Browsing by Author "Krupka, Douglas J."

Now showing 1 - 5 of 5
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    City Air and City Markets: Worker productivity gains across city sizes.
    (2013-04) Krupka, Douglas J.; Noonan, Douglas S.
    Higher nominal wages in urban areas are well-documented phenomena which imply higher productivity of urban workers. Yankow and Wheeler show that these gains come through a variety of sources including static agglomeration economies and dynamic learning and matching efficiencies in cities. Yet, earlier articles offer little evidence of how the effects of learning and matching on urban wage differentials vary by city size. This article allows for the relative importance of these productivity advantages to differ according to the size of the city and finds significant differences between small, medium, and large cities. We find that learning efficiencies are most important in medium-sized cities, while a mix of learning and matching efficiencies are important in the largest and smallest cities.
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    Determinants of Historic and Cultural Landmark Designation: Why We Preserve What We Preserve
    (2010-02) Noonan, Douglas S.; Krupka, Douglas J.
    There is much interest among cultural economists in assessing the effects of heritage preservation policies. There has been less interest in modeling the policy choices made in historic and cultural landmark preservation. This article builds an economic model of a landmark designation that highlights the tensions between the interests of owners of cultural amenities and the interests of the neighboring community. We perform empirical tests by estimating a discrete choice model for landmark preservation using data from Chicago, combining the Chicago Historical Resources Survey of over 17,000 historic structures with property sales, Census, and other geographic data. The data allow us to explain why some properties were designated landmarks (or landmark districts) and others were not. The results identify the influence of property characteristics, local socio-economic factors, and measures of historic and cultural quality. The results emphasize the political economy of implementing preservation policies.
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    Empowerment Zones, Neighborhood Change and Owner-Occupied Housing
    (2009-07) Krupka, Douglas J.; Noonan, Douglas S.
    This analysis focuses on the evaluation of policies relating to cultural heritage production – a modest discussion in the larger context of sustainable heritage tourism. In particular, a detailed discussion of a landmark preservation policy in Chicago follows.
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    Making -- or Picking -- Winners: Evidence of Internal and External Price Effects in Historic Preservation Policies
    (2011-05) Noonan, Douglas S.; Krupka, Douglas J.
    This article measures the impacts of historic preservation regulations on property values inside and outside of officially designated historic districts. The analysis relies on a model of historic designation to control for the tendency to designate higher-quality properties. An instrumental variables model using rich data on historic significance corrects for this bias. The results for Chicago during the 1990s indicate that price impacts from designation inside a landmark district vary considerably across homes inside the districts. Controlling for extant historic quality, which the market values positively, restrictions apparently have negative price effects on average both within and outside districts.
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    Neighborhood dynamics and price effects of Superfund site clean-up
    (2007-10) Noonan, Douglas S.; Krupka, Douglas J.; Baden, Brett M.
    Numerous hedonic price analyses estimate price effects associated with hazardous waste site remediation or other environmental variation. This paper estimates a neighborhood transition model to capture the direct price effect from Superfund site clean-up and the indirect price effects arising from residential sorting and changes in investment in the housing stock following clean-up. First-difference models of neighborhood change and a national sample are used. This approach fails to find consistent positive direct price effects. Positive indirect effects, however, may arise through residential sorting and neighborhood investment spurred by remediation. The findings can be sensitive to policy endogeneity and model specification.