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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Replication dataset for "Strategic Mineral Specialization and Structural Transformation: Value-Chain Integration in Rare Earths and Niobium"

Authors: Luperi, Mauricio;

Replication dataset for "Strategic Mineral Specialization and Structural Transformation: Value-Chain Integration in Rare Earths and Niobium"

Abstract

This repository contains the replication dataset and Stata code used in the article “Strategic Mineral Specialization and Structural Transformation: Value-Chain Integration in Rare Earths and Niobium”. The dataset is a cross-country panel covering mineral-exporting economies for the period 2000–2025. It combines international trade statistics for rare earth elements and ferroniobium with macroeconomic indicators including manufacturing value added, foreign direct investment, gross fixed capital formation, exports, and real effective exchange rates. The Stata replication file reproduces the econometric models presented in the paper, including two-way fixed effects panel estimations with clustered standard errors. Primary data sources include UN Comtrade, the World Bank World Development Indicators, the Bank for International Settlements effective exchange rate statistics, and the World Bank Commodity Price Database (Pink Sheet).

Keywords

replication data, rare earth elements, strategic minerals, structural transformation, niobium, industrial policy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average