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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
269748
Downloads
4319
  • 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

In which sector did the previous (most recent) business operate (s15q5)

Data file: Baseline_Malawi_clean_September_2018_BS

Overview

Valid: 1241
Invalid: 1761
Type: Discrete
Decimal: 0
Start: 4650
End: 4651
Width: 2
Range: -9 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Missing 0
0%
-8 Don't know 0
0%
-7 Notappl 0
0%
1 Growing of tobacco 4
0.3%
2 Growing of cereals 7
0.6%
3 Growing of other crops 7
0.6%
4 Animal production 9
0.7%
5 Support activites to agriculture and post-harvest crop activities 22
1.8%
6 Forestry and logging 0
0%
7 Fishing and aquaculture 3
0.2%
9 Making charcoal 11
0.9%
10 Milling(incl. Hand miling) 3
0.2%
11 Food processing 7
0.6%
12 Canning 0
0%
13 Beer brewing 2
0.2%
14 Wine-makong 1
0.1%
15 Jewelry making 1
0.1%
16 Making handicraft 4
0.3%
17 Carpentry and joinery 7
0.6%
18 Fitting and joinery 1
0.1%
19 Foundry, forgery 1
0.1%
20 Metal fabrication 3
0.2%
21 Shoe making 0
0%
22 Manufacture of other leather products 3
0.2%
23 Tailoring,knitting 8
0.6%
24 Buildings(including Houses) or fences 5
0.4%
25 Roads and bridges 1
0.1%
26 Tombstones 0
0%
27 Retail shop-groceries 168
13.5%
28 Retail shop-hardware 25
2%
29 Timber/wood 24
1.9%
30 Wine,beer,liquor,soft drinks sale 8
0.6%
31 Sale of agricultural produce 281
22.6%
32 Sale of animal produce(meat,fish) 114
9.2%
33 Sale of clothes/shoes 223
18%
34 Sale of motor vehicle spare parts 4
0.3%
35 Stationery 4
0.3%
36 Cosmetics, beuty products 14
1.1%
37 Electronics and other appliances 14
1.1%
38 Sale of other products(specify) 53
4.3%
39 Mini-bus 3
0.2%
40 Bicycle taxi 0
0%
41 Other transport of passenger 2
0.2%
42 Transport of products 2
0.2%
43 Storage and warehouse 0
0%
44 Catering 0
0%
45 Cooked food and snacks 101
8.1%
46 Restaurant 20
1.6%
47 Bar/Tavern/Bottlestore 12
1%
48 Hotel 0
0%
49 Guest-house 1
0.1%
50 Hair salon 8
0.6%
51 Barber shop 6
0.5%
52 Cell phone units, SIM card retailer 10
0.8%
53 Cleaning 1
0.1%
54 Auto repair 0
0%
55 Panel beating 0
0%
56 Battery charge 6
0.5%
57 Shoe repair 0
0%
59 Other repar and maintenance services 2
0.2%
60 Collection of firewood,fetching water 5
0.4%
61 Laundry or ironing 0
0%
62 Financial institution 1
0.1%
63 Real estate 0
0%
64 IT services 2
0.2%
65 Nursery(child care) 0
0%
66 School 0
0%
67 Health clinic 0
0%
68 Pharmacy 0
0%
69 Arts and sports 2
0.2%
99 Other(specify) 15
1.2%
Sysmiss 1761
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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