Informing Policy-Making at Sub-Local Authority Spatial Levels: Using Small Area Micro-Data from the 2001 Census

This article discusses how the release of small area microdata (SAM) from the 2001 UK Population Census could help provide better information in the policy-making process at sub-local authority spatial levels. An experimental set of SAM from the 1991 Census, provided by National Statistics, was used to develop a methodology which can provide SAM estimates of the effects of area at ward level, and can separate these spatial effects from compositional influences due to characteristics of the local area population. These SAM-based results appear to be at variance with census tabular data. It is concluded that 2001 Census SAM could provide an important further source of information for improved policy and target setting at the local area level.     

Distinctly Neoliberal: A Latent Profile Analysis of Neoliberal Ideology and Its Associations with Sociopolitical Actions and Sexual Attitudes

Social Justice Research - Scholars warn that neoliberalism erodes investment in the well-being of others by prizing the self-interested individual. To empirically investigate this claim, we...     

Resisting Broken Windows

Political Behavior - Concurrent housing and opioid crises have increased exposure to street-crime, homelessness and addiction in American cities. What are the political consequences of this...     

Market factors affecting spatial heterogeneity among urban neighborhoods

Abstract

Institutional factors perpetuating segregation in urban neighborhoods— redlining by lenders and insurers, steering by brokers, and discrimination by owners—have attracted much attention recently. But natural market forces (demand, supply, and equilibrium price adjustment) can also create neighborhood heterogeneity in income, race, and housing characteristics.

This article establishes a framework to examine the market forces that create spatial clustering of households. On the demand side, differences in resident preferences and incomes lead to clustering; on the supply side, differences in cost functions, created by market specialization or location‐specific features, are important. Equilibrium price adjustment reinforces tendencies toward heterogeneity and leads to differential affordability patterns. Bid‐rent and other models of residential location, discrimination in urban housing markets, and the Tiebout model are discussed. A research agenda is proposed to measure neighborhood heterogeneity, isolate its influence on educational and employment opportunities, and evaluate policies for ameliorating its adverse effects.