Would you care to elaborate on that? What is the model exactly, from the visualisation I would have guessed it is just an aggregation of real estate prices?
Price data is sparse, often from a small number of sales, and censored when number of sales is smaller than six. So the local price levels, and especially trends are not at all clear from the raw data.
The model has three-level geographical hierarchy from zip-code prefixes, and the local population density as a (hierarchical) covariate. There are also covariances for price level, trend and trend change, and residual model takes number of sales into account and adapts to outliers.
All this helps in getting a better idea of what really happens behind the more or less random individual sales.
Is there anyway we can view the information in English? Google translate is failing to translate it to English. I'm really interested in understanding all the information presented
For a short primer: trendi = trend, hinta = price, laskee = decreases, nousee = increases. "Kannattaako kauppa" can be translated to "Is trade profitable?". So the trend view shows in red where real estate prices are expected to fall in 2016 and in cyan where they are expected to rise.
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[ 3.4 ms ] story [ 34.6 ms ] threadThe model has three-level geographical hierarchy from zip-code prefixes, and the local population density as a (hierarchical) covariate. There are also covariances for price level, trend and trend change, and residual model takes number of sales into account and adapts to outliers.
All this helps in getting a better idea of what really happens behind the more or less random individual sales.
http://louhos.github.io/figs/2015-05-07-asuntohintojen-muuto...