Cross Country Mean Firm Size Data 1950-2022
World, 1950 - 2022
Get Microdata
Reference ID
zaf-steg-ccmfs-1950-2022-v1
Producer(s)
Andrew Kerr, Nic Forster
Metadata
Created on
Nov 30, 2023
Last modified
Jun 09, 2024
Page views
9350
Downloads
182
Identification
Survey ID Number
zaf-steg-ccmfs-1950-2022-v1
Title
Cross Country Mean Firm Size Data 1950-2022
Country
| Name | Country code |
|---|---|
| World | wd |
Study type
Replication/Reproducibility Data
Abstract
The Cross Country Mean Firm Size data was created by Andrew Kerr of the University of Cape Town as part of a project entitled “Firm size and Economic Growth in sub-Saharan Africa”, which was funded by the Structural Transformation and Economic Growth (STEG) initiative. The data covers 198 countries from 1950 to 2022 and is created from several sources. These include IPUMS population census microdata from IPUMS, United Nations Statistics Division (UNSD) aggregated population census data, aggregated household survey data from the International Labour Organization (ILO), replication data from papers by Bento and Restuccia (2017) and Poschke (2018), microdata from the World Bank Enterprise Surveys (WBES) and GDP per capita information from the Penn World Table.
Kind of Data
Other
Version
Version Description
v1: Edited, anonymised data for public distribution
Version Date
2023-11-29
Scope
Notes
This data covers firm sizes and other firm-level information for firms in 198 countries.
Coverage
Geographic Unit
The data is at the country level
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Andrew Kerr | Structural Transformation and Economic Growth Initiative |
| Nic Forster | University of Cape Town |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Structural Transformation and Economic Growth | STEG | Funding agency |
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1950 | 2022 |
Data Collection Mode
Other
Data Collection Notes
The Cross Country Mean Firm Size data is created from several sources, including census microdata from the IPUMS project at the University of Minnesota; aggregated population census data from the United Nations Statistics Division (UNSD); aggregated household survey data from the International Labour Organization (ILO); microdata from the World Bank Enterprise Surveys (WBES); GDP per capita data from the Penn World Table; and replication data from papers by Bento and Restuccia (2017) and Poschke (2018).
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Support | University of Cape Town | support@data1st.org | www.support.data1st.org |
Access conditions
Public access data for use under a Creative Commons CC-BY (Attribution-only) License
Citation requirements
Kerr, Andrew. Cross Country Mean Firm Size Data 1950-2022 [dataset]. Version 1. London: Structural Transformation and Economic Growth Initiative [producer], 2023. Cape Town: DataFirst [distributor], 2023. DOI: https://doi.org/10.25828/ycgf-a446
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2024-06-09
DDI Document version
Version 2