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Broadcast 03,04-05-2024
Англи

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Improving Statistical Accuracy in Mongolia for Evidence-Based Policy Making implemented


Oyundelger 2017-05-15 06:05

After Mongolia was affected by the 2008 global financial crisis and extremely severe winters, the economic reforms and the country’s growth resumed.

Improving Statistical Accuracy in Mongolia for Evidence-Based Policy Making is implemented. After Mongolia was affected by the 2008 global financial crisis and extremely severe winters, the economic reforms and the country’s growth resumed. The government of Mongolia developed a National Development Strategy covering an ambitious development agenda for the country with six main priorities. Implementation of this agenda was data and information intensive, and Mongolia needed to strengthen its statistical system in order to monitor progress towards these objectives. The National Statistical Office (NSO) was reorganized and became an independent agency under the Parliament authority. Building on the World Bank’s previous experience working with the NSO and its substantial experience in assisting other countries in developing their statistical capacity, the government of Mongolia requested the World Bank for support to strengthen the national statistical system and implement the National Statistical Master Plan. Following this request, the Strengthening of the National Statistics System of Mongolia (MONSTAT) project was developed to enable the national statistical system to provide relevant, reliable, and timely data for evidence-based policy making. This objective was to be achieved by improving policy, regulatory, and institutional frameworks and strengthening the statistical registers and standards. The project also aimed to upgrade staff skills, as well as improve survey and data collection programs and methodologies using this new infrastructure and best international practices. Lastly, equipment and physical infrastructure to support the implementation of the wide array of reforms implemented under the project was provided. Statistical data user satisfaction rate jumped from 47% at the start of project implementation to 71%, as documented by the final user satisfaction survey, conducted in October 2014.

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