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

Lithuania, 2020

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Reference ID

LTU_2020_ES-COVID19-R1_v01_M

DOI

https://doi.org/10.48529/jcmh-wn27

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

3835

Downloads

202

Identification

Survey ID number

LTU_2020_ES-COVID19-R1_v01_M

Title

Enterprise Survey Follow-up on COVID-19 2020

Subtitle

Round 1

Country/Economy

Name	Country code
Lithuania	LTU

Study type

Enterprise Survey [en/oth]

Abstract

As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Enterprise

Scope

Notes

The survey covers the following topics:

Sales
Production
Labor
Finance
Policies
Expectations
Information on permanently closed establishments

Coverage

Geographic Coverage

National

Universe

The universe of inference is all registered establishments with five or more employees that are engaged in one of the following activities defined using ISIC Rev. 3.1: manufacturing (groupd D), construction (group F), services sector (groups G and H), transport, storage, and communcations sector (group I) and information technology (division 72 of group K).

Producers and sponsors

Primary investigators

Name
World Bank Group

Producers

Name
World Bank Group

Sampling

Sampling Procedure

The follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling.
Total sample target: 358

Response Rate

67.3%

Weighting

The dataset contains thee weight variables. The baseline weights are denoted wmedian_ES and are used to compute the indicators that project to the baseline universe (e.g. exit rates). To account for non-response in the follow-up, these sampling weights are adjusted by cell of stratification (combination of size, sector, and location). The resulting variable wmedian_COVID - recommended to be used for analysis and used to compute all other indicators - assumes that businesses that could not be re-contacted (unobtainable) have exited the market. The variable wweak_COVID assumes that unobtainable businesses continue to exist. Establishments that have closed permanently are interviewed using a short questionnaire which is also available in the dataset.

Survey instrument

Questionnaires

The questionnaire contains the following modules:

Control information and introduction
Sales
Production
Labor
Finance
Policies
Expectations
Information on permanently closed establishments
Interview protocol

Data collection

Dates of Data Collection

Start	End	Cycle
2020-10-05	2020-10-30	Round 1

Data Collectors

Name
CIVITTA

Data Collection Notes

Method of data collection: Computer Assisted Personal Interviews (CAPI), with phone follow-up.

Data Access

Access authority

Name	Affiliation	URL	Email
Enterprise Analysis Unit	The World Bank	https://www.enterprisesurveys.org/en/covid-19	enterprisesurveys@worldbank.org

Citation requirements

The use of this dataset must be acknowledged using a citation which would include:

the identification of the Primary Investigator (including country name)
the full title of the survey and its acronym (when available), and the year(s) of implementation
the survey reference number
the source and date of download (for datasets disseminated online)

Example:

The World Bank. Lithuania Enterprise Survey Follow-up on COVID-19, Round 1 (ES-COVID19-R1) 2020, Ref. LTU_2020_ES-COVID19-R1_v01_M. Dataset downloaded from [URL] on [date].

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Contacts

Name	Affiliation	Email
Enterprise Analysis Unit	The World Bank	enterprisesurveys@worldbank.org

Metadata production

DDI Document ID

DDI_LTU_2020_ES-COVID19-R1_v01_M_WB

Producers

Name	Affiliation	Role
Development Data Group	World Bank Group	Documentation of the DDI

Date of Metadata Production

2021-12-01

Metadata version

DDI Document version

Version 1 (December 2021)

Citation

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