Newly-built housing price index calculation method, terminal equipment and storage medium

Abstract

The invention relates to a newly-built housing price index calculation method, terminal equipment and a storage medium. The method comprises the steps that S1, creating a basic data matching databaseaccording to collected historical residence basic data; S2, collecting newly-built house record information, matching the collected newly-built house record information with contents in the basic datamatching database, and extracting feature data in the newly-built house record information; S3, performing classification and counting according to the extracted data; S4, calculating the price index, the weight and the index contribution of each project under each area segment according to the classified and counted data; S5, calculating the price index of each area segment according to the index contribution of each project; S6, according to the price index of each area section, calculating the price index of each newly-built house in a whole city. Each price index calculated by the invention is completely based on the real transaction price, and the obtained price index can truly reflect the market condition.

Description

technical field [0001] The present invention relates to the field of house price index calculation, in particular to a new house price index calculation method, terminal equipment and a storage medium. Background technique [0002] The existing real estate control objectives are to stabilize land prices, housing prices, and expectations. One of the most important links in the regulation of the real estate market is the change of housing prices. The most intuitive indicator to reflect changes in housing prices is the change in the housing price index. Among them, the commodity housing price index mainly includes the new commodity housing price index and the second-hand housing price index. [0003] my country's new commercial housing has a remarkable feature, that is, "comparable with the same quality". The so-called "comparable with the same quality" means that most of the newly-built commercial housing is a building structure, and a residential area is developed in a pie...

AI Technical Summary

Problems solved by technology

The simple weighted average is of course the most primitive calculation method, which cannot adapt to the changing market demand, and the calculated price index is even seriously out of touch with the trend of the real estate market or even deviates from it

Compared with the "repeated transaction method", the "heterogeneous price method" has certain advantages in theory. However, because the hedonic price method requires the collection of data reflecting as many as a dozen or even dozens of house characteristic variables for each property, Moreover, in different cities or in different development stages of the same city, the characteristic variables of houses vary greatly, so the house price index based on the hedonic price method often encounters many difficulties in practice, and it is not suitable for regular release of house price indexes

For the "repeated transaction method", the Chinese invention patent "CN201710737522.3" proposes a "virtual repeated transaction model", which ignores several important issues: first, the price index of new commercial housing is a reflection of all new commercial housing The index includes not only multi-storey, small high-rise and high-rise, but also villas, super high-rise, etc. The types of residential products covered by its model have limitations, so the price index it reflects has limitations; The price of each house has been determined, and the planning and design of each project and each community is different. The influence of different orientations and locations mentioned in the patent on the price is mostly determined by the developer through his own project considerations. There is uncertainty, so the model used in this patent is not suitable for this; again, this patent uses linear regression and least squares method to fit the price, which is still different from the real transaction price, so it is necessary to extend the sample collection time Only by increasing the sample size can it be as close as possible to the real data, so it is not suitable for real-time calculation of the price index

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