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    Home / Central Data Catalog / IMPACT_EVALUATION / RWA_2015-2018_LWHIE_V01_M / variable [F16]
impact_evaluation

Impact, Maintenance, and Sustainability of Irrigation Impact Evaluation Survey 2015-2018, Baseline, First, Second, Third Follow-up

Rwanda, 2015 - 2018
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Reference ID
RWA_2015-2018_LWHIE_v01_M
DOI
https://doi.org/10.48529/899t-y944
Producer(s)
Florence Kondylis, Maria Jones, John Loeser, Jeremy Magruder
Collection(s)
Impact Evaluation Surveys Development Impact Evaluation (DIME)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 27, 2020
Last modified
Mar 03, 2020
Page views
1643753
Downloads
3456
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • bl_hh_modules.dta
  • bl_hh_roster.dta
  • bl_parcel_plot_roster.dta
  • bl_rw_hh_modules.dta
  • bl_rw_hh_roster.dta
  • bl_rw_parcel_plot_roster.dta
  • bl_rw_season_17a.dta
  • bl_rw_season_17b.dta
  • bl_rw_season_17c.dta
  • bl_season_14c.dta
  • bl_season_15a.dta
  • bl_season_15b.dta
  • fup1_hh_modules.dta
  • fup1_hh_roster.dta
  • fup1_parcel_plot_roster.dta
  • fup1_rw_hh_modules.dta
  • fup1_rw_hh_roster.dta
  • fup1_rw_parcel_plot_roster.dta
  • fup1_rw_season_18a.dta
  • fup1_rw_season_18b.dta
  • fup1_rw_season_18c.dta
  • fup1_rw_season_19a.dta
  • fup1_season_16b.dta
  • fup1_season_16c.dta
  • fup1_season_17a.dta
  • fup2_hh_modules.dta
  • fup2_hh_roster.dta
  • fup2_parcel_plot_roster.dta
  • fup2_season_17b.dta
  • fup2_season_17c.dta
  • fup3_hh_modules.dta
  • fup3_hh_roster.dta
  • fup3_parcel_plot_roster.dta
  • fup3_season_18a.dta
  • fup3_season_18b.dta
  • fup3_season_18c.dta
  • fup3_season_19a.dta

CD_6: Portion of loan for ag inputs (cd_6_3)

Data file: fup1_rw_hh_modules.dta

Overview

Valid: 103
Invalid: 544
Minimum: 0
Maximum: 1
Mean: 0.087378640776699
Standard deviation: 0.283770002024729
Type: Discrete
Decimal: 0
Start: 2760
End: 2760
Width: 1
Range: 0 - 1
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No 94
91.3%
1 Yes 9
8.7%
Sysmiss 544
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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