Research On The Impact Of Internet Public Opinion On Housing Prices

Commercial housing is related to the people's livelihood,a large number of upstream and downstream industries,and all aspects of ordinary people's lives and investment.Research on the healthy development of the housing market has a positive effect on the healthy operation of my country's economy.At the same time,since commercial housing has both the attributes of consumer goods and investment goods,the factors affecting commercial housing are also complex and diverse.With more and more studies on the macroeconomic indicators and policy interpretations of the commodity housing market's "both volume and price rising" and "volume shrinking and price falling",this article analyzes the development of the commodity housing market from the perspective of behavioral economics.Participants in the commercial housing market serve as the basis for influencing market price fluctuations.In the Internet era,their psychological expectations will inevitably be affected by external factors such as online public opinion.From the perspective of online public opinion,this paper analyzes the formation of market participants' price expectations and the degree of influence of online public opinion on housing prices and symmetry issues,and attempts to explore the role of online public opinion in the internal mechanism of housing price fluctuations.Aiming at the hot Internet events and hot keywords in the housing market in Xi'an,Shaanxi Province,this article builds a Python text collection program to crawl news reports about the housing market,and analyzes the attention and tendency(tone)of the text based on the sentiment dictionary.Based on the expectation theory,it analyzes the price expectation types of the main participants in the housing market and various factors that affect price expectation,and analyzes the formation mechanism of price expectation from the formation conditions and ways of price expectation,and introduces online public opinion into an improved price expectation contagion model.Calculate the dynamic relationship between online public opinion and housing market price expectations.Then,based on the price expectations existing in the housing market,analyze the impact of price expectations on market prices from the transmission of price expectations between individuals,and according to the difference in the formation mechanism of price expectations,incorporate adaptive and rational participants in the market into commercial housing The price mathematical model verifies the impact of housing market price expectations on housing prices,and analyzes the specific impact of market participants' behavioral parameters on housing prices through MATLAB simulation.Finally,construct an empirical test model that includes the text attention and tone of online public opinion,other basic economic factors and price expectations as intermediary variables,and conduct a quantitative study on the specific impact of online public opinion on housing prices.The results show that the transmission effect of online public opinion attention on housing prices is affected by the stage of the market,and the degree of influence is different;the changes in the tone of online public opinion reflect the phase characteristics of policy control,and the positive and negative tone of the housing price The effects are positive and negative,but the degree of influence is asymmetrical and gradually weakens as the cycle becomes longer;before and after the addition of economic fundamental factors,the influence of online public opinion on housing prices is basically the same.Accordingly,corresponding countermeasures and suggestions are put forward from the perspective of online public opinion to reasonably control the housing market price.The research work of this article is helpful to clearly understand the operating rules of the commercial housing market in Xi ' an,Shaanxi Province,provide more explanation angles for issues such as the irrational rise in housing prices and market demand,and provide the government,real estate companies and market demanders with behavioral decisions.For more reference,maintain the stability of housing prices.