Regional Science and Urban Economics最新文献

A substantial literature demonstrates that zoning restrictions on building height or density lower supply and increase housing prices. However, negative externalities due to household preferences for lower neighborhood density could justify restrictions on private developers. Thus building density in a laissez-faire city may be above the welfare maximizing level. The potential external costs of height and density are tested here and found to be substantial. Increased building separation appears to mitigate the external cost of height. This implies that some level of density or floor regulation (FAR) may be welfare-enhancing, and that the gap between price and marginal construction cost may overstate the social cost of zoning because households value lower density. The analysis considers residential density and not employment density which can give rise to other types of externalities.

This paper studies gender and racial disparities in altruism among social network members who are endogenously linked. We specify group (gender or race) specific altruistic interactions models, as well as intra- and inter-group altruistic interactions models, to capture the heterogeneous patterns of altruism associated with the characteristics of two individuals in pairs. We apply the models to the Add Health data to identify altruism and social interaction effects on academic achievement and smoking behaviors among adolescents. The results indicate that females are generally more altruistic than males, and whites appear to be the most altruistic racial group. We also find that blacks exhibit spiteful effects towards other black students who are considered to “act white.”

Regional exposure to Chinese import competition has often been linked to support for the Leave option in the 2016 UK EU membership referendum. Looking at 143 harmonised International Territorial Level 3 (ITL3) regions covering England and Wales, and using data on the density of online social ties between them, I show that regional support for leaving the EU was also associated with exposure in socially connected regions. I first delineate 18 commuting zones based on interregional flows over three Census years. For each region, I then construct a measure of own exposure to Chinese import competition and a measure of exposure in a set of social neighbours located outside its commuting zone. Exploiting variation within commuting zones, and using an instrumental variable approach, I find that the two measures have comparable positive effects on the regional share of the Leave vote. In a series of checks, I do not find evidence that the effect of social neighbours’ exposure is driven by an economic channel or a relationship between import competition and social ties. I also corroborate the regional results using survey data on vote choice. I interpret these findings as indicative of social spillovers between local labour markets: information flows from social neighbours are a likely channel behind the estimated spillover effects on voting outcomes.

Congestion is one of the most challenging issues of urban agglomeration. Congestion costs are higher than socially optimal levels, and more information is needed about the key parameters required to design optimal policies. This paper exploits an exogenous reduction in for-hire vehicle supply in New York City to estimate their effect on travel speed and document substitution patterns to other transportation modes. A 9.1 percent decrease in taxis is associated with increased travel speed by 0.45 min per mile, a 7.2 percent increase. Consumer surplus gains from increased speed fade as waiting times increase and people switch to other transportation modes.

This paper studies an Education Fee Reduction and Exemption Program for preschool childcare in Jinan, China, to explore the benefit incidence among different stakeholders by observing how housing prices and rents change in response to this program and by employing a method of difference-in-differences combined with boundary discontinuity. The empirical findings indicate that the housing prices in the experimental area rose by 5–7 percent while the rents rose by 10–13 percent due to the capitalization effects of this equalization program. Falsification tests are conducted using artificial boundaries and fake policy implementation dates. A back-of-the-envelope welfare analysis demonstrates that a considerable portion of the program's benefits is offset by house price increases for new home buyers and rent increases for tenants, with significant distributional implications for different stakeholders.

This paper proposes estimating higher-order spatial autoregressions with spatial autoregressive errors and heteroskedastic error innovations without searching for instruments by explicitly exploiting the endogeneity of spatial lags in the outcome and error equations. The resulting estimator is shown to be consistent and asymptotically normal. Monte Carlo experiments demonstrate that it possesses better finite-sample properties than existing estimators. An empirical study of venture capital funding for biotechnology firms illustrates that spatial correlation stretches as far as 20 miles and that the number of venture capital firms in close proximity has stronger impact on the level of funding than as reported in an existing study.

The contribution of this paper is twofold. Firstly, it introduces novel regression models that combine two important areas of the methodological development in panel data analysis, namely a varying coefficient specification and spatial error dependence. The former allows relatively flexible nonlinear interactions; the latter enables spatial correlations of the disturbance and thus differ significantly from the other random effect models in the literature. To estimate the model, a new estimation procedure is established that can be viewed as a generalization of the quasi-maximum likelihood method for a spatial panel data model to the well-known conditional local likelihood procedure. Novel inference methods, particularly variable selection and hypothesis testing of the parameter constancy, are introduced and are shown to be effective under the complex spatial error dependence. Equally importantly, this paper makes a substantial contribution to the understanding of financing and expenditure for health and social care. In particular, we empirically analyze and explain the effects of political ideologies on the local fiscal policy in England, especially the expenditure on mental health services.

We present an urban land use model with land tenure insecurity and information asymmetry regarding risks of contested land ownership, a very common issue in West African cities. A market failure emerges assellers do not internalize the impact of their market participation decision on the average quality of traded plots, which in turn affects other sellers and buyers’ decisions. The equilibrium is suboptimal and has too many transactions of insecure plots and too few transactions of secure plots. This market failure can be addressed when agents trade along trusted kinship lines that discourage undisclosed sales of insecure plots. Such kinship matching is an important feature of West African societies, including on the market for informal land, as illustrated by a unique survey administered in Bamako, Mali. In the model, the extent to which the market failure is addressed increases with the intensity of kinship ties. When sellers also have the possibility of registering their property right in a cadastre, this not only further attenuates information asymmetry but also helps reduce risk. We find complementarity between kinship matching and registration: As transactions along trusted kinship lines tend to involve plots that are more secure on average, kinship matching makes registration better targeted at insecure plots traded outside kinship ties.In this context, a partial registration fee subsidy can bring the economy to the social optimum.¹

We exploit the differential responses of Airbnb hosts to two distinct policy interventions in Berlin to shed light on the optimal design of policies targeting short-term rental platforms to mitigate rental market inflation. The first intervention, which affected commercial listings, significantly impacted long-term rental markets, unlike the second intervention, which mainly affected non-commercial listings. Leveraging these policy variations, we estimate the marginal impact of Airbnb on rental supply and rents. Each additional commercial Airbnb listing displaces 0.23 to 0.37 rental units and increases rent per square meter by 1.3 to 2.4 percent. This underscores the importance of targeting commercial listings when regulating short-term rental markets.