Migrant Business Networks and FDI



Table 3 - Migrants networks and FDI - Italy

Dependent variable:

______Outward FDI_____

________________________________Inward FDI________________________________

Static models

Dynamic model

Static models

Dynamic model

Explanatory variables

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

Model 7

Model 8

Model 9

Model 10

Model 11

Model 12

l_TGDP

1,944 ***

1,194 ***

0,876 ***

0,590 **

1,154***

0,075

2,181 ***

1,550 ***

1,160 ***

0,417

0,693 *

0,210*

(0,271)

(0,207)

(0,249)

(0,275)

(0,306)

(0,086)

(0,263)

(0,237)

(0,298)

(0,319)

(0,362)

(0,118)

l_sq_GDPDIFF

-0,299 ***

0,040

0,004

0,001

-0,044

-0,005

-0,392 ***

-0,150 ***

-0,112 *

-0,082

-0,098

-0,016

(0,060)

(0,049)

(0,053)

(0,053)

(0,052)

(0,014)

(0,060)

(0,057)

(0,064)

(0,062)

(0,063)

(0,019)

l_PCGDPDIFF

-0,028

0,032

0,023

0,011

0,003

-0,005

0,266 ***

0,243 ***

0,270 ***

0,262 ***

0,253 ***

0,015

(0,031)

(0,023)

(0,028)

(0,030)

(0,031)

(0,008)

(0,030)

(0,026)

(0,034)

(0,033)

(0,035)

(0,012)

l_DIST

-0,290 ***

-0,166 **

-0,179 *

-0,253 **

-0,327 ***

-0,058 *

-0,121

-0,011

-0,008

-0,078

-0,123

-0,025

(0,096)

(0,072)

(0,101)

(0,103)

(0,103)

(0,031)

(0,098)

(0,086)

(0,126)

(0,123)

(0,127)

(0,044)

l_OPENNESS

-0,532 ***

0,361 **

-0,038

-0,300

0,023

0,069

-0,324 *

0,296 *

0,130

0,049

0,139

0,019

(0,186)

(0,148)

(0,193)

(0,206)

(0,221)

(0,061)

(0,188)

(0,174)

(0,233)

(0,237)

(0,266)

(0,086)

DUMMYEU15

0,808 ***

1,052 ***

0,909 ***

0,763 ***

0,784 ***

-0,040

0,974 ***

1,173 ***

1,255 ***

0,927 ***

0,969 ***

0,143*

(0,243)

(0,182)

(0,212)

(0,223)

(0,218)

(0,059)

(0,238)

(0,209)

(0,252)

(0,255)

(0,257)

(0,082)

Dummyoecd

-0,028

0,831 ***

1,150 ***

1,304 ***

5,977 ***

0,564

-0,665 **

0,067

0,317

0,281

2,793 *

0,983 *

(0,266)

(0,205)

(0,250)

(0,260)

(1,220)

(0,383)

(0,274)

(0,249)

(0,322)

(0,323)

(1,593)

(0,566)

Chrisshare

0,256

-1,255 ***

-0,823 ***

-0,668 ***

-0,798 ***

0,020

0,211

-0,964 ***

-1,024 ***

-1,061 ***

-1,163 ***

-0,171

(0,255)

(0,209)

(0,245)

(0,253)

(0,246)

(0,072)

(0,258)

(0,251)

(0,306)

(0,301)

(0,311)

(0,106)

GOVERNANCE

0,462 **

-0,387 **

-0,213

-0,261

-0,182

0,015

1,121 ***

0,415 **

0,238

0,182

0,231

0,077

(0,210)

(0,164)

(0,201)

(0,207)

(0,207)

(0,059)

(0,201)

(0,187)

(0,246)

(0,246)

(0,248)

(0,084)

l_EMIGRANTS

0,647 ***

0,520 ***

0,510 ***

0,457 ***

0,474 ***

0,533 ***

(0,036)

(0,044)

(0,046)

(0,042)

(0,053)

(0,053)

LEMIGRANTSJOECD

0,418***

-0,007

0,526 ***

0,048 **

(0,057)

(0,017)

(0,065)

(0,024)

LEMIGRANTSJNONOECD

0,682 ***

0,055 **

0,598 ***

0,043

(0,063)

(0,022)

(0,081)

(0,030)

ljIMMIGRANTS

0,014

0,074

(0,079)

(0,095)

Llowskilledjmmi

-0,081

-0,016

0,032

-0,545 ***

-0,556 ***

0,008

(0,120)

(0,124)

(0,036)

(0,137)

(0,146)

(0,052)

Lskilledjmmi

0,154

0,821 ***

(0,130)

(0,154)

Lskilledjmmloecd

-0,013

0,026

0,711 ***

-0,065

(0,144)

(0,041)

(0,175)

(0,064)

Lskilledjmmlnonoecd

0,373 **

0,020

0,993 ***

0,084

(0,158)

(0,047)

(0,195)

(0,072)

Time dummies

yes

yes

yes

yes

yes

yes

yes

yes

yes

yes

yes

yes

const

-7,657 *

-15,529 ***

-7,430 *

-1,797

-12,708***

-0,801

-13,022***

-16,978 ***

-12,248 ***

-2,416

-7,613

-2,712

(4,263)

(3,218)

(3,856)

(4,267)

(4,894)

(1,350)

(4,124)

(3,623)

(4,511)

(4,802)

(5,808)

(1,843)

Adjusted R2

Number of observations

0,553
423

0,750
423

0,751

274

0,757
266

0,773
266

0,985

225

0,749
398

0,808
398

0,832
261

0,850
254

0,850
254

0,987

215

Notes: *** 1%, ** 5%, * 10% significant level; heteroskedasticity robust standard errors are in the parentheses.

The variable l_PCGDPDIFF is the positive difference (zero otherwise) between the sending and the receiving country.



More intriguing information

1. Rural-Urban Economic Disparities among China’s Elderly
2. Manufacturing Earnings and Cycles: New Evidence
3. The name is absent
4. Deprivation Analysis in Declining Inner City Residential Areas: A Case Study From Izmir, Turkey.
5. ISSUES IN NONMARKET VALUATION AND POLICY APPLICATION: A RETROSPECTIVE GLANCE
6. Short- and long-term experience in pulmonary vein segmental ostial ablation for paroxysmal atrial fibrillation*
7. Learning-by-Exporting? Firm-Level Evidence for UK Manufacturing and Services Sectors
8. EMU: some unanswered questions
9. Global Excess Liquidity and House Prices - A VAR Analysis for OECD Countries
10. Eigentumsrechtliche Dezentralisierung und institutioneller Wettbewerb
11. Population ageing, taxation, pensions and health costs, CHERE Working Paper 2007/10
12. Food Prices and Overweight Patterns in Italy
13. AN ANALYTICAL METHOD TO CALCULATE THE ERGODIC AND DIFFERENCE MATRICES OF THE DISCOUNTED MARKOV DECISION PROCESSES
14. The name is absent
15. Auction Design without Commitment
16. A Note on Costly Sequential Search and Oligopoly Pricing (new title: Truly Costly Sequential Search and Oligopolistic Pricing,)
17. Stakeholder Activism, Managerial Entrenchment, and the Congruence of Interests between Shareholders and Stakeholders
18. Institutions, Social Norms, and Bargaining Power: An Analysis of Individual Leisure Time in Couple Households
19. The name is absent
20. Telecommuting and environmental policy - lessons from the Ecommute program