Browsing by Author "Oba, Tetsuharu"

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    The Many Dimensions of Historic Preservation Value: National and Local Designation, Internal and External Policy Effects
    (Taylor & Francis, 2017) Oba, Tetsuharu; Noonan, Douglas S.; School of Public and Environmental Affairs
    This analysis examines the internal and external policy effects of national and local register programmes for historic preservation. Robust hedonic pricing models are crucial to informing policy proposals and understanding how property markets relate to urban heritage. Estimating a repeat-sales hedonic model with neighbourhood trends and spatial mixed models, novel to this literature, offers a marked improvement in terms of jointly identifying internal and external policy effects, comparing national and local designations, separating policy from heritage effects and estimating models robust to spatial dependence and trends in hedonic prices. Historic designation variables, while often individually insignificant in the model, are always jointly significant in explaining varying appreciation rates. Local districts exhibit no consistent price impacts across the models. Being located inside a national district confers a price premium that increases over time in the preferred model specification, while prices fall in national districts’ buffers after designation. The sensitivity of results to model specification raises questions about alternative approaches to spatial dependence in the data in the urban historic preservation context. Evidence of the influence of historic district designation on property turnover and renovation investments is also examined.
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    The Price of Preserving Neighborhoods: The Unequal Impacts of Historic District Designation
    (Sage, 2020-11) Oba, Tetsuharu; Noonan, Douglas S.; School of Public and Environmental Affairs
    Policies affecting cultural assets are popular yet imperfectly understood tools to shape local economic development. Historic preservation policies, for example, can have markedly different implications for original residents, prospective residents, and developers, even in the same city. Therefore, merely identifying its average effect can obscure important heterogeneity in its impact. This study examines the property value impacts of local and national historic districts across the distribution of property prices and how those differential impacts vary with the restrictiveness of the policy. A quantile regression model identifies the heterogeneity of effects among higher and lower end properties. The results reveal large differences between national and local districts, interior and buffer properties, and for different property values. These findings highlight the importance of and complexity in how housing markets react to attempts to guide local economic development.