Monthly currency exchange rate estimates by market - Syrian Arab Republic

Abstract
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Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes
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The data cover the following sub-national areas: Aleppo, Dar'a, Quneitra, Homs, Deir-ez-Zor, Damascus, Ar-Raqqa, Al-Hasakeh, Hama, As-Sweida, Rural Damascus, Tartous, Idleb, Lattakia, Market Average

货币兑换率是制定经济政策的重要指标，但传统来源在危机期间往往存在延迟，并且仅以汇总水平提供。这可能导致对农村或贫困地区的实际汇率趋势反映不足，而这些地区居住着大量处于脆弱状况的人口。本数据集包括货币汇率估计值，旨在帮助深入了解传统方法无法正式测量的价格发展趋势。这些估计值通过机器学习方法生成，该方法通过补充地方性价格调查数据，通常与直接测量价格具有相似的准确性。该数据集为研究人口对地方性价格冲击敏感且传统数据不可得的地区的本地价格动态提供了新的机遇。