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

Forecasting

article

Venera Timiryanova¹  Irina Lakman¹  Vadim Prudnikov¹  Dina Krasnoselskaya¹ 

[1] Institute of Economics, Finance and Business, Ufa University of Science and Technology;Institute of Business Ecosystems and Creative Industries, Ufa State Petroleum Technological University

关键词: spatial distribution of prices;    spatial variation;    spatial autocorrelation;    average price;   

DOI  :  10.3390/forecast5010004

学科分类：陶瓷学

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY