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Cited by 326

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

The Productivity Effects of Privatization: Longitudinal Estimates from Hungary, Romania, Russia, and Ukraine

Brown, J. David, Earle, John S., Telegdy, Álmos·2006·Journal of Political Economy

Abstract

This paper estimates the effect of privatization on multifactor productivity using comprehensive panel data on initially state‐owned manufacturing firms in four economies. We exploit the data’s longitudinal dimension to control for preprivatization selection and estimate long‐run impacts. The estimates are robust to functional form but sensitive to selection controls. Our preferred random growth estimates imply positive multifactor productivity effects of 15 percent in Romania, 8 percent in Hungary, and 2 percent in Ukraine, but a −3 percent effect in Russia. The foreign privatization effect is larger (18–35 percent) in all countries. Positive domestic effects appear immediately in Hungary, Romania, and Ukraine and continue growing thereafter, but emerge only five years after privatization in Russia.

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Metadata

Authors
Brown, J. D., Earle, J. S., & Telegdy, Á.
Venue
Journal of Political Economy
Published
2006-02
Volume
114
Issue
1
Pages
61-99
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W2163375020
Cited by
326
References
25
FWCI
143.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Productivity Effects of Privatization: Longitudinal Estimates from Hungary, Romania, Russia, and Ukraine. https://app.cochat.ai/papers/10.1086/499547
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Brown, J. D., Earle, J. S., & Telegdy, Á. (2006). The Productivity Effects of Privatization: Longitudinal Estimates from Hungary, Romania, Russia, and Ukraine. Journal of Political Economy. https://doi.org/10.1086/499547

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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.