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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F33]
impact_evaluation

Impact Evaluation of the Improvement of Land Governance to Increase Productivity of Small-Scale Farmers on Mailo-Land 2017

Uganda, 2017 - 2018
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Reference ID
UGA_2017_ILGUIE_v01_M
DOI
https://doi.org/10.48529/pg2d-3857
Producer(s)
Daniel Ali Ayalew, Klaus Deininger, Thea Hilhorst
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 03, 2021
Last modified
Mar 03, 2021
Page views
101966
Downloads
3893
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • ASEC1.dta
  • ASEC2A.dta
  • ASEC2B.dta
  • ASEC3A.dta
  • ASEC3A_33.dta
  • ASEC3A_33_a.dta
  • ASEC3B.dta
  • ASEC4A.dta
  • ASEC4A_1.dta
  • ASEC5A.dta
  • ASEC5A_1.dta
  • ASEC5B.dta
  • ASEC6A.dta
  • ASEC6B.dta
  • ASEC6C.dta
  • ASEC7A.dta
  • ASEC7B.dta
  • ASEC8.dta
  • ASEC9.dta
  • ASEC9_Ext.dta
  • ASEC10.dta
  • ASEC11.dta
  • GSEC1.dta
  • GSEC2.dta
  • GSEC3.dta
  • GSEC4.dta
  • GSEC5.dta
  • GSEC6.dta
  • GSEC7a.dta
  • GSEC7b.dta
  • GSEC8.dta
  • GSEC9a.dta
  • GSEC9b.dta
  • GSEC10.dta
  • GSEC11.dta
  • GSEC12.dta
  • GSEC13a.dta
  • GSEC13b.dta
  • GSEC13c.dta
  • GSEC13d.dta
  • GSEC13e_Male.dta
  • GSEC13f_female.dta
  • GSEC14.dta

What is/ was the average expenditure of [BUSINESS] on wages during that month? (N16)

Data file: GSEC9b.dta

Overview

Valid: 148
Invalid: 495
Minimum: 0
Maximum: 2800000
Type: Discrete
Decimal: 0
Start: 609
End: 615
Width: 7
Range: 0 - 2800000
Format: Numeric

Questions and instructions

Literal question
What is/ was the average expenditure of %rostertitle% on wages during that month?
Categories
Value Category Cases
0 7
4.7%
3000 2
1.4%
5000 2
1.4%
7000 1
0.7%
10000 1
0.7%
15000 4
2.7%
20000 7
4.7%
25000 1
0.7%
30000 5
3.4%
40000 4
2.7%
50000 14
9.5%
60000 8
5.4%
70000 2
1.4%
72000 1
0.7%
80000 2
1.4%
90000 2
1.4%
100000 22
14.9%
120000 3
2%
150000 11
7.4%
160000 1
0.7%
180000 2
1.4%
200000 10
6.8%
210000 3
2%
240000 1
0.7%
250000 1
0.7%
260000 2
1.4%
300000 9
6.1%
400000 7
4.7%
420000 1
0.7%
450000 1
0.7%
500000 2
1.4%
600000 1
0.7%
1000000 1
0.7%
1100000 1
0.7%
1200000 1
0.7%
1260000 1
0.7%
1500000 2
1.4%
2500000 1
0.7%
2800000 1
0.7%
Sysmiss 495
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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