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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / GTM_2020_ES-COVID19-R1_V01_M / variable [F1]
enterprise_surveys

Enterprise Survey Follow-up on COVID-19 2020, Round 1

Guatemala, 2020
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Reference ID
GTM_2020_ES-COVID19-R1_v01_M
DOI
https://doi.org/10.48529/dm9a-xt88
Producer(s)
World Bank Group
Collection(s)
Enterprise Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 22, 2021
Last modified
Dec 22, 2021
Page views
5937
Downloads
239
  • Study Description
  • Data Description
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  • Data files
  • Guatemala-COVID
    follow up
    2020-full
    data.dta

Day (COVa20d)

Data file: Guatemala-COVID follow up 2020-full data.dta

Overview

Valid: 203
Invalid: 142
Minimum: 1
Maximum: 30
Type: Discrete
Decimal: 0
Start: 24
End: 25
Width: 2
Range: 1 - 30
Format: Numeric

Questions and instructions

Question pretext
1. READ THE FOLLOWING TO THE TARGET RESPONDENT, IF BY PHONE (mode=1)
Good [morning/afternoon/evening], I’m calling you from [Insert name of the contractor] to thank you for the participation in the survey for the World Bank that we undertook a few months ago. I hope you received the brief report of the results. We would like to take this opportunity to ask you a few questions to follow up on the effect of the COVID-19 virus on your establishment.
The information and opinions you provide will be anonymized. Neither your name nor the name of your business will be used in any document based on this survey.

2. SHOW THE FOLLOWING TO THE RESPONDENT, IF ONLINE (mode=2)
Hello from [Insert name of the contractor]. We would like to thank you for your recent participation in the World Bank’s Enterprise Survey. By now, you should have received a brief report of the results. We would like to take this opportunity to ask you a few questions to follow up on the effect of the COVID-19 virus on your establishment.
The information and opinions you provide will be anonymized. Neither your name nor the name of your business will be used in any document based on this survey.
Literal question
Date of the interview
- Day
Categories
Value Category Cases
1 12
5.9%
2 13
6.4%
3 8
3.9%
4 1
0.5%
5 2
1%
6 13
6.4%
7 9
4.4%
8 4
2%
9 7
3.4%
10 2
1%
11 1
0.5%
13 1
0.5%
14 2
1%
15 4
2%
16 1
0.5%
17 5
2.5%
20 1
0.5%
21 1
0.5%
22 3
1.5%
23 3
1.5%
24 18
8.9%
25 28
13.8%
26 30
14.8%
27 4
2%
28 2
1%
29 10
4.9%
30 18
8.9%
Sysmiss 142
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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