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    Home / Central Data Catalog / MICRODATA_RG / WLD_1955-2011_EDAI_V01_M / variable [F7]
microdata_rg

Estimates of Distortions to Agricultural Incentives 1955-2011

Argentina, Australia, Austria...and 76 more, 1955 - 2011
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Reference ID
WLD_1955-2011_EDAI_v01_M
DOI
https://doi.org/10.48529/7kew-g205
Producer(s)
Kym Anderson, Signe Nelgen, Ernesto Valenzuela
Collection(s)
Development Research Microdata Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Apr 01, 2011
Last modified
Oct 26, 2023
Page views
67913
Downloads
8273
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • DAI_2011_Aggregates_0613_5-year_Averages
  • DAI_2011_Aggregates_0613_Yearly_Data
  • UpdatedDistortions_to_AgriculturalIncentives_database_0613_data
  • UpdatedTRI_WRI_Database_0613

ccode (ccode)

Data file: UpdatedTRI_WRI_Database_0613

Overview

Valid: 46566
Invalid: 0
Type: Discrete
Start: 19
End: 21
Width: 3
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ARG 392
0.8%
AUS 1433
3.1%
AUT 896
1.9%
BEL 829
1.8%
BEN 320
0.7%
BFA 333
0.7%
BGD 385
0.8%
BGR 366
0.8%
BRA 616
1.3%
CAN 739
1.6%
CHE 685
1.5%
CHL 456
1%
CHN 669
1.4%
CIV 440
0.9%
CMR 603
1.3%
COL 670
1.4%
CYP 91
0.2%
CZE 340
0.7%
DEU 915
2%
DNK 784
1.7%
DOM 610
1.3%
ECU 669
1.4%
EGY 448
1%
ESP 1020
2.2%
EST 329
0.7%
ETH 488
1%
FIN 672
1.4%
FRA 1026
2.2%
GBR 772
1.7%
GHA 448
1%
GRC 577
1.2%
HUN 409
0.9%
IDN 614
1.3%
IND 777
1.7%
IRL 756
1.6%
ISL 264
0.6%
ISR 316
0.7%
ITA 1037
2.2%
JPN 1137
2.4%
KAZ 238
0.5%
KEN 426
0.9%
KOR 737
1.6%
LKA 443
1%
LTU 359
0.8%
LVA 348
0.7%
MAL 84
0.2%
MAR 290
0.6%
MDG 611
1.3%
MEX 912
2%
MLI 336
0.7%
MOZ 782
1.7%
MYS 277
0.6%
NGA 610
1.3%
NIC 725
1.6%
NLD 812
1.7%
NOR 587
1.3%
NZL 824
1.8%
PAK 389
0.8%
PHL 503
1.1%
POL 369
0.8%
PRT 937
2%
ROM 433
0.9%
RUS 274
0.6%
SDN 723
1.6%
SEN 273
0.6%
SVK 420
0.9%
SVN 252
0.5%
SWE 728
1.6%
TCD 324
0.7%
TGO 336
0.7%
THA 559
1.2%
TUR 730
1.6%
TWN 450
1%
TZA 1042
2.2%
UGA 777
1.7%
UKR 252
0.5%
USA 838
1.8%
VNM 385
0.8%
ZAF 746
1.6%
ZMB 603
1.3%
ZWE 491
1.1%
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.
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