Monthly food price estimates by product and market - Armenia

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: Lori, Ararat, Aragatsotn, Tavush, Gegharkunik, Shirak, Kotayk, Syunik, Armavir, Vayotz Dzor, Yerevan, 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，并且仅以综合水平进行编制。这可能导致对农村或贫困地区的实际价格趋势反映不足，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。估计值是通过机器学习方法生成的，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。该数据集为研究人口对局部价格冲击敏感的地区以及传统数据不可用的地区的本地价格动态提供了新的机遇。
此外，本数据集还提供了涵盖本建模练习所有国家的按月食品价格通胀估计值（所有数据中可用的食品产品汇总）。
地理覆盖范围说明
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数据涵盖以下次国家级区域：洛里、阿拉特、阿拉加茨克、塔武什、盖加赫尼克、希拉克、科塔伊克、苏尼克、阿尔马维尔、瓦约茨多兹、叶里温、市场平均价。