Пандемия COVID-19 и потребительский спрос: анализ на основе высокочастотных данных // The COVID-19 Pandemic and Consumer Demand: High-Frequency Data Analysis

Алдашев А. // Aldashev А. and Birzhan Batkeyev
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Алдашев А. // Aldashev А.: Kazakh-British Technical University

Economic Review(National Bank of Kazakhstan), 2025, issue 2 Special, 23-24

Abstract: В данной работе авторы проводят анализ влияния локдаунов во время пандемии COVID19 на потребление на высокочастотных данных ресурса geo-analytics.kz. В этих данных доступны транзакции, проведенные через контрольно-кассовые аппараты города Алматы и пригородов, на ежедневной основе и дезагрегированные на уровне полигонов примерно 500 на 500 метров. Данное исследование было проведено в рамках исследовательского гранта, предоставленного Национальным Банком Казахстана. В настоящем специальном выпуске Экономического обозрения Национального Банка Казахстана представлены краткие тезисы доклада, презентованного на конференции. // In this paper, the authors analyze the impact of lockdowns during the COVID-19 pandemic on consumption using high-frequency data from the geo-analytics.kz resource. This data includes transactions conducted through cash registers in Almaty and its suburbs on a daily basis and disaggregated at the level of polygons of approximately 500 by 500 meters. This study was conducted as part of a research grant provided by the National Bank of Kazakhstan. This special issue of the National Bank of Kazakhstan’s Economic Review presents a summary of the report presented at the conference.

Keywords: потребительский спрос; потребление; пандемия; COVID-19; транзакции; высокочастотные данные; consumer demand; consumption; pandemics; COVID-19; transactions; highfrequency data (search for similar items in EconPapers)
JEL-codes: C55 C81 D12 E21 (search for similar items in EconPapers)
Date: 2025
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