Women Agribusiness Leaders Network Impact Evaluation 2014

Ethiopia, 2014

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Reference ID

ETH_2014_WALN-BL_v01_M

Producer(s)

M. Mehrab Bin Bakhtiar, Gautam Bastian, Eliana Carranza, Markus Goldstein

Metadata

DDI/XML JSON

Created on

Sep 19, 2018

Last modified

Sep 19, 2018

Page views

31997

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B.3.1.17 How much do you spend per[period]on [input/good toresell]? Amount (b3117_1_1)

Data file: waln_baseline_data

Overview

Valid: 1457

Invalid: 0

Type: Discrete

Start: 3942

End: 3977

Width: 36

Format:

Questions and instructions

Categories

Value	Category
.b
.d
.n
0
0.
1
1.
10
10.
100
100.
1000
1000.
10000
10000.
1000000
10050
1040.
105.
1050.
10500.
108
10800.
110.
1100.
112.
1125
1125.
1128.
115.
1150.
116.
119.
119950.
12
12.
120.
1200
1200.
12000.
120000.
1200000.
125.
1250.
1275.
13.
130.
1300
1300.
13000.
130500.
134.
135.
1350
1350.
13500
137.
14
14.
140
140.
1400
1400.
1408.
144.
1440.
1450.
1455.
1466.
15
15.
150.
1500
1500.
15000
15000.
150000.
15000000.
1530.
1575.
15800.
16
16.
160.
1600.
16000
1608000
1634.
1696.
17.
170.
1700.
17000.
175.
1750
1750.
180.
1800
1800.
18000.
1860.
1870.
1885.
192.
19200.
198.
2
2.
20
20.
200.
2000
2000.
20000
20000.
200000
200000.
2020.
210.
2100.
21000
21000.
216.
21600.
22.
220.
2200.
22000.
2225
225.
2250.
22500.
230.
230000.
240.
2400
2400.
24000.
2440.
245.
25.
250
250.
2500.
25000
25000.
2500000.
2520.
2590.
26.
260.
2600.
26000
26000.
2700.
275.
28.
280.
2800
2800.
285.
2850.
288.
2880.
2900.
2928
3
3.
30.
300
300.
3000
3000.
30000
30000.
300000.
3000000.
3005.
3100
315.
32
32.
320.
3200.
32000.
320000.
33.
330.
3300.
340.
35.
350.
3500
3500.
35000.
36.
360.
3600
3600.
36000.
3700
3750.
378.
384.
3840.
3900.
39720.
4
4.
40
40.
400
400.
4000.
40000
40000.
400000.
405.
41.
418.
42.
420.
42500.
435.
440.
44000
44000.
45
45.
450.
4500
4500.
455.
456.
4560.
460.
4750.
4751040.
480.
4800.
48000.
5
5.
50
50.
500
500.
5000
5000.
50000
50000.
500000.
51.
510.
5100.
520.
5200.
525.
540.
5400.
54000.
55.
550
550.
5500
559.
560.
5600.
565.
570.
5700.
575.
5750.
5760.
580.
5800.
585.
595.
6
6.
60
60.
600.
6000
6000.
60000.
6105000
620.
63.
630.
64.
6400.
64000.
64800.
65
65.
650
650.
6500.
675.
6750.
680.
68000.
6960.
7
7.
70.
700
700.
7000
7000.
70000.
71.
720.
7200.
74.
741.
75
75.
750
750.
7500.
75000.
77.
770.
780.
78000.
8
80
80.
800.
8000.
80000.
820.
837.
840.
8415.
85
850.
860.
880.
9.
90.
900.
9000.
90000
90000.
91.
9200.
95.
9500.
960.
975.
97500.
980.
99.
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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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