The aim of the research was to obtain a focused overview of the housing market in Celje and optimize the existing housing valuation model. For this purpose, we processed open-access GURS data on real estate transactions for residential properties in the Celje area for the year 2019. The housing valuation was calculated using the model developed by the Real Estate Valuation Office at GURS. By leveraging the results of the survey and the exploratory regression method, we included fewer input variables in the simulation of housing values according to the GURS model for the Celje area. Our findings indicated that by testing the quality of the simulated model against the existing real estate valuation model for housing in Celje, the estimated housing values from both models closely aligned with their actual market values. This statistical analysis confirmed that we successfully optimized the existing model with a reduced number of input variables.
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