2005
DOI: 10.3368/le.81.3.379
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How Does a New Sports Stadium Affect Housing Values? The Case of FedEx Field

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Cited by 146 publications
(187 citation statements)
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“…In the case of Max-SchmelingArena, effects are low anyway. In the case of Velodrom, effects are not very different from the Washington FedEx Field which has no special architectural features and which was examined by Tu (2005). However, the maximum capacities of Max-Schmeling-Arena and Velodrom of around 10000 spectators are small compared to FedEx field with almost 80000.…”
Section: Resultsmentioning
confidence: 99%
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“…In the case of Max-SchmelingArena, effects are low anyway. In the case of Velodrom, effects are not very different from the Washington FedEx Field which has no special architectural features and which was examined by Tu (2005). However, the maximum capacities of Max-Schmeling-Arena and Velodrom of around 10000 spectators are small compared to FedEx field with almost 80000.…”
Section: Resultsmentioning
confidence: 99%
“…However, we cannot state definitively whether it was the investment in sophisticated architecture that generated the positive effects, as we cannot separate effects of architecture from those of the original functions of sports facilities. Nevertheless, due to the limited size of the study arenas, it is unlikely that positive impacts are caused mainly by an increase in economic activity within the neighborhood, as argued by Tu (2005 …”
Section: Resultsmentioning
confidence: 99%
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“…Since it was first emerged in the econometric literature, HPM has been used extensively to construct house price indices (Can and Megbolugbe, 1997;Mills and Simenauer, 1996) and investigate household demand for residential property attributes that include among others, school quality (Mitchell, 2000), public transport (Hess and Almeida, 2007), woodland/urban forest (Powe et al, 1997;Tyrvainen, 1997), golf courses (Do and Grunditski, 1995), environmental quality (Jim and Chen, 2009;Lansford and Jones, 1995) and sports arenas (Ahlfeldt and Maennig, 2010;Tu, 2005).…”
Section: Geographically Weighted Regression (Gwr) Approachmentioning
confidence: 99%