Who runs the IFIs?



Table 3 Financial crises and IFI disbursements: econometric results

Dependent variable: DISBki/GDPi

Variables____________

________Coefficients (t-stats)

Coefficients (t-stats)_________

D_IMF_AFR

0.29 (12.1)

0.29 (12.1)

D WB AFR

0.87 (26.2)

0.87 (26.6)

D IMF AS

0.11 (5.42)

0.10 (6.1)

DWB AS

0.43 ((15.0)

0.43 (15.9)

D IMF EUR

0.31 (4.3)

0.32 (4.3)

D WB EUR

0.24 (8.5)

0.25 (8.5)

D IMF LA

0.02 (0.5)

0.10 (2.2)

DWB LA

0.32 (12.9)

0.28 (18.1)

D IMF ME

0.05 (3.6)

0.05 (3.6)

D_WB_ME

0.18 (5.6)

0.18 (5.6)

Crisis_IMF

0.47 (13.9)

0.271(4.3)

Crisis_WB

0.097 (5.1)

0.22 (12.1)

Crisis_IMF_90

--

0.268 (4.2)

Crisis_WB_90

--

_____________-0.18 (8.92)_________

Legend

DISBki: disbursements by institution k (k=IMF, WB) to region i

GDPi: GDP in region i

D_IMF_i: regional fixed effects for the IMF (i=AFR,AS,EUR,LA,ME)

D_WB_i: regional fixed effects for the World Bank (i=AFR,AS,EUR,LA,ME)

Crisis: see table 2

Crisis_90: shift in the coefficient for crises during the nineties

t-statistics in parentheses

Table 4 Influential shareholders and IFI lending

Dependent variable: DISBki/GDPi

Variables______

(1)

(2)

(3)

XUS

0.017 (5.2)

0.035 (4.6)

0.06 (8.3)

Xeu

--

0.032 (12.7)

0.03 (9.5)

Xjap

--

-0.022 (6.1)

-0.02 (7.1)

CLAIMSus

23.9 (3.5)

22.2 (4.4)

54.8 (8.7)

CLAIMSeu

--

2.4 (0.8)

28.6 (4.7)1

CLAIMSjap

--

13.8 (3.1)

48.8 (9.1)2

crisis_imf

0.47 (73.7)

0.44 (30.8)

0.41 (31.3)

CRISIS_WB

0.07 (8.4)

0.04 (4.4)

0.01(1.5)

22



More intriguing information

1. THE CHANGING RELATIONSHIP BETWEEN FEDERAL, STATE AND LOCAL GOVERNMENTS
2. The name is absent
3. Can genetic algorithms explain experimental anomalies? An application to common property resources
4. Nonlinear Production, Abatement, Pollution and Materials Balance Reconsidered
5. Hemmnisse für die Vernetzungen von Wissenschaft und Wirtschaft abbauen
6. The Integration Order of Vector Autoregressive Processes
7. The name is absent
8. Education Research Gender, Education and Development - A Partially Annotated and Selective Bibliography
9. Demand Potential for Goat Meat in Southern States: Empirical Evidence from a Multi-State Goat Meat Consumer Survey
10. Picture recognition in animals and humans