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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2011_BRIEL_V01_M / variable [F9]
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
330786
Downloads
5271
  • 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? (F3_s2q1)

Data file: Third_followup_Malawi_clean_September_2018_F3

Overview

Valid: 2281
Invalid: 383
Type: Discrete
Decimal: 0
Start: 348
End: 350
Width: 3
Range: -99 - 996
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-99 Refused 0
0%
-6 Missing 0
0%
1 Growing of tobacco 0
0%
2 Growing of cereals 1
0%
3 Growing of other crops 0
0%
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 19
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 3
0.1%
17 Carpentry and joinery 58
2.5%
18 Fitting and Machining 2
0.1%
19 Foundry, forgery 0
0%
20 Metal fabrication 33
1.4%
21 Shoe making 0
0%
22 Manufacture of other leather products 0
0%
23 Tailoring,knitting 60
2.6%
24 Buildings(including Houses) or fences 0
0%
25 Roads and bridges 0
0%
26 Tombstones 0
0%
27 Retail shop-groceries 363
15.9%
28 Retail shop-hardware 194
8.5%
29 Timber/wood 21
0.9%
30 Wine,beer,liquor,soft drinks sale 44
1.9%
31 Sale of agricultural produce 296
13%
32 Sale of animal produce(meat,fish) 225
9.9%
33 Sale of clothes/shoes 219
9.6%
34 Sale of motor vehicle spare parts 8
0.4%
35 Stationery 8
0.4%
36 Cosmetics, beuty products 58
2.5%
37 Electronics and other appliances 42
1.8%
38 Sale of other products(specify) 165
7.2%
39 Mini-bus 1
0%
40 Bicycle taxi 1
0%
41 Other transport of passenger 2
0.1%
42 Transport of products 0
0%
43 Storage and warehouse 0
0%
44 Catering 0
0%
45 Cooked food and snacks 75
3.3%
46 Restaurant 142
6.2%
47 Bar/Tavern/Bottlestore 17
0.7%
48 Hotel 0
0%
49 Guest-house 1
0%
50 Hair salon 100
4.4%
51 Barber shop 22
1%
52 Cell phone units, SIM card retailer 18
0.8%
53 Cleaning 0
0%
54 Auto repair 0
0%
55 Panel beating 1
0%
56 Battery charge 3
0.1%
57 Shoe repair 10
0.4%
59 Other repar and maintenance services 40
1.8%
60 Collection of firewood,fetching water 1
0%
61 Laundry or ironing 0
0%
62 Financial institution 0
0%
63 Real estate 0
0%
64 IT services 6
0.3%
65 Nursery(child care) 0
0%
66 School 1
0%
67 Health clinic 0
0%
68 Pharmacy 0
0%
69 Arts and sports 0
0%
96 Other(specify) 10
0.4%
105 1
0%
996 1
0%
Sysmiss 383
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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