0.003) ***11.820 (0.003) ***11.820 (0.003) ***
Hansen J test 2.176 (0.140)0.075 (0.785)1.625 (0.202)
Endogeneity test 4.347 (0.037)**9.311 (0.002) ***2.779 (0.096) *

The effect of international remittances on poverty by controlling for political variable for Models 7–9 in Table 1

Model(7)(8)(9)

IV + FEIV + FEIV + FE

DVP0−1.9P1−1.9P1−3.2
R−1.005*** (0.206)−0.471*** (0.104)−0.661*** (0.153)
log_IC−10.864*** (1.543)−2.244** (0.908)−9.844*** (1.012)
GN0.499*** (0.116)0.350*** (0.082)0.405*** (0.087)
INF0.040 (0.033)0.022 (0.020)0.022 (0.025)
POL−1.489** (0.589)−0.490 (0.351)−0.954** (0.359)
Observations333333333
Adjusted R20.3770.0640.500
F-test of excluded instruments29.79 (0.000) ***29.79 (0.000) ***29.79 (0.000) ***
Kleibergen–Paap LM test11.330 (0.004) ***11.330 (0.004) ***11.330 (0.004) ***
Hansen J test0.757 (0.384)0.004 (0.949)0.689 (0.406)
Endogeneity test5.735 (0.017) **9.351 (0.002) ***3.361 (0.067) *

Results from one-step SGMM estimation

Models(1)(2)(3)(4)(5)(6)

One-step SGMMOne-step SGMMOne-step SGMMOne-step SGMMOne-step SGMMOne-step SGMM

DVP0−1.9P1−1.9P1−3.2P1−1.9P1−1.9P1−3.2
L1.P0−1.90.699*** (0.161) 0.697*** (0.171)
L1.P1−1.9 0.567*** (0.100) 0.589*** (0.112)
L1.P1−3.2 0.707*** (0.150) 0.707*** (0.164)
R−0.374* (0.191)−0.064 (0.066)−0.308* (0.150)−0.386** (0.180)−0.080 (0.057)−0.324** (0.147)
L1.R−0.123 (0.129)−0.015 (0.041)−0.064 (0.099)−0.124 (0.130)−0.018 (0.043)−0.062 (0.102)
log_IC−4.068* (2.025)−1.122** (0.537)−4.028* (2.084)−4.196** (1.772)−1.245** (0.551)−4.250** (1.972)
GN0.049 (0.051)0.046** (0.022)0.027 (0.043)0.048 (0.057)0.042** (0.020)0.026 (0.048)
INF0.014 (0.023)0.005 (0.005)0.004 (0.024)0.015 (0.025)0.007 (0.006)0.005 (0.026)
POL −0.076 (0.606)−0.046 (0.179)0.015 (0.596)
AR (2)0.61 (0.545)0.60 (0.546)0.27 (0.789)0.64 (0.523)0.60 (0.546)0.31 (0.757)
Hansen J test4.91 (0.672)4.09 (0.770)5.02 (0.658)3.15 (0.871)2.32 (0.940)3.99 (0.781)
Difference-in-Hansen test1.36 (0.851)4.27 (0.370)1.79 (0.775)2.99 (0.560)4.98 (0.290)4.28 (0.370)
Instruments272727282828
Observations209209209209209209

First-stage regression results for Models 7–9

Models(1)(2)(3)(4)

DV R
Excluded instruments
TOP0.102*** (0.018)0.107*** (0.018)0.107*** (0.018)0.100*** (0.016)
log_EX0.126 (0.483)0.245 (0.497)0.226 (0.470)0.893 (0.214)
Included exogenous variables
log_IC4.182** (1.985)4.021** (1.979)4.173** (1.752)
GN−0.021 (0.049)−0.022 (0.049)
INF0.025 (0.027)
Observations336336336336

List of countries

CountriesYearsCountriesYearsCountriesYears
Albania2008, 2012Gambia2010, 2015Nepal2003, 2010
Armenia2002–2016Georgia2003–2016Nicaragua2005, 2009, 2014
Azerbaijan2005Ghana2012, 2016Niger2005, 2007, 2011, 2014
Bangladesh2005, 2010, 2016Guatemala2006, 2014Nigeria2003, 2009
Belarus2002–2016Honduras2010–2016Pakistan2004–2005, 2007, 2010–2011, 2013, 2015
Benin2003, 2011, 2015India2004, 2009, 2011Peru2008–2015
Bhutan2012Indonesia2002–2014Philippines2003, 2006, 2009, 2012
Bolivia2002, 2004–2009, 2011 2016Iran2005, 2006, 2009, 2013–2016Russian Federation2010–2015
Bosnia and Herzegovina2007, 2011Iraq2012Rwanda2005, 2010, 2013, 2016
Botswana2009, 2015Jamaica2002, 2004Senegal2005, 2011
Brazil2012–2016Jordan2002, 2006, 2008, 2010Serbia2012–2015
Bulgaria2006–2014Kazakhstan2009–2016Sri Lanka2002, 2006, 2009, 2012, 2016
Burkina Faso2003, 2009, 2014Kenya2005, 2015St. Lucia2016
Burundi2013Kyrgyz Re-public2002–2016Tajikistan2009, 2015
Congo, Dem. Rep2012Malawi2004, 2010, 2016Tanzania2007, 2011
Costa Rica2002–2016Malaysia2004, 2007–2008, 2011, 2013, 2015Togo2006, 2011
Cote d’Ivoire2002, 2008, 2015Maldives2009Tunisia2005, 2010, 2015
Dominican Republic2002–2016Mali2006Turkey2005–2016
Ecuador2008–2014Mexico2004–2005, 2006, 2008, 2010, 2012, 2014, 2016Uganda2002, 2005, 2009, 2012, 2016
El Salvador2002–2016Moldova2002–2015Ukraine2002–2008, 2011–2015
Ethiopia2015Morocco2006, 2013Zambia2006, 2010, 2015
Gabon2005Namibia2009, 2015

Descriptions of the variables

VariablesDefinitionsSourceExpected SignMeanStd. Dev.
Dependent variables
P0−1.9The percentage of the population that is living under 1.90 USD per day (constant 2011 USD adjusted for PPP)WDI 11.8017.45
P1−1.9The percentage of mean shortfall in income from 1.90 USD per day (constant 2011 USD adjusted for PPP)WDI 4.067.18
P1−3.2The percentage of mean shortfall in income from 3.20 USD per day (constant 2011 USD adjusted for PPP)WDI 10.1513.01
Explanatory variables
RTotal remittance consisting of personal transfers and compensation of employees as a share of GDP (current USD)IMFNegative (−)7.227.97
Control variables
ICIncome (GDP) per capita (constant 2011 USD adjusted for PPP)WDINegative (−)9,029.946,055.61
GNGini Index varies between 0 (equality) and 1 (inequality)WDIPositive (+)39.328.27
INFPercentage change of consumer price index in annual averageWDIPositive (+)/Negative (−)7.237.27
Instrumental variables
TOPTotal import and export as a share of GDPWDIPositive (+)77.7931.39
EXLCU per USDWDIPositive (+)896.543,430.19
Language: English
Accepted on: Apr 5, 2022
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Published on: May 7, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Prianto Budi Saptono, Gustofan Mahmud, Li-Fen Lei, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.