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Cited by 277

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Do Entry Regulations Deter Entrepreneurship and Job Creation? Evidence from Recent Reforms in Portugal

Open access
Branstetter, Lee, Lima, Francisco, Taylor, Lowell J., Venâncio, Ana·2014·The Economic Journal

Abstract

We evaluate the consequences of a recent regulatory reform in Portugal, which substantially reduced the cost of firm entry. Our analysis uses matched employer–employee data, which provide unusually rich information on the characteristics of founders and employees associated with new firms before and after the reform. We find that the short‐term consequences of the reform were as one would predict with a standard economic model of entrepreneurship: the reform resulted in increased firm formation and employment, but mostly among ‘marginal firms’ that would have been most readily deterred by existing heavy entry regulations. These marginal firms were typically small, owned by relatively poorly educated entrepreneurs, and operating in low‐technology sectors (agriculture, construction and retail trade). In comparison to firms that entered in the absence of the reform, these marginal firms were less likely to survive their first two years.

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Crossref · 10.1111/ecoj.12044

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Metadata

Authors
Branstetter, L., Lima, F., Taylor, L. J., & Venâncio, A.
Venue
The Economic Journal
Published
2013-07-16
Volume
124
Issue
577
Pages
805-832
ISSN
  • 0013-0133 (ISSN-L)
  • 1468-0297
OpenAlex
W2024053660
Cited by
277
References
44
FWCI
8.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Do Entry Regulations Deter Entrepreneurship and Job Creation? Evidence from Recent Reforms in Portugal. https://app.cochat.ai/papers/10.1111/ecoj.12044
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Branstetter, L., Lima, F., Taylor, L. J., & Venâncio, A. (2014). Do Entry Regulations Deter Entrepreneurship and Job Creation? Evidence from Recent Reforms in Portugal. The Economic Journal. https://doi.org/10.1111/ecoj.12044

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.