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Foreign Ownership and Wages

Evidence from Hungary, 1986-2008

Bibliographic Data

ID3148596
AuthorsJohn S Earle (0000-0001-8507-6685), Álmos Telegdy (0000-0003-4651-5280), Gábor Antal (0000-0002-3002-8624, George Mason University)
Year2018
Volume71
Issue2
Pages458-491
Publication date2018-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIndustrial and Labor Relations Review (JOURNAL)
Journal identifiersISSN: 0019-7939 • E-ISSN: 2162-271X
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0019793917700087
OpenAlexW3125578567
LanguageEN
Citations received4
References cited49

This article estimates the wage effects of foreign direct investment (FDI) using firm-level and linked employer-employee panel data containing a large number of foreign acquisitions over a long period of rapid development in Hungary. Matching on pre-acquisition data, the authors find that much of the raw foreign wage premium represents selection bias, but that foreign acquisition nevertheless raises average wages by 15 to 29% when controlling for fixed effects for firms and highly detailed worker groups, and by 6% with firm-worker match effects. Acquired firms that are later divested to domestic owners experience a substantial reversal of the positive acquisition effect. No type of worker-defined by education, experience, gender, incumbency, and occupational group-experiences wage decline, but the patterns suggest skill bias in the gains from acquisition. The evidence implies a strong cross-firm correlation of FDI wage and productivity differentials, and an inverse relationship between FDI effects and economic development level of the sending country relative to Hungary

Business · Demographic economics · Econometrics · Economics · Foreign direct investment · Foreign ownership · Investment (military) · Labour economics · Macroeconomics · Matching (statistics) · Panel data · Productivity · Selection bias · Wage · Economic Policies and Impacts · Global trade and economics · International Business and FDI

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Unique citing works4
Citations per year0,57
Citation span2019 - 2022 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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