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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
282591
Downloads
4359
  • 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_3)

Data file: Baseline_Malawi_clean_September_2018_BS

Overview

Valid: 1665
Invalid: 1337
Type: Discrete
Decimal: 0
Start: 2422
End: 2423
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 55
3.3%
2 Sugar 61
3.7%
3 Salt 40
2.4%
4 Water 13
0.8%
5 Nuts 8
0.5%
6 Milk 12
0.7%
7 Oil 10
0.6%
8 Fish 38
2.3%
9 Meat 51
3.1%
10 Potato 9
0.5%
11 Eggs 28
1.7%
12 Bananas 2
0.1%
13 Maize flour 48
2.9%
14 Wheat flour 11
0.7%
15 Rice 64
3.8%
16 Jam 3
0.2%
17 Wine 2
0.1%
18 Juices 11
0.7%
19 Peanut butter 2
0.1%
20 Packaged nuts 6
0.4%
21 Candles 14
0.8%
22 Butter/Margarine 3
0.2%
23 Honey 4
0.2%
24 Bread 25
1.5%
25 Cooking oil 68
4.1%
26 Charcoal 11
0.7%
27 Soap,cosmetics,Beaty products 133
8%
28 Wine,beer,liquor,soft drinks 30
1.8%
29 Fish-derived products 2
0.1%
30 Meat-derived products 9
0.5%
31 Tyres 1
0.1%
32 Tubes 3
0.2%
33 Vanish 4
0.2%
34 Fomaica 1
0.1%
35 Plywood 3
0.2%
36 Bolt and nut 4
0.2%
37 Insulation tapes 1
0.1%
38 Ready-,made cloth 34
2%
39 Woven bags 1
0.1%
40 Clay baskets 0
0%
41 Candles 2
0.1%
42 Music(CDs/DVDs) 16
1%
43 Floor mats 8
0.5%
44 Pharmaceuticals 5
0.3%
45 Jewelry 7
0.4%
46 Leather bags 0
0%
47 Cloth bags 0
0%
48 Herbal medicines 1
0.1%
49 Bags/Purses 3
0.2%
50 Herbs 0
0%
51 Fabric 1
0.1%
52 Leather 0
0%
53 String/thread 12
0.7%
54 Needles 4
0.2%
55 Buttons 4
0.2%
56 Elastic 5
0.3%
57 Cables 3
0.2%
58 Batteries 15
0.9%
59 Sandals 0
0%
60 Shoes 10
0.6%
61 Floor mats 0
0%
62 Bed sheets/pillow cases 3
0.2%
63 Chitenjes 5
0.3%
64 Toiletries 4
0.2%
65 Unfired clay 1
0.1%
66 Hair products 74
4.4%
67 Beads 0
0%
68 Soaps & Detergents 28
1.7%
69 Timber/Wood 8
0.5%
70 Iron bars 2
0.1%
71 Aluminum scrap 3
0.2%
72 Copper wire 6
0.4%
73 Paints/dyes 6
0.4%
74 Wax/paraffin 1
0.1%
75 Petrol 1
0.1%
76 Kerosene 1
0.1%
77 Paper 10
0.6%
78 Bamboo 0
0%
79 Welding rods 2
0.1%
80 Metal sheet 8
0.5%
81 Nails 35
2.1%
82 Glue/Bostic 20
1.2%
83 Other inputs(specify) 445
26.7%
84 Soft drinks 19
1.1%
85 Beer 11
0.7%
86 Airtime 18
1.1%
87 Cement 0
0%
88 Cigarettes 13
0.8%
89 Cereals 20
1.2%
Sysmiss 1337
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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