Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data

The price of market products is the result of the interaction of supply and demand. However, within the same country, prices can vary significantly, especially during crisis periods. The purpose of this study is to identify patterns in the changing spatial dependence of the prices of certain product...

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Bibliographic Details
Published in:Forecasting 2023-03, Vol.5 (1), p.102-126
Main Authors: Timiryanova, Venera, Lakman, Irina, Prudnikov, Vadim, Krasnoselskaya, Dina
Format: Article
Language:English
Subjects:
Autocorrelation
average price
Big Data
Consumer Price Index
Electronic data processing
Methods
Price levels
Prices
Public domain
Regions
Researchers
Seasonal variations
spatial autocorrelation
Spatial dependencies
spatial distribution of prices
spatial variation
Tax services
Trends
Citations: Items that this one cites
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Summary:The price of market products is the result of the interaction of supply and demand. However, within the same country, prices can vary significantly, especially during crisis periods. The purpose of this study is to identify patterns in the changing spatial dependence of the prices of certain product categories, namely pasta, potatoes, sugar, candies, poultry and butter. We used daily data from 1 January 2019, to 31 March 2022, and analyzed two important indicators: spatial variation and spatial autocorrelation of average daily prices. The analysis showed that spatial dependency changes over time and follows its own pattern for each product category. We recognized cyclic changes in spatial autocorrelation and noticed the effect of legislative restrictions on spatial correlations. It has been shown that the spatial variation of prices and spatial autocorrelation can change in different directions.
ISSN:2571-9394
2571-9394
DOI:10.3390/forecast5010004