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    Home / Central Data Catalog / TZA_2010_VBIIE-BL_V01_M_V01_A_PUF / variable [F16]
central

Virtual Business Incubator Impact Evaluation 2010, Baseline Survey

Tanzania, 2010
Reference ID
TZA_2010_VBIIE-BL_v01_M_v01_A_PUF
Producer(s)
Elena Bardasi, Markus Goldstein
Metadata
DDI/XML JSON
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
36211
Downloads
888
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • bl_consumption
  • bl_parental_history
  • bl_mental_health_marital
  • bl_labor
  • bl_housing
  • bl_household_savings
  • bl_household_assets
  • bl_group_participation
  • bl_education
  • bl_respondent_savings
  • bl_timeuserespond
  • enterprise2bl_roster5_1_1
  • enterprise3bl
  • enterprise4bl
  • enterprise5bl_products
  • enterprise8bl_busequip
  • enterprise9bl_labor_clients
  • enterprise10bl_top_products
  • enterprise11bl_prices_sales
  • enterprise12bl_marketing_finance
  • enterprise13bl_prof_rev_exp
  • enterprise14bl_chall_opp
  • enterprise15bl_harass1
  • enterprise16bl_harass2
  • enterprise17bl_support
  • enterprise18bl_access
  • enterprise19bl_training
  • enterprise20bl_conclusion
  • group_respondent
  • enterprise1bl_anonymized
  • tanzania_introduction_anonymized
  • enterprise6bl_respondent_inputs_anonymized
  • enterprise7bl_inputs_anonymized

How many of your products typically become spoiled and cannot be sold later at the end of each week? (es3q15_quantity)

Data file: enterprise5bl_products

Overview

Valid: 1270
Invalid: 1193
Minimum: 0
Maximum: 1500
Mean: 15.306
Standard deviation: 53.501
Type: Discrete
Decimal: 0
Start: 117
End: 120
Width: 4
Range: 0 - 1500
Format: Numeric

Questions and instructions

Literal question
How many of your products typically become spoiled and cannot be sold later at the end of each week?
Categories
Value Category Cases
0 965
76%
1 29
2.3%
2 22
1.7%
3 14
1.1%
4 6
0.5%
5 18
1.4%
6 1
0.1%
7 1
0.1%
8 4
0.3%
9 1
0.1%
10 13
1%
15 3
0.2%
20 11
0.9%
25 2
0.2%
30 1
0.1%
40 2
0.2%
50 2
0.2%
70 1
0.1%
90 3
0.2%
98 services 170
13.4%
1500 1
0.1%
Sysmiss 1193
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.
Interviewer instructions
Note that these are the entrepreneur's products, not her inputs required to make her products.
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