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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2011_BRIEL_V01_M / variable [F2]
impact_evaluation

Business Registration in Malawi Experimental Data and Replication Files 2011-2015

Malawi, 2011 - 2015
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Reference ID
MWI_2011_BRIEL_v01_M
DOI
https://doi.org/10.48529/gnk7-n020
Producer(s)
David McKenzie
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 27, 2018
Last modified
May 05, 2021
Page views
306962
Downloads
4592
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Training_ALL_anonymized
  • Baseline_Malawi_clean_September_2018_BS
  • First_followup_Malawi_clean_September_2018_F
  • Fourth_followup_Malawi_clean_September_2018_F4
  • reasons for
    people that did
    not take
    BRC_edited
  • Second_followup_Malawi_clean_September_2018_F2
  • strata_llw_&_bt
  • survey_completion
  • Third_followup_Malawi_clean_September_2018_F3
  • BRIE_finalpanel_Allfollowups_SEP2018

What ar the primary inputs/raw materials/goods to resell required to make your p (s7q9_2)

Data file: Baseline_Malawi_clean_September_2018_BS

Overview

Valid: 2105
Invalid: 897
Type: Discrete
Decimal: 0
Start: 2420
End: 2421
Width: 2
Range: -9 - 89
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Missing 0
0%
-8 Don't know 0
0%
-7 Notappl 0
0%
1 Fruits & Vegetables 80
3.8%
2 Sugar 91
4.3%
3 Salt 43
2%
4 Water 6
0.3%
5 Nuts 6
0.3%
6 Milk 11
0.5%
7 Oil 16
0.8%
8 Fish 54
2.6%
9 Meat 73
3.5%
10 Potato 23
1.1%
11 Eggs 33
1.6%
12 Bananas 2
0.1%
13 Maize flour 70
3.3%
14 Wheat flour 12
0.6%
15 Rice 123
5.8%
16 Jam 3
0.1%
17 Wine 5
0.2%
18 Juices 7
0.3%
19 Peanut butter 0
0%
20 Packaged nuts 1
0%
21 Candles 7
0.3%
22 Butter/Margarine 2
0.1%
23 Honey 1
0%
24 Bread 38
1.8%
25 Cooking oil 79
3.8%
26 Charcoal 8
0.4%
27 Soap,cosmetics,Beaty products 144
6.8%
28 Wine,beer,liquor,soft drinks 51
2.4%
29 Fish-derived products 0
0%
30 Meat-derived products 6
0.3%
31 Tyres 3
0.1%
32 Tubes 3
0.1%
33 Vanish 10
0.5%
34 Fomaica 3
0.1%
35 Plywood 1
0%
36 Bolt and nut 5
0.2%
37 Insulation tapes 2
0.1%
38 Ready-,made cloth 76
3.6%
39 Woven bags 6
0.3%
40 Clay baskets 0
0%
41 Candles 0
0%
42 Music(CDs/DVDs) 8
0.4%
43 Floor mats 7
0.3%
44 Pharmaceuticals 5
0.2%
45 Jewelry 11
0.5%
46 Leather bags 1
0%
47 Cloth bags 0
0%
48 Herbal medicines 1
0%
49 Bags/Purses 3
0.1%
50 Herbs 0
0%
51 Fabric 1
0%
52 Leather 3
0.1%
53 String/thread 19
0.9%
54 Needles 3
0.1%
55 Buttons 7
0.3%
56 Elastic 7
0.3%
57 Cables 13
0.6%
58 Batteries 12
0.6%
59 Sandals 4
0.2%
60 Shoes 17
0.8%
61 Floor mats 1
0%
62 Bed sheets/pillow cases 4
0.2%
63 Chitenjes 10
0.5%
64 Toiletries 8
0.4%
65 Unfired clay 0
0%
66 Hair products 108
5.1%
67 Beads 1
0%
68 Soaps & Detergents 25
1.2%
69 Timber/Wood 8
0.4%
70 Iron bars 8
0.4%
71 Aluminum scrap 4
0.2%
72 Copper wire 5
0.2%
73 Paints/dyes 5
0.2%
74 Wax/paraffin 1
0%
75 Petrol 2
0.1%
76 Kerosene 3
0.1%
77 Paper 15
0.7%
78 Bamboo 0
0%
79 Welding rods 3
0.1%
80 Metal sheet 10
0.5%
81 Nails 31
1.5%
82 Glue/Bostic 18
0.9%
83 Other inputs(specify) 489
23.2%
84 Soft drinks 33
1.6%
85 Beer 19
0.9%
86 Airtime 25
1.2%
87 Cement 0
0%
88 Cigarettes 10
0.5%
89 Cereals 33
1.6%
Sysmiss 897
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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