Monthly energy price estimates by product and market - Nigeria

Abstract
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Energy 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 energy 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.

Geographic coverage notes
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The data cover the following sub-national areas: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Zamfara, Lagos, Adamawa, Market Average

摘要
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能源价格通胀是影响经济政策的关键指标，然而，在危机期间，传统的消费者价格来源往往滞后于实际情况，且仅能提供汇总层面的数据。这可能导致对农村或贫困地区的实际价格趋势的反映失真，而这些地区居住着大量处于脆弱状况的人口。
本数据集包含能源价格估算数据，旨在帮助深入了解传统方法难以正式测量的价格发展趋势。估算数据通过机器学习方法生成，该方法通过补充地方性价格调查，通常能够达到与直接测量价格相当的精确度。该数据集为研究人口对局部价格冲击敏感地区以及传统数据匮乏地区的本地价格动态提供了新的机遇。
地理覆盖范围说明
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数据覆盖以下次国家级别地区：阿比亚、博尔诺、约贝、卡齐纳、卡诺、卡杜纳、戈姆贝、吉加瓦、凯贝里、奥约、赞法拉、拉各斯、阿达马瓦、市场平均价