Housing price prediction in real estate industry is a very difficult task, and it has piqued the interest of many researchers over the past years in the quest to look for a suitable model to predict the price of property. For this reason, this paper aims to review the literature on the ...
Danielle Hale, chief economist for real estate information company realtor.com, explains that market value is based on the expectation that the property would sell during the period the value is calculated. “When people think about home values, they often mean, ‘This is the...
Review the sale price of similar homes in the area that sold recently to help you determine how much you feel the home is worth. Your agent can put together a list of real estate comparables, or comps, which shows how much buyers paid for similar, recently sold properties in the same ar...
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Out of 5 recommendations produced, users were interested in at least 3. A separate house price prediction model was also developed base on neural networks and classical regression technique. This model implemented to assist users in making an informed decision regarding prospects of real estate ...
With two-stage least squares and LS models, this paper investigates the effects of real estate investment and loan preference on national happiness with data of 31 provinces in China from 2000 to 2018. The conclusions are that a rapid growth of real estate investment has significant adverse effec...
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