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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2006_MTARI_V01_M_PUF / variable [F16]
impact_evaluation

Technology Adoption and Risk Initiative Household Baseline Survey 2006

Malawi, 2006
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Reference ID
MWI_2006_MTARI_v01_M_PUF
DOI
https://doi.org/10.48529/nk99-3y84
Producer(s)
Xavier Gine, Dean Yang
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2013
Last modified
Jul 19, 2017
Page views
59664
Downloads
6567
  • Study Description
  • Data Description
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  • Related citations
  • Data files
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  • blanduc_PUF
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  • bmain_PUF
  • briskresp1_PUF
  • briskresp2_PUF
  • bsavins_PUF
  • _qno

f6 suppose you were to grow cg7/chalimbana 2000....? (f6_cg7)

Data file: bmain_PUF

Overview

Valid: 930
Invalid: 157
Type: Discrete
Decimal: 0
Start: 244
End: 248
Width: 5
Range: 37 - 15000
Format: Numeric

Questions and instructions

Literal question
Suppose you were to grow […] on all the plots that you plan to use for groundnut. Suppose that next season yield of […] are very good. What is the maximum you expect to make?
Categories
Value Category Cases
37 1
0.1%
40 1
0.1%
45 1
0.1%
50 3
0.3%
55 1
0.1%
67.5 1
0.1%
75 1
0.1%
85 3
0.3%
90 4
0.4%
100 1
0.1%
105 1
0.1%
112 1
0.1%
120 2
0.2%
125 1
0.1%
130 1
0.1%
135 3
0.3%
150 18
1.7%
160 5
0.5%
165 1
0.1%
166 1
0.1%
170 5
0.5%
175 2
0.2%
180 7
0.6%
188 1
0.1%
195 1
0.1%
200 30
2.8%
216 3
0.3%
225 7
0.6%
247.5 1
0.1%
250 35
3.2%
255 4
0.4%
268 1
0.1%
270 5
0.5%
279 1
0.1%
280 2
0.2%
300 48
4.4%
320 4
0.4%
324 1
0.1%
330 1
0.1%
337 1
0.1%
337.5 3
0.3%
338 1
0.1%
340 7
0.6%
350 22
2%
360 3
0.3%
364 1
0.1%
364.5 1
0.1%
370 2
0.2%
375 2
0.2%
400 52
4.8%
405 6
0.6%
425 2
0.2%
427 2
0.2%
440 1
0.1%
450 28
2.6%
475 1
0.1%
480 1
0.1%
486 1
0.1%
490 1
0.1%
495 1
0.1%
500 65
6%
510 10
0.9%
540 6
0.6%
550 8
0.7%
563 1
0.1%
570 1
0.1%
585 2
0.2%
590 1
0.1%
600 45
4.1%
630 3
0.3%
650 6
0.6%
675 5
0.5%
678 1
0.1%
680 4
0.4%
697.5 1
0.1%
700 20
1.8%
720 3
0.3%
750 18
1.7%
765 1
0.1%
788 3
0.3%
800 36
3.3%
810 3
0.3%
850 5
0.5%
875 1
0.1%
880 1
0.1%
900 30
2.8%
960 1
0.1%
990 2
0.2%
1000 82
7.5%
1012 1
0.1%
1012.5 1
0.1%
1020 5
0.5%
1030 1
0.1%
1050 2
0.2%
1080 3
0.3%
1100 1
0.1%
1120 1
0.1%
1125 2
0.2%
1150 2
0.2%
1170 1
0.1%
1200 17
1.6%
1215 1
0.1%
1250 3
0.3%
1300 2
0.2%
1350 6
0.6%
1375 1
0.1%
1400 4
0.4%
1500 30
2.8%
1600 5
0.5%
1620 2
0.2%
1687.5 1
0.1%
1700 5
0.5%
1750 3
0.3%
1800 12
1.1%
1900 1
0.1%
2000 22
2%
2040 2
0.2%
2050 1
0.1%
2160 1
0.1%
2250 3
0.3%
2300 1
0.1%
2500 13
1.2%
2700 1
0.1%
2880 1
0.1%
2925 1
0.1%
3000 10
0.9%
3200 1
0.1%
3250 2
0.2%
3375 1
0.1%
3400 1
0.1%
3500 3
0.3%
3600 2
0.2%
3800 1
0.1%
4000 7
0.6%
4050 1
0.1%
4500 3
0.3%
4950 1
0.1%
5000 2
0.2%
5600 1
0.1%
5625 1
0.1%
6000 4
0.4%
6075 1
0.1%
6500 1
0.1%
6750 1
0.1%
7500 2
0.2%
7777 dk 0
0%
8000 2
0.2%
10000 4
0.4%
10125 1
0.1%
11000 1
0.1%
12500 1
0.1%
14400 1
0.1%
15000 1
0.1%
Sysmiss 157
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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