Monthly food price estimates by product and market - Central African Republic

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: Ouaka, Mbomou, Bangui, Nana-Mambéré, Ouham, Sangha-Mbaéré, Ombella M'Poko, Mambéré-Kadéï, Vakaga, Ouham Pendé, Lobaye, Haute-Kotto, Kémo, Nana-Gribizi, Bamingui-Bangoran, Haut-Mbomou, Market Average

摘要
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食品价格通胀是指导经济政策的重要指标，但传统的消费者价格来源在危机期间往往滞后产生，且仅限于总体水平。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况的人口。
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动态。估算数据通过机器学习方法生成，该方法对持续进行的次国家级价格调查进行补充，其准确性通常与直接测量价格相当。该数据集为研究易受本地价格冲击影响且传统数据不充足的地区的本地价格动态提供了新的机遇。
此外，针对本建模练习所涵盖的所有国家，还提供了涵盖所有食品产品的月度食品价格通胀估算数据汇总。
地理覆盖范围说明
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数据涵盖了以下次国家级地区：Ouaka、Mbomou、Bangui、Nana-Mambéré、Ouham、Sangha-Mbaéré、Ombella M'Poko、Mambéré-Kadéï、Vakaga、Ouham Pendé、Lobaye、Haute-Kotto、Kémo、Nana-Gribizi、Bamingui-Bangoran、Haut-Mbomou、市场平均价。