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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2011_BRIEL_V01_M / variable [F4]
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
309071
Downloads
4661
  • 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

1. What does this business do? (F4_s2q1)

Data file: Fourth_followup_Malawi_clean_September_2018_F4

Overview

Valid: 2295
Invalid: 391
Type: Discrete
Decimal: 0
Start: 348
End: 350
Width: 3
Range: -99 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-99 Refused 0
0%
-6 Missing 24
1%
1 Growing of tobacco 1
0%
2 Growing of cereals 0
0%
3 Growing of other crops 2
0.1%
4 Animal production 0
0%
5 Support activites to agriculture and post-harvest crop activities 0
0%
6 Forestry and logging 0
0%
7 Fishing and aquaculture 0
0%
9 Making charcoal 18
0.8%
10 Milling(incl. Hand miling) 9
0.4%
11 Food processing 0
0%
12 Canning 0
0%
13 Beer brewing 0
0%
14 Wine-making 0
0%
15 Jewelry making 0
0%
16 Making handicraft 0
0%
17 Carpentry and joinery 60
2.6%
18 Fitting and Machining 3
0.1%
19 Foundry, forgery 1
0%
20 Metal fabrication 32
1.4%
21 Shoe making 0
0%
22 Manufacture of other leather products 0
0%
23 Tailoring,knitting 56
2.4%
24 Buildings(including Houses) or fences 0
0%
25 Roads and bridges 2
0.1%
26 Tombstones 1
0%
27 Retail shop-groceries 338
14.7%
28 Retail shop-hardware 192
8.4%
29 Timber/wood 24
1%
30 Wine,beer,liquor,soft drinks sale 28
1.2%
31 Sale of agricultural produce 300
13.1%
32 Sale of animal produce(meat,fish) 228
9.9%
33 Sale of clothes/shoes 233
10.2%
34 Sale of motor vehicle spare parts 5
0.2%
35 Stationery 11
0.5%
36 Cosmetics, beuty products 49
2.1%
37 Electronics and other appliances 40
1.7%
38 Sale of other products(specify) 169
7.4%
39 Mini-bus 1
0%
40 Bicycle taxi 1
0%
41 Other transport of passenger 0
0%
42 Transport of products 0
0%
43 Storage and warehouse 0
0%
44 Catering 0
0%
45 Cooked food and snacks 76
3.3%
46 Restaurant 139
6.1%
47 Bar/Tavern/Bottlestore 21
0.9%
48 Hotel 0
0%
49 Guest-house 1
0%
50 Hair salon 109
4.7%
51 Barber shop 22
1%
52 Cell phone units, SIM card retailer 19
0.8%
53 Cleaning 0
0%
54 Auto repair 4
0.2%
55 Panel beating 2
0.1%
56 Battery charge 4
0.2%
57 Shoe repair 11
0.5%
59 Other repar and maintenance services 38
1.7%
60 Collection of firewood,fetching water 0
0%
61 Laundry or ironing 0
0%
62 Financial institution 0
0%
63 Real estate 0
0%
64 IT services 4
0.2%
65 Nursery(child care) 0
0%
66 School 1
0%
67 Health clinic 0
0%
68 Pharmacy 0
0%
69 Arts and sports 1
0%
96 Other(specify) 15
0.7%
Sysmiss 391
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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