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Urban blight is a complex problem that has been challenging for cities in the United States "Rust Belt" region for many decades. However, in the wake of the real estate and financial crisis, it is also a growing challenge for urban communities in many states such as California, Arizona, Nevada, and Texas. Detroit was particularly hit hard, where more than 40,000 blighted structures were identified in 2014. To curb blight, the city mobilized the most extensive demolition program in the country. Funded through the Federal Hardest Hit Fund (HHF), the Detroit Demolition Program began in 2014 and has demolished more than 20,800 properties at the cost of over $250 million. Furthermore, during 2009–2015, the city demolished 11,400 structures with hazardous materials such as asbestos. In this article, we assess the impacts of demolitions on the value of neighboring properties using a Repeat Sales (RS) regression approach. Specifically, we use housing sales price information from 2009 through 2019 to construct real estate price indices. We also rely on information from the 2009 Detroit Residential Survey to differentiate by dilapidation and blight levels before the start of the program. On average, blight removal through the demolition program does not appear to have been capitalized into the residential property prices. However, when considering the effect of ex‐ante program property characteristics, we find a modest positive effect of demolitions on property prices in areas with a low level of blight before the demolitions. Given the magnitude of the observed effect and the high costs associated with the demolition program, our results highlight the need for further research on alternative blight removal strategies that might provide a more cost‐effective solution to this urban challenge. [ABSTRACT FROM AUTHOR]

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]

The purpose of this article is to evaluate the degree to which the demolition of low-quality structures affects property tax compliance in Detroit. During the real estate crisis, the rate of property tax delinquency in the city exceeded 50%. The demolition of dilapidated structures could lead to improvements in tax compliance in two ways. The first is through an amenity effect: removal of blighted structures improves the neighborhood and thus may increase the likelihood that neighbors pay their property taxes. The second is via the existence of a peer effect in property tax compliance decisions. We use a 6-year panel database to examine the degree to which demolitions affect nearby residential property tax delinquency. Even though we are unable to disentangle the amenity and peer effects, our analysis shows that when a dilapidated property is demolished, tax delinquency within the neighborhood is reduced, providing evidence that demolitions improve tax compliance. [ABSTRACT FROM AUTHOR]

The fly‐in/fly‐Out (FIFO) or, drive‐in/drive‐out (DIDO) labour system is a long‐distance commuting work arrangement to attract workers towards remote mineral or fossil fuel extraction areas, where they work in shifts and then return to their usual place of residence located in a different region. Along with more and cheaper transportation alternatives, the use of FIFO/DIDO systems have importantly increased in last decades around the world, which has translated to FIFO/DIDO systems operating even when already established cities are present in extractive regions. This paper uses the case of Chile, one of the most important mining countries in the world, to explore whether and in what extent these labor systems influence wage compensations. We find that FIFO/DIDO commuters obtain an average wage compensation of 2.4 per cent per commuted hour. [ABSTRACT FROM AUTHOR]

This article evaluates economies of scale in local public spending in Chile, emphasizing the country's geographical features and high fiscal heterogeneity. We leverage balanced panel data for ten years and 307 municipalities in order to estimate the population level at which a reduction in the average cost of local public goods provision occurs and to differentiate between levels of market potential. We follow a theoretical model of cost efficiency that considers spatial interactions and spillover effects among neighboring jurisdictions. Our findings suggest that Chilean municipalities reach an optimum population level at around 700,000 inhabitants, which is high considering that only two cities qualify. When differentiating for levels of economies of scale according to levels of market potential, municipalities with a low potential reach their optimum at around 28,000 inhabitants, those with a medium potential reach it at approximately 124,000, and those with a high potential reach it at approximately 680,000. • Few cities reach Economies of scale in local public spending in Chile. • First nature influences the distribution of population and Economies of Scale. • Optimum level of population varies according to the market potential of each city. • Policies must consider the effect of first nature on population distribution. [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]

We explore how spatial interaction affects the strategic use of municipal income when deciding between 1) an optimal long-run expenditure strategy versus 2) using the current income to finance current activities, a phenomenon known as the permanent income hypothesis. Even when this hypothesis is grounded in temporal logic, insufficient attention has been given to the impact of spatial dependence on this type of budget decision. Therefore, we present two reasons why spatial interaction adds new insight to this discussion. First, subnational governments located inside larger functional areas have lower average costs due to the population concentration, allowing for coordination between jurisdictions to achieve more power of negotiation and to potentially exploit economies of scale. Second, local government decision-making is not independent of other jurisdictions as municipalities would constantly evaluate the others' actions regarding local tax effort, spending, and debt. While this spatial consideration remains a challenge for theoretical modeling, we offer empirical evidence to evaluate how robust the permanent income hypothesis is when geography is incorporated. Our empirical approach uses dynamic panel data with spatial dependence on debt, expenditure, and the error term. To evaluate our hypothesis, we exploit panel data from 320 Chilean municipalities between 2008 and 2020 and use two sources of income: non-matched grants via mining windfalls and horizontal fiscal transfers among cities. The evidence indicates that jurisdictions make backward-looking decisions regarding spending; that is, there are no significant differences between the short and long run. The results for debt, however, are not robust. Policy pertaining to the use of public resources should consider the spatial dependence between municipalities which should be a crucial factor in budgetary decision-making. • We analyze the permanent income hypothesis when geography is incorporated. • We pursue the causal effect of horizontal transfers and mining windfalls on budgetary decisions. • Jurisdictions make backward-looking decisions regarding spending. • Spatial dependence between municipalities is a crucial factor in budgetary decisions. • Results call for policies regarding the use of public resources considering spatial dependence. [ABSTRACT FROM AUTHOR]

