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    Home / Central Data Catalog / GMB_2019-2020_RIME_V01_M / variable [F3]
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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
59565
Downloads
1029
  • Study Description
  • Data Dictionary
  • Downloads
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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

D5B_2: If you were to move to Europe, what do you think is the most likely occup (d5b_2)

Data file: GMB_2MC_BASELINE_SURVEY_OFFICIAL_ano.dta

Overview

Valid: 2662
Invalid: 1264
Minimum: 1
Maximum: 19
Type: Discrete
Decimal: 0
Start: 4037
End: 4038
Width: 2
Range: 1 - 19
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Student 273
10.3%
2 Farmer in the farmily farm 8
0.3%
3 Salaried farmer 80
3%
4 Domestic/work at home 33
1.2%
5 Domestic servant 80
3%
6 Miner 1
0%
7 Fisherman 11
0.4%
8 Trader 69
2.6%
9 Business owner 405
15.2%
10 Craftsman/handyman (tailor, carpenter, blacksmith) 303
11.4%
11 Religious (paster or imam) 3
0.1%
12 Specialized professional (lawyer, accountant, nurse, engineer) 42
1.6%
13 Construction worker 249
9.4%
14 Teacher 18
0.7%
15 Armed forces/police/security 14
0.5%
16 Civil servant 2
0.1%
17 Other salaried worker 353
13.3%
18 No job 165
6.2%
19 Other 553
20.8%
Sysmiss 1264
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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