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Diaspora Externalities Cover

Figures & Tables

Table 1

The effect of migration on loans for developed versus developing countries

Dependent variableslog(Loans) (1)Loans (2)
log migrationij0.100**0.125***
(0.047)(0.038)
log migrationij * (non-developed country)j0.0580.145***
(0.042)(0.038)
log Distanceij-0.744***-0.265***
(0.110)(0.050)
Obs.1,4511,588
Obs. with developed borrowing countries427431
No. of lending countries1717
No. of borrowing countries158158
R20.860.94
EstimatorOLSPoisson

[i] Notes: This table estimates the effect of migration on loans with interaction with non-developed countries. N, L, and B denote the number of observations, number of lending (investing) countries, and number of borrowing (issuing) countries, respectively. Regressions are estimated by OLS and Poisson.

Standard errors are clustered at the borrowing country level. All columns include country fixed effects, colonial link, language, and legal origin as additional controls.

Source: Kugler et al. (2018).

Table 2

The effect of South-South migration on exports

Panel A: extensiveOLSIV
margin(1)(2)(3)(4)(5)
Immigrants0.00300.00240.0080
(0.001}***(0.001)**(0.003)**
Emigrants0.00220.00110.0070
(0.001)***(0.001)*(0.003)**
Total FDI-0.0001-0.0001-0.0001-0.0003-0.0003
(0.000)(0.000)(0.000)(0.000)(0.000)*
Total trade-0.0005-0.0004-0.0005-0.0011-0.0003
(0.000)(0.000)(0.000)(0.000)**(0.000)**
Product imports-0.0008-0.0008-0.0008-0.0009-0.0008
(0.000)*(0.000)*(0.000)*(0.000)*(0.000)*
N8323083230832308323083230
R20.150.150.150.140.14
KP F Stat89.6172.78
Panel B: intensive margin
OLSIV
(1)(2)(3)(4)(5)
Immigrants0.00580.00300.0101
(0.001)***(0.001)***(0.003)***
Emigrants0.00820.00670.0107
(0.001)***(0.001)***(0.003)***
Total FDI-0.0011-0.0011-0.0012-0.0013-0.0012
(0.000)***(0.000)***(0.000)***(0.000)***(0.000)***
Total trade0.00260.00230.00180.00160.0017
(0.001)***(0.001)***(0.001)***(0.001)(0.001)*
Baseline exports-0.0453-0.0456-0.0459-0.0460-0.0460
(0.002)***(0.002)***(0.002)***(0.002)***(0.002)***
Product imports0.00380.00390.00390.00390.0040
(0.001)***(0.001)***(0.001)***(0.001)***(0.001)***
Previous exports-0.0045-0.0045-0.0044-0.0043-0.0045
growth(0.001)***(0.001)***(0.001)***(0.001)***(0.001)***
Zero exports in t-1-0.0884-0.0879-0.0881-0.0886-0.0879
(0.007)***(0.007)***(0.007)***(0.007)***(0.007)***
N9565695656956569565695656
R20.350.350.350.350.35
KP F Stat58.2178.93

[i] *p < 0.10, **p < 0.05, ***p < 0.01.

Notes: Standard errors clustered at the partner country level reported in parenthesis.

Source: Bahar and Rapoport (2018).

Fig. 1

Emigration and political change in Moldova, 1998–2009

Source: Barsbai et al. (2017).

Table 3

East/west migration and general election results in Moldova, July 2009

Share of votes the for Communist Party (%)Share of votes for the opposition parties (%)
Basic controlsPlus pre- migration election resultsPlus night-time light (full model)Liberal Democratic PartyLiberal PartyDemocratic PartyParty Alliance Our Moldova
(1)(2)(3)(4)(5)(6)(7)
Prevalence of-0.70***-0.63***-0.63***0.40***0.24**0.08-0.16
emigration to the west (%)(0.20)(0.18)(0.18)(0.13)(0.11)(0.12)(0.15)
Prevalence of0.44**0.39**0.39**-0.07-0.17**-0.07-0.01
emigration to the east (%)(0.17)(0.16)(0.16)(0.09)(0.07)(0.08)(0.11)
Basic controlsyesYesYesyesyesyesyes
Pre-election migration results-YesYesyesyesyesyes
Night-time light--Yesyesyesyesyes
District fixed effectsyesyesYesyesyesyesyes
Number of observations848848848848848848848
R20.780.820.820.560.660.420.37

[i] Notes: The table reports OLS estimates for 848 Moldovan communities. The dependent variables are the vote shares of different parties in the July 2009 parliamentary election at the community level (in percent). Table A3 in the appendix shows the full regression results. Standard errors clustered at the district level in parentheses. *** denotes statistical significance at the 1% level, ** at the 5% level, and * at the 10% level.

Source: Barsbai et al. (2017).

Table 4

Bilateral migration and cultural convergence by development status

North-NorthSouth-NorthSouth-South
EuclideanHerfindahlCanberraEuclideanHerfindahlCanberraEuclideanHerfindahlCanberra
(1)(2)(3)(4)(5)(6)(7)(8)(9)
Migration-0.00334-0.0564*-0.209***0.0541***0.0367***0.0616***0.01110.01210.0129
(0.0384)(0.0316)(0.0595)(0.0151)(0.0124)(0.0192)(0.0146)(0.0112)(0.0162)
Trade0.04840.004820.06600.0120-0.0199-0.0394-0.0392*-0.02200.00725
(0.0971)(0.0798)(0.150)(0.0256)(0.0210)(0.0326)(0.0228)(0.0175)(0.0252)
Constant-0.3601.4124.312-0.540-0.1450.05730.909**0.324-0.0141
(2.159)(1.774)(3.345)(0.521)(0.428)(0.662)(0.448)(0.344)(0.496)
Observations7027027023,1083,1083,1083,1733,1733,173
R20.9530.9910.9440.9830.9820.9660.9580.9810.960

[i] Notes: Standard errors in parentheses, *** p<0.01, ** p<0.05, * p<0.1. OLS regression with full set of fixed effects (bilateral fixed effect, destination-year fixed effect, origin-year fixed effect). Sample split into three categories: North-North for bilateral migration between OECD countries (members in 2014). South-South. Source: Rapoport et al. (2017).

Language: English
Published on: Aug 27, 2019
Published by: Sciendo
In partnership with: Paradigm Publishing Services
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© 2019 Hillel Rapoport, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.