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Abstract
Ex ante policy assessments often need to consider economic impacts over the coming decades of for a future point in time, a task which requires a counterfactual view of how the economy would evolve in absence of the policy measure. We present a novel method (PIRAMID)to develop a baseline for CGE models by projecting a consistent combination of data into the future. In a first step, Input-Output tables are projected forward to 2050, along with satellite data and projections from demographic, macroeconomic, and energy system models. In a second step, we calibrate a CGE model to the resulting global, economy-wide dataset. The method captures structural change, is flexible to integrate various data sources and can be shared across different modelling teams, enabling data transparency and fostering an open stakeholder engagement process. JEL codes: C68, D58, F01, Q43, Q58 Keywords: Baseline; CGE modelling; Data integration; Calibration.