Measuring Aid Flows: A New Approach 1975-1995
Angola, Argentina, Armenia...and 158 more, 1975 - 1995
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Reference ID
WLD_1995_MAFNA_v01_M
Producer(s)
David R. Dollar and Craig Burnside
Metadata
Created on
Nov 14, 2011
Last modified
Jun 14, 2022
Page views
62127
Downloads
41
- Data files
-
Average GE on
all BEDA loans
with
disbursements
during each
given year (Avg
BEDA GE) -
Bilateral Debt
forgiveness
used to adjust
bilateral
grants (B
Debtf) -
Bilateral
grants used to
construct BEDA
(B Grants) -
Total
disbursements
on bilateral
EDA loans (BEDA
Disb) -
Bilateral grant
equivalents
used to
construct BEDA
(BEDA GQ) -
Bilateral EDA
(BEDA) -
Memo item,
bilateral
technical
assistance
(Memo BTA) -
Average GE on
all EDA loans
with
disbursements
during each
given year (Avg
EDA GE) -
Bilateral Debt
forgiveness
used to adjust
bilateral
grants (B
Debtf) -
Total
disbursements
on EDA loans
(EDA Disb) -
Grant
equivalents
used to
construct EDA
(EDA GQ) -
Effective
Development
Assistance
(EDA) -
Grants used to
construct EDA -
Memo item,
total technical
assistance
(Memo TA) -
Average GE on
all MEDA loans
with
disbursements
during each
given year (Avg
MEDA GE) -
Multilateral
grants used to
construct MEDA
(M Grants) -
Total
disbursements
on
Multilateral
EDA loans (MEDA
Disb) -
Multilateral
grant
equivalents
used to
construct MEDA
(MEDA GQ) -
Multilateral
Effective
Development
Assistance
(MEDA) -
Memo item,
multilateral
technical
assistance
(Memo MTA)
1978 (V6)
Data file: Total disbursements on Multilateral EDA loans (MEDA Disb)
Overview
Valid:
134
Invalid:
0
Type:
Discrete
Decimal:
2
Range:
0 - 7329.703
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 36 |
26.9%
|
|
| 0.15 | 1 |
0.7%
|
|
| 0.464 | 1 |
0.7%
|
|
| 0.5 | 1 |
0.7%
|
|
| 0.778 | 1 |
0.7%
|
|
| 0.882 | 1 |
0.7%
|
|
| 0.888 | 1 |
0.7%
|
|
| 1.059 | 1 |
0.7%
|
|
| 1.069 | 1 |
0.7%
|
|
| 1.497 | 1 |
0.7%
|
|
| 1.649 | 1 |
0.7%
|
|
| 2.431 | 1 |
0.7%
|
|
| 2.969 | 1 |
0.7%
|
|
| 4.686 | 1 |
0.7%
|
|
| 4.952 | 1 |
0.7%
|
|
| 6.352 | 1 |
0.7%
|
|
| 6.55 | 1 |
0.7%
|
|
| 6.732 | 1 |
0.7%
|
|
| 6.743 | 1 |
0.7%
|
|
| 7.525 | 1 |
0.7%
|
|
| 7.853 | 1 |
0.7%
|
|
| 9.044 | 1 |
0.7%
|
|
| 9.117 | 1 |
0.7%
|
|
| 9.267 | 1 |
0.7%
|
|
| 9.921 | 1 |
0.7%
|
|
| 10.173 | 1 |
0.7%
|
|
| 11.322 | 1 |
0.7%
|
|
| 11.789 | 1 |
0.7%
|
|
| 12.204 | 1 |
0.7%
|
|
| 13.382 | 1 |
0.7%
|
|
| 15.446 | 1 |
0.7%
|
|
| 15.959 | 1 |
0.7%
|
|
| 16.591 | 1 |
0.7%
|
|
| 22.151 | 1 |
0.7%
|
|
| 22.462 | 1 |
0.7%
|
|
| 23.198 | 1 |
0.7%
|
|
| 24.518 | 1 |
0.7%
|
|
| 25.176 | 1 |
0.7%
|
|
| 25.933 | 1 |
0.7%
|
|
| 26.32 | 1 |
0.7%
|
|
| 26.988 | 1 |
0.7%
|
|
| 27.333 | 1 |
0.7%
|
|
| 28.205 | 1 |
0.7%
|
|
| 28.484 | 1 |
0.7%
|
|
| 28.534 | 1 |
0.7%
|
|
| 29.243 | 1 |
0.7%
|
|
| 30.477 | 1 |
0.7%
|
|
| 32.238 | 1 |
0.7%
|
|
| 33.114 | 1 |
0.7%
|
|
| 33.27 | 1 |
0.7%
|
|
| 35.382 | 1 |
0.7%
|
|
| 35.508 | 1 |
0.7%
|
|
| 35.809 | 1 |
0.7%
|
|
| 36.029 | 1 |
0.7%
|
|
| 38.943 | 1 |
0.7%
|
|
| 41.081 | 1 |
0.7%
|
|
| 41.617 | 1 |
0.7%
|
|
| 43.32 | 1 |
0.7%
|
|
| 43.969 | 1 |
0.7%
|
|
| 46.22 | 1 |
0.7%
|
|
| 47.561 | 1 |
0.7%
|
|
| 49.218 | 1 |
0.7%
|
|
| 51.516 | 1 |
0.7%
|
|
| 52.428 | 1 |
0.7%
|
|
| 53.753 | 1 |
0.7%
|
|
| 54.079 | 1 |
0.7%
|
|
| 57.069 | 1 |
0.7%
|
|
| 58.83 | 1 |
0.7%
|
|
| 62.766 | 1 |
0.7%
|
|
| 66.237 | 1 |
0.7%
|
|
| 73.613 | 1 |
0.7%
|
|
| 77.879 | 1 |
0.7%
|
|
| 85.559 | 1 |
0.7%
|
|
| 85.657 | 1 |
0.7%
|
|
| 88.541 | 1 |
0.7%
|
|
| 90.841 | 1 |
0.7%
|
|
| 98.483 | 1 |
0.7%
|
|
| 102.939 | 1 |
0.7%
|
|
| 108.594 | 1 |
0.7%
|
|
| 109.847 | 1 |
0.7%
|
|
| 110.317 | 1 |
0.7%
|
|
| 120.928 | 1 |
0.7%
|
|
| 121.282 | 1 |
0.7%
|
|
| 128.76 | 1 |
0.7%
|
|
| 166.088 | 1 |
0.7%
|
|
| 174.483 | 1 |
0.7%
|
|
| 189.476 | 1 |
0.7%
|
|
| 196.309 | 1 |
0.7%
|
|
| 215.126 | 1 |
0.7%
|
|
| 215.943 | 1 |
0.7%
|
|
| 220.749 | 1 |
0.7%
|
|
| 255.608 | 1 |
0.7%
|
|
| 270.216 | 1 |
0.7%
|
|
| 299.179 | 1 |
0.7%
|
|
| 413.193 | 1 |
0.7%
|
|
| 423.947 | 1 |
0.7%
|
|
| 520.691 | 1 |
0.7%
|
|
| 736.532 | 1 |
0.7%
|
|
| 7329.703 | 1 |
0.7%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.