ABSTRACT In this paper, we estimate the size of the wage premium necessary to compensate for remoteness incurred by workers compared to the city size productivity effects. We construct five urban hierarchy tiers for cities in Chile based on their level of remoteness from the urban system. We then contrast the effect generated by these variables on worker wages. We report a positive gradient of wages the higher the size of the urban tier and a loss in wages that can reach 35 percent for more remote cities. [ABSTRACT FROM AUTHOR]

This article discusses the relation between the Municipal Common Fund (Fondo Común Municipal, FCM) and the convergence in municipal income in Chile between 2001 and 2011. Using quasi experiments and dynamic equations, we demonstrate that this decentralization instrument does not have a significant effect on the speed of convergence. The weak development of decentralization and the low incentives for municipalities to obtain their own sources of financing could promote strategic behaviors that distort the redistributive effect of the FCM for municipalities. That fact would decrease the impact of the FCM in reducing regional disparities in Chile. [ABSTRACT FROM AUTHOR]

This paper attempts to identify the existence of displacement in Mexico caused by drug-related violence. We identify two types of migrants: (i) migrants moving from nonviolent to violent states, driven by better economic opportunities and less expensive cost of living at destination and (ii) migrants moving from violent to nonviolent states: they still migrate even if the cost of living at destination is more expensive and economic opportunities are lower. Our hypothesis is that for the second type, migrants are fleeing from violence, and are willing to sacrifice economic opportunities in order to gain safety. For instance, when migrants move from nonviolent to violent states, they demand a salary 25% greater in order to increase the odds of migration in 10%. On the contrary, when migrants move from violent to nonviolent states, they only demand an increase in their salary of 15%. [ABSTRACT FROM AUTHOR]

Urban sustainability and sustainable mobility have become the central focus of sustainable development initiatives. The city of 15 models seeks to ensure that urban development is sustainable. This paper evaluates the current state of mobility and the use of sustainable transport in the specific context of the city of Antofagasta, which, due to its characteristics of urban expansion and its mining activity, has been considered an international reference case. In particular, we study how the current urban structure shapes the city's travel patterns and identify opportunities for public policy actions to focus their investment and urban intervention efforts on the essential aspects that make it possible to achieve 15- or 20-min territories. The results reveal the need for urban development initiatives to focus on improving the supply of goods and services in areas with low installed capacity, promoting the culture of micro-neighbourhoods, and encouraging cycling. In particular, only 10% of trips, for all purposes and all modes of transport, are completed in less than 15 min. And about 58% of trips, for all purposes and all modes, are completed in less than 30 min. In the marginal effects of the multinomial logit model, a one-unit increase in travel time increases the probability of choosing to travel by public transport by 63% and decreases the probability of walking by 41%. [ABSTRACT FROM AUTHOR]

The new economic geography ( NEG) has been tested to explain the spatial concentration of wages in developed countries, but it has not been evaluated for developing countries where the excessive spatial concentration seems to be related with negative consequences on the economic development. This paper covers this gap in the literature estimating by first time a NEG model for a developing country such as Chile, pursuing two research question: (1) Can the NEG explain the spatial distribution of wages in a developing country as Chile?; and (2) How can the NEG be used to infer information about the future level of spatial concentration of wages in Chile? The results suggest that the case of Chile is poorly explained by the NEG and even higher level of spatial concentration should be expected in the future. These results indicate that the empirical application of NEG is not trivial for developing countries, and some considerations such as inclusion of the first nature or analysis at micro data level must be incorporated by future researches. [ABSTRACT FROM AUTHOR]

The aim of this paper is to build, for the first time, a spatial housing price index for the Chilean communities. The first step is to recover hedonic prices of three housing attributes by estimating a mixed index model using a generalised method of moments ( GMM) procedure. Second, a censored almost ideal demand system is estimated to build expenditures for every community and to compare them among different spatial units, while maintaining a constant utility level. Using micro data from the 2009 CASEN survey, we show that there are important differences in the expenditure of a consumer in Santiago to access the same level of welfare in another community in the country and there are important differences in housing prices among Chilean communities [ABSTRACT FROM AUTHOR]

The aim of this article is to develop a methodology for a spatial or regional cost index of housing that considers spatial differentials across regions. Using microdata from the Chilean survey CASEN 2003, it is showed that a spatial or regional housing price index based on the weighted mean or the estimators of hedonic price equations might lead to biased results due to spatial heterogeneity. The potential bias is reduced by matching the houses in a region with a clone in the Metropolitan Region, according to own and neighbors' characteristics using propensity scores. As a result a very different pattern of spatial cost of housing arises. Finally, using a Fisher ideal price index, the paper proposes a spatial or regional cost index of housing that shows price differences for homogeneous houses across regions. [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]