نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
In this study, we employ hedonic modeling to explain price of land, utilizing a unique dataset for Tehran. The dataset contains actual transaction records for Tehran's Zone 8 in 2010. Our results are consistent with the urban economic theories: Variables such as lot size, social status of neighborhood and permitted building volume have positive effects on the price of land, but the distance of land from places such as parks and highways has a negative effect on it. The parametric estimators are also compared to more flexible semi parametric estimators which do not improve the results.
کلیدواژهها English
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