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This publication shares findings on how to better estimate the impact of development assistance on job creation. It shares findings from a study that used input-output and computable general equilibrium models to customize estimation methods to improve jobs impact assessments. The study used 2010-2019 data on Asian Development Bank operations in Fiji, Indonesia, and Thailand. Its findings suggest that simpler input-output models may best suit projects that support substantial local purchases of non-construction capital goods and services. More comprehensive and data-intensive computable general equilibrium models can help capture the broad impact of programmatic policy support and large-scale projects.