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In the absence of timely data on the development indicators, the UN system, including various regional and global organizations, often apply statistical and mathematical methods to extrapolate existing data series to fill the data gaps. This paper is proposing a time-related weighting system that increases accuracy of extrapolation methods, as used by ESCAP and its partner organisations in recent years to monitor the regional progress towards internationally agreed development goals. The results from a simulation study on a set of indicators across all Sustainable Development Goals (SDGs) prove substantive gain in accuracy by applying the weighting factors.

In the absence of timely data on the development indicators, the UN system, including various regional and global organizations, often apply statistical and mathematical methods to extrapolate existing data series to fill the data gaps. This paper is proposing a time-related weighting system that increases accuracy of extrapolation methods, as used by ESCAP and its partner organisations in recent years to monitor the regional progress towards internationally agreed development goals. The results from a simulation study on a set of indicators across all Sustainable Development Goals (SDGs) prove substantive gain in accuracy by applying the weighting factors.

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