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    Home / Central Data Catalog / GMB_2019-2020_RIME_V01_M / variable [F8]
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Reducing Irregular Migration Experiment and Replication Files

Gambia, 2019 - 2021
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Reference ID
GMB_2019-2020_RIME_v01_M
Producer(s)
David McKenzie, Tijan Bah, Catia Batista, Flore Gubert
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Aug 09, 2023
Last modified
Aug 09, 2023
Page views
53345
Downloads
926
  • Study Description
  • Data Dictionary
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  • Data files
  • baselinedata_ano.dta
  • comments_ano.dta
  • GMB_2MC_BASELINE_SURVEY_OFFICIAL_ano.dta
  • GMB_2MC_ELDER_ENDLINE_SURVEY_OFFICIAL-youth_elder_ano.dta
  • GMB_2MC_ELDER_ENDLINE_SURVEY_OFFICIAL-youth_random_ano.dta
  • GMB_2MC_HOUSEHOLD_ENDLINE_SURVEY_OFFICIAL_ano.dta
  • GMB_2MC_HOUSEHOLD_ENDLINE_SURVEY_OFFICIAL-rp_move_ano.dta
  • GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL_ano.dta
  • GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL_POST_ano.dta
  • GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL-move_rr_ano.dta
  • Post_face_to_face_Phone_Survey_ano.dta
  • Post_face_to_face_Phone_Survey_num_move_ano.dta
  • Post_Face-to-Face_Second_Round_num_moves_ano.dta
  • Post_Face-to-Face_Second_Round_Phone_Survey_ano.dta
  • Send SMS Europe
    Wages_ano.dta
  • villagelevelcontrols_ano.dta
  • WhatsApp.dta
  • completedata.dta
  • FrontexandExpectationData.dta
  • Table2_pvals.dta
  • Table3_pvals.dta
  • Table4a_pvals.dta
  • Table4b_pvals.dta
  • Table6_pvals.dta

B33_3: How many liters of cooking oil? (b33_3)

Data file: GMB_2MC_YOUTH_ENDLINE_SURVEY_OFFICIAL_ano.dta

Overview

Valid: 1810
Invalid: 1018
Minimum: 0.5
Maximum: 120
Type: Discrete
Decimal: 0
Start: 817
End: 819
Width: 3
Range: 0.5 - 120
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0.5 8
0.4%
1 114
6.3%
1.5 7
0.4%
2 47
2.6%
3 1
0.1%
4 4
0.2%
5 92
5.1%
10 640
35.4%
15 1
0.1%
20 789
43.6%
25 6
0.3%
30 41
2.3%
40 43
2.4%
45 1
0.1%
50 4
0.2%
60 9
0.5%
75 1
0.1%
80 1
0.1%
120 1
0.1%
Sysmiss 1018
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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