Regional Economic Prediction Model and Empirical Research Based on Big Data Technology

Abstract

In order to test the prediction effect of big data technology on regional economy, this paper uses Engle-Granger test to explore the relationship between house prices in Xiangyang City and big data represented by search index. This paper selects the house price data from April 2015 to February 2020, and uses the Baidu Index with a correlation coefficient greater than 0.5 to build a search index, so as to test it empirically. The empirical results show that big data has a strong prediction for house prices in small and medium-sized cities, and the search index constructed by the weight of correlation coefficient is better.