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This project focuses on optimizing Foreign Direct Investment (FDI) data across three dimensions (i, r, s) using IMF, UNCTAD, OECD, Eurostat sources. The methodology involves handling negative values, estimating missing data using econometric models, and balancing datasets to ensure accuracy and consistency.
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Constraint 1: Maximum value for all FDI for a country r, associatedwithits discret support and prior IMF (BOP) (r) Or UNCTAD (r) Scaling in and out FDI WiiW, China (i,s) or (r,s) Eurostat (i,r,s) Constraint 2: Intermediateconstraintswith 2 dimensions • Gathering all raw data • 3 yearsaverage to avoidvolatility • Negative values are set to zero OECD (i,s) or (r,s) Constraint 3: Slightly change Eurostat (i,r,s) Econometricestimates (Gravity model – PQML to deal with 0) Used to estimatesmissing values in 3 dimensions. Estimatingmissing values Set of « real » values (2 dimensions data canmarginaly change during the balancingprocedure) Balancing the database Harmonization of mirrorsflowswith a balancingprocedure: Quadraticoptimizations.t. constraints 1,2,3 Final dataset: FDI in 3 dimensions (i, r, s)