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Fiscal stress is a common condition in shrinking cities such as Detroit. Among the contributing factors, property tax delinquency is a significant consideration due to the unwillingness or inability to pay property taxes. The literature shows that improvement in the quality of public goods and services can increase tax compliance and strengthen the social contract between taxpayers and the local government. Nonetheless, this relationship is unclear in the context of low-income shrinking cities. This article estimates the effects of new publicly provided transportation infrastructure on property tax compliance in Detroit, Michigan. Specifically, we use the announcement of the Qline in Detroit. We compute the effects of the Qline announcement on tax delinquency behavior using a Spatial Difference-in-Difference approach. The results indicate that the announcement of the Qline had an economically and statistically significant impact on tax delinquency for properties within one mile of the nearest Qline station. [ABSTRACT FROM AUTHOR]

This article evaluates the impacts of reductions in residential effective tax rates on homeownership in Detroit, Michigan. The decline in effective tax rates was driven by a citywide reassessment that significantly reduced effective tax rates. These estimates are used to infer the potential impacts of moving from a traditional property tax to a split-rate tax in which the tax rate applied to land is higher than the tax rate applied to structures. Using Detroit parcel-level data over the years 2012–2019, we find that tax reductions resulting from property reassessment generated a very small net decrease in homeownership. Our evaluation suggests that moving to a split rate tax would likely result in a minimal change in the homeownership rate in Detroit. [ABSTRACT FROM AUTHOR]

The β-convergence model is based on the neoclassical framework in which the spatial level of analysis is not relevant. These levels will result in decreasing returns. However, local processes of agglomeration, spillover effects, or other forces could operate differently depending on the level of spatial disaggregation. The primary objective of this article is to observe whether different local, regional, and national convergence behaviors are possible in the European Union (EU). To capture the differences among spatial scales, a multilevel and spatial effects extension of the Solow–Swan theoretical growth model is proposed. The estimations of this model are made using consistent information from Eurostat and Cambridge Econometrics for the period of 2000–2014. A multilevel spatial Durbin model estimator is applied to evaluate the spatial interactions of the regions. The results indicate that a general process of convergence in the EU coexists with intranational processes of divergence, highlighting the relevance of the spatial level of analysis. A final analysis of the impact of the economic crisis over the general behavior has been included verifying that the economic crisis strongly reinforce the weakness of the EU convergence. [ABSTRACT FROM AUTHOR]

Rural leaders can point to low housing costs as a reason that their area should be competitive for business attraction. To what extent do rural housing costs offset transportation and other locational disadvantages in cost structures? The United States lacks information to systematically answer the question. We adapt a strategy employed by The Economist in exploring purchasing power parity: the Big Mac index. We gather information on Big Mac prices with a random sample of restaurants across the contiguous United States. We find that core metro counties exhibit slightly higher Big Mac prices than other counties, but that differences across the balance of the rural–urban continuum code are not significant, implying that costs in a metroadjacent county are not different than areas that are much more rural. We show that some groups of states exhibit lower prices, especially in the southeast. Furthermore, we test for the presence of spatial monopoly and find that distance to other MacDonald’s restaurants has some influence on price. Stores at a greater distance from their competitors tend to charge more, ceteris paribus. We also show our results are consistent with other localized estimates of living costs. Our general findings could help rural decision makers determine whether their area truly holds cost advantages for firms looking to relocate. [ABSTRACT FROM AUTHOR]