Final dataset: FDI in 3 dimensions (i, r, s)

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Presentation transcript:

Final dataset: FDI in 3 dimensions (i, r, s) Constraint 1: Maximum value for all FDI for a country r, associated with its 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: Intermediate constraints with 2 dimensions Gathering all raw data 3 years average to avoid volatility Negative values are set to zero OECD (i,s) or (r,s) Constraint 3: Slightly change Eurostat (i,r,s) Econometric estimates (Gravity model – PQML to deal with 0) Used to estimates missing values in 3 dimensions. Estimating missing values Set of « real » values (2 dimensions data can marginaly change during the balancing procedure) Balancing the database Harmonization of mirrors flows with a balancing procedure: Quadratic optimization s.t. constraints 1,2,3 Final dataset: FDI in 3 dimensions (i, r, s)