Economic Complexity and Value-Added Capture: Country-Level Panel Datasets (1995–2023)

Economic Complexity and Value-Added Capture: Country-Level Panel Datasets (1995–2023)

These eight datasets, provided in CSV format, contain country-level panel data on economic complexity, value-added capture, and unequal exchange of labour in the world economy for the period 1995–2023.

The datasets introduce new estimates of value-added production, realisation, and capture at the country level of agregation. The methodology was developed by Tomas Rotta using global input-output data from GLORIA. These data are combined with the Economic Complexity Index (ECI) from the Atlas of Economic Complexity and selected economic indicators from the World Bank’s World Development Indicators (WDI).

Version 1 published on 16 March 2026 (publication of panel datasets not adjusted for self-employment or depreciation).

Version 2 published on 24 May 2026 (addition of panel datasets adjusted for self-employment and depreciation).

Datasets labelled “Marxian” implement the Marxian distinction between productive and unproductive economic activities.

Datasets labelled “Conventional” follow the conventional assumption that all economic activities are productive.

Datasets labelled “v1” use the world median wage as the reference wage and assume a beta coefficient of 0.50.

Datasets labelled “v2” use the world average wage as the reference wage and assume a beta coefficient of 1.00.

For a beta coefficient equal to 0.00, use the variables with the suffix “_unadjusted_for_skills”.

Datasets labelled “SEyes_DEPRECyes” include adjustments for self-employment and fixed asset depreciation.