Stata do-file for the paper informal legacy and exporting among Sub-Saharan African firms

DOI

Stata do-file for the paper informal legacy and exporting among Sub-Saharan African firms. Published in Organization Science (2022).  

Abstract paper Around the world and especially in areas of widespread poverty, firms start their operations without registering with relevant authorities (i.e., in the informal economy). We explore whether firms that initiated their operations in the informal economy but later register have a higher propensity to export than firms that register at the time of their foundation. We reason that the experience of having operated informally provides formally registered firms with the advantage of low-cost and flexible exploration but also a domestic legitimacy liability. We suggest that these factors likely contribute to making foreign export markets more attractive after registration. Based on a comprehensive sample of Sub-Saharan African firms, we find that conditional on registration, firms with an informal legacy have a higher propensity to initiate exporting than firms that started their operations formally. We contribute with theoretical and policy-oriented insights on the dynamics of informality and exporting. 

This stata do-file lists all commands that have been executed in the data management and analysis process. The main data source is the World Bank Enterprise Survey.  World Bank Enterprise Survey Data is available through the World Bank for researchers after registration.  

Reference:   Larsen, M. M., & Witte, C. T. (2022). Informal Legacy and Exporting Among Sub-Saharan African Firms. Organization Science. 

This entry is a one-file data package totaling 17.9 KB, containing a file in .do format.If you use this dataset, please cite: Witte, Caroline; Larsen, Marcus Møller (2022). Stata do-file for the paper informal legacy and exporting among Sub-Saharan African firms. Erasmus University Rotterdam (EUR). Software. https://doi.org/10.25397/eur.21445275

Identifier
DOI https://doi.org/10.34894/5HED8C
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/5HED8C
Provenance
Creator Witte, Caroline; Larsen, Marcus Møller ORCID logo
Publisher DataverseNL
Contributor Witte, Caroline
Publication Year 2025
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Witte, Caroline (Rotterdam School of Management <https://ror.org/057w15z03>)
Representation
Resource Type Dataset
Format application/x-stata-syntax
Size 14237
Version 1.0
Discipline Other