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    Home / Central Data Catalog / DIME / NPL_2016_AFSPIE-ML_V01_M / variable [F3]
dime

Agriculture and Food Security Project Impact Evaluation 2016, Midline Survey

Nepal, 2016
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Reference ID
NPL_2016_AFSPIE-ML_v01_M
DOI
https://doi.org/10.48529/rcvv-5e80
Producer(s)
Paul Christian (Development Impact Evaluation (DIME))
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 05, 2020
Last modified
Jan 20, 2021
Page views
76835
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1.2.2.5a if not why ? (l_2_2_5a)

Data file: microdata

Overview

Valid: 202
Invalid: 0
Type: Discrete
Start: 11295
End: 11301
Width: 7
Range: -
Format: character

Questions and instructions

Literal question
Why?
1 = Drought
2 = Floods
3 = Irregular rains
4 = Crop pests and disease
5 = livestock disease
6 = High food prices
7 = High cost of agricultural inputs
8 = Loss or reduced employment
9 = Illness/ accident of HH member
10 = Death of HH member
11 = Theft of productive resources
12 = Other criminal acts
13 = Erosion / Landslides
14 = Hail
15 = Unavailability of seeds
16 = Not enough land
96 = Other (Specify)
Categories
Value Category Cases
1 46
22.8%
1 11 16 1
0.5%
1 15 16 2
1%
1 16 15
7.4%
1 16 96 1
0.5%
1 3 1
0.5%
1 3 6 1
0.5%
1 4 2
1%
1 4 16 2
1%
1 5 16 1
0.5%
1 6 2
1%
1 7 8 1
0.5%
1 8 4
2%
1 8 16 1
0.5%
1 9 16 1
0.5%
11 1
0.5%
11 96 1
0.5%
14 1
0.5%
15 16 1
0.5%
16 50
24.8%
16 96 2
1%
3 1
0.5%
3 16 1
0.5%
4 1
0.5%
4 5 16 1
0.5%
4 6 3
1.5%
4 6 16 5
2.5%
4 8 15 1
0.5%
5 1
0.5%
6 7
3.5%
6 15 1
0.5%
6 15 16 3
1.5%
6 16 9
4.5%
6 7 16 1
0.5%
6 8 16 1
0.5%
6 9 16 1
0.5%
8 2
1%
8 11 16 1
0.5%
8 16 2
1%
9 6
3%
96 17
8.4%
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.
Interviewer instructions
Record only for months where you put 1 in L.2.2. List up to 3 reasons. If more than 3, ask respondent to choose 3 most important contributing factors.

Others

Notes
"1.2.2.5a If not why ?"
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