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Cited by 403

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Effects of Environmental Regulations on Manufacturing Plant Births: Evidence from a Propensity Score Matching Estimator

Open access
List, John A., Millimet, Daniel L., Fredriksson, Per G., McHone, W. Warren·2003·Review of Economics and Statistics

Abstract

This study examines the effects of air quality regulation on economic activity. Anecdotal evidence and some recent empirical studies suggest that an inverse relationship exists between the stringency of environmental regulations and new plant formations. Using a unique county-level data set for New York State from 1980 to 1990, we revisit this conjecture using a seminonparametric method based on propensity score matching. Our empirical estimates suggest that pollution-intensive plants are responding to environmental regulations; more importantly, we find that traditional parametric methods used in previous studies may dramatically understate the impact of more stringent regulations.

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Metadata

Authors
List, J. A., Millimet, D. L., Fredriksson, P. G., & McHone, W. W.
Venue
Review of Economics and Statistics
Published
2003-11
Volume
85
Issue
4
Pages
944-952
ISSN
  • 0034-6535 (ISSN-L)
  • 1530-9142
OpenAlex
W2059852495
Cited by
403
References
4
FWCI
26.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Effects of Environmental Regulations on Manufacturing Plant Births: Evidence from a Propensity Score Matching Estimator. https://app.cochat.ai/papers/10.1162/003465303772815844
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List, J. A., Millimet, D. L., Fredriksson, P. G., & McHone, W. W. (2003). Effects of Environmental Regulations on Manufacturing Plant Births: Evidence from a Propensity Score Matching Estimator. Review of Economics and Statistics. https://doi.org/10.1162/003465303772815844

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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.