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Spenser J. Robinson Andrew R. Sanderford 《The Journal of Real Estate Finance and Economics》2016,52(2):99-116
The statistics, finance, and real estate literature regularly rely on propensity score matching techniques to balance samples of data where randomized treatment assignment is not possible. In the sustainable commercial real estate literature the technique has seen substantive use. To analyze price and rent premiums for green buildings, several studies have used propensity scores to ensure samples that contains eco-labeled and un-labeled buildings reflect a randomized assignment of the treatment. Underpinning the argument for the use of propensity scores is the notion that green buildings contain similar attributes to non-green buildings. However, if the green labels were ignored, would premium buildings be otherwise statistically similar to premium buildings in the market? Here, we analyze a research question focusing on the extent to which propensity scores can predict a green building using the standard building attributes and whether propensity scoring is an econometric necessity? 相似文献
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Gabe Jeremy Robinson Spenser Sanderford Andrew 《The Journal of Real Estate Finance and Economics》2022,64(4):615-645
The Journal of Real Estate Finance and Economics - Drawing on a sample, of U.S. multi-family apartment and school data from across 45 U.S. Core Based Statistical Areas, this paper examines the... 相似文献
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Gabe Jeremy Robinson Spenser Sanderford Andrew 《The Journal of Real Estate Finance and Economics》2022,65(3):384-418
The Journal of Real Estate Finance and Economics - This paper examines U.S. residential consumer willingness to pay for location efficiency, a normative advancement of new urbanism. Drawing on a... 相似文献
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