Abstract
The chapter reports the results of research whose objective involved the analysis of the time-frequency waveforms representing variables affecting the residential construction market. The investigation of the time and frequency characteristics of the time series provides the identification of subannual, seasonal and interannual components in them with the purpose of defining variables describing the stages of the construction process, i.e. variables expressing the number of building permits issued, the number of dwellings under construction and the number of new dwellings completed. The adequate determination of periodic characteristics offers the simultaneous parameterization of subannual, seasonal and long-term variabilities of the resulting waveforms. The proposed algorithm uses combination of FFT, inverse FFT method and subannual spectra peak model. The identification provides adequate analysis of the residential construction market, and at the same time contributes to reducing the information gap in the decision-making process in the field of the housing market for the subjects that operate on the demand and supply sides of this market.
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- 1.
Forms: individual, cooperative ownership, built for sale or rent, intended for rent, communal.
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Mach, L., Paszkiel, S., Grubiak, M. (2021). Subannual, Seasonal and Interannual Variability of Data on Residential Construction Market - Case Study for Poland. In: Paszkiel, S. (eds) Control, Computer Engineering and Neuroscience. ICBCI 2021. Advances in Intelligent Systems and Computing, vol 1362. Springer, Cham. https://doi.org/10.1007/978-3-030-72254-8_30
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