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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Measuring Labor Share in Economies without COE: A Bottom-Up Approach in Vietnam

Authors: Nomura, Koji;

Measuring Labor Share in Economies without COE: A Bottom-Up Approach in Vietnam

Abstract

Productivity Research Notes (PRN Series), No. 2604. This note develops a bottom-up approach to measuring labor share in economies where compensation of employees (COE) is not available in national accounts, using Vietnam as a case study. By integrating micro-level data on wages, employment, and hours worked, it constructs consistent time-series estimates of labor compensation and factor income shares. The results show that the derived labor share aligns with available benchmark aggregates while remaining conceptually distinct from mixed income measures. The analysis further demonstrates that uncertainty in labor share measurement translates directly into substantial variation in total factor productivity (TFP) estimates, underscoring the importance of reliable labor compensation data for growth accounting in developing economies.

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Keywords

TFP, Vietnam, Labor share, Growth accounting

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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
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