Monthly food price estimates by product and market - Congo, Dem. Rep.

Abstract
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Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
This data set includes food price 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.

A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes
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The data cover the following sub-national areas: Haut-Uele, Nord-Kivu, Ituri, Tshopo, Kwilu, Kasai, Sud-Kivu, Kongo-Central, Nord-Ubangi, Sud-Ubangi, Kasai-Central, Bas-Uele, Tanganyika, Lualaba, Kasai-Oriental, Kwango, Haut-Lomami, Haut-Katanga, Maniema, Kinshasa, Equateur, Lomami, Market Average

摘要
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食品价格通胀是制定经济政策的重要指标，但传统消费者价格来源在危机期间往往存在延迟，且仅以汇总形式提供。这可能导致对农村或贫困地区的实际价格趋势反映不足，而这些地区居住着大量处于脆弱状态的人口。
本数据集包含食品价格估算数据，旨在帮助深入了解传统方法无法正式测量的价格发展。估算数据采用机器学习方法生成，该方法对持续的次国家价格调查进行推断，其准确度通常与直接测量价格相当。该数据集为研究人口对局部价格冲击敏感且传统数据不可得的地区的局部价格动态提供了新的机会。
此外，本数据集还提供了涵盖本次建模练习所有国家的月度食品价格通胀估算数据（所有数据中的食品产品均进行汇总）。
地理覆盖范围说明
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数据覆盖以下次国家地区：Haut-Uele、Nord-Kivu、Ituri、Tshopo、Kwilu、Kasai、Sud-Kivu、Kongo-Central、Nord-Ubangi、Sud-Ubangi、Kasai-Central、Bas-Uele、Tanganyika、Lualaba、Kasai-Oriental、Kwango、Haut-Lomami、Haut-Katanga、Maniema、Kinshasa、Equateur、Lomami、市场平均价