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Record W2154311546 · doi:10.1177/0020715208097788

Foreign Investment and Income Inequality

2008· article· en· W2154311546 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentEconomic inequalityEconomicsInequalityIncome distributionNatural experimentInvestment (military)Demographic economicsMeta-regressionMacroeconomicsPolitical scienceMeta-analysisPolitics

Abstract

fetched live from OpenAlex

How does foreign direct investment (FDI) affect income inequality? We bring evidence from the natural experiment of Central and Eastern Europe (CEE) to bear on a hotly debated topic. We begin by outlining the literature on the effect of FDI on income inequality, and the serious critiques offered by Firebaugh that raised doubt on previous research. We then discuss the ways in which CEE countries provide a natural experiment with which to contribute to this debate. We estimate a series of fixed effects regression models that relate income inequality to foreign investment and a baseline internal development model. We find that foreign investment has a robust positive effect on income inequality, net of unmeasured heterogeneity across cases, the internal development model, additional controls, and the critiques offered by Firebaugh. Further, we show that the effect is observable over the short term, no matter how FDI is measured. We conclude by directing attention to CEE countries as a historically unique opportunity to gauge the effect of exposure to the world economy on many development outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.122
GPT teacher head0.412
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it