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    Home / Central Data Catalog / KEN_2016-2018_MTF_V02_M / variable [F9]
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Multi-Tier Energy Access Tracking Framework Global Survey 2016-2018

Kenya, 2016 - 2018
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Reference ID
KEN_2016-2018_MTF_v02_M
Producer(s)
Energy Sector Management Assistance Program (ESMAP)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
20305
Downloads
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  • Study Description
  • Data Dictionary
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  • Data files
  • MTF_HH_Battery_Data_Final.dta
  • MTF_HH_Cooking_Data_Final.dta
  • MTF_HH_Core_Survey_Final_Data_trimmed-2.dta
  • MTF_HH_Roster.dta
  • MTF_HH_Sec.M1_Asset_Data_Final.dta
  • MTF_HH_Sec.M2_Asset_Data_Final.dta
  • MTF_HH_Sec.M3_Asset_Data_Final.dta
  • MTF_HH_Solar_Roster.dta
  • MTF_section_i_to_k.dta
  • weight.dta

K.7c Other (k_k_charcstove_7other)

Data file: MTF_section_i_to_k.dta

Overview

Valid: 4553
Invalid: -
Type: Discrete
Start: 379
End: 421
Width: 43
Range: -
Format: character

Questions and instructions

Question pretext
The respondent should be the household member who most frequently cooks food for the household, as identified in A.12 OR the household member who decides to purchase the cookstove in I.32
For each household, determine whether the primary fuel is wood (or crop residues), charcoal, or neither (based on responses in Section H). Then randomly assign one of the four following Improved cookstoves:

Charcoal users:
SCODE JikoStar (current retail price 950/1,050 KSh)
Jikokoa (current retail price 3,990 KSh)
Wood users:
SCODE Kuni Mbili or Upesi (current retail price 1,150/1,250 KSh)
EnviroFit SuperSaver GL Wood (current retail price 4,120 KSh)
Literal question
Why would you not accept the offer?
Other, specify.
Categories
Value Category Cases
4545
99.8%
Am comfortable with the one I have 1
0%
am satisfied with the present one 1
0%
Can get the same cookstove at cheaper price 1
0%
Got a similar functional stove 1
0%
I already have it 1
0%
It's a waste to buy yet am alone 1
0%
Not really appealing 1
0%
The kind of stove would not applied here 1
0%
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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