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Title: Replication Data for: Participation, Government Legitimacy, and Regulatory Compliance in Emerging Economies: A Firm-Level Field Experiment in Vietnam

Type Dataset Malesky, Edmund (2019): Replication Data for: Participation, Government Legitimacy, and Regulatory Compliance in Emerging Economies: A Firm-Level Field Experiment in Vietnam. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IANHOG

Authors: Malesky, Edmund (Duke University) ; Malesky, Edmund (Duke University) ; Harvard Dataverse (Duke University) ;

Links

Summary

This replication dataset set includes: 1) all experimental treatments (including scripts, surveys, movies); 2) codebooks for raw survey and cleaned data; 3) all collected datasets and clean analysis set; and 4) all replication code in the form of .do files. Abstract: This paper employs a field experiment in single-party-ruled Vietnam to test whether providing a broad-based, representative sample of firms the opportunity to comment on draft regulations increases their subsequent compliance. We find three main outcomes of this treatment. First, treated firms exhibited greater improvement in their views of government’s regulatory authority. Second, these firms were more likely to allow government-affiliated auditors to examine their factories. Third, treated firms demonstrated greater compliance on the factory floor. Access and compliance were not explained by the receipt of advance information about the regulation’s requirements, and none of the three outcomes required that firms offer substantive comments.

More information

  • DOI: 10.7910/DVN/IANHOG

Subjects

  • Social Sciences, Participation, Vietnam, Compliance, Regulation, Legitimacy, Deliberation, Notice & Comment, Firms, SMEs

Dates

  • Publication date: 2019
  • Submitted: November 07, 2018
  • Updated: January 04, 2019

Notes

Other: To begin replication, please open 20171106_README_Master.txt or 20181106_MT_APSR_Master.do Both explain all the datasets and analysis code. 20181106_MT_APSR_Master.do will create the clean dataset from the raw data and replicate all tables and figures in Manuscript and Paper. If the user wants to skip to just analyses begin with 20181106_RCT_Clean.dta and start with the third .do file listed in teh Master file. .do files can also be run indpendently as well to replicate specific analyeses.

Rights

  • info:eu-repo/semantics/openAccess
  • This dataset not to be distributed/posted outside of the Harvard Dataverse. All downloads should take place directly on Harvard Dataverse to ensure data integrity.

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsCitedByhttps://doi.org/10.1017/S0003055418000849