Scale, Factor Analyses, and Neighborhood Effects

By Ron Johnston, Kelvyn Jones, Simon Burgess, C. Propper, R. Sarker, A. Bolster. 2004

72 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/46b44a4f7d447bd2bc3d4a1bd49a74c9eecdd947

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. A. Bolster
2. David Manley
3. Isabelle Thomas
4. Ron Johnston
5. Simon Burgess
6. Kelvyn Jones
7. R. Sarker
8. C. Dujardin

In Sociology and Political Science

1. A. Bolster
2. I. brunton-smith
3. David Manley
4. Isabelle Thomas
5. Ron Johnston
6. Simon Burgess
7. Kelvyn Jones
8. R. Sarker

In Transportation

1. David Manley
2. Isabelle Thomas
3. C. Dujardin
4. H. Selod

Citations in the corpus

• Neighbourhoods, Households and Income Dynamics: A Semi-Parametric Investigation of Neighbourhood Effects (2004, methodology): “We construct a composite index of area characteristics at each of the spatial scales using principal components analysis (see Johnston et al 2004).”
• Residential Segregation and Unemployment: The Case of Brussels (2008, background): “…considering all these characteristics together into a single regression may cause collinearity problems (making parameter values and significance levels unstable) as many indicators of neighborhood composition are highly inter-correlated (O’Regan and Quigley, 1996; Johnston et al, 2004).”
• Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour (2017, methodology): “…can be assessed using a procedure introduced separately by Riddell (1970) and by Sanint (1982; see also Massy 1965), but little used since (see Johnston et al. 2004),6 in which a reconstituted standardised regression coefficient for each independent variable can be derived by summing the…”
• DO NEIGHBORHOODS GENERATE FEAR OF CRIME? AN EMPIRICAL TEST USING THE BRITISH CRIME SURVEY* (2011, background): “The component structure is similar to that reported in previous factorial ecology studies in the United Kingdom (Johnston et al., 2004; Propper et al., 2005) and falls largely in line with the classifications identified in social disorganization theory.”
• Classification Approaches in Neighborhood Research: Introduction and Review (2011, background): “5See, for example, Morenoff and Sampson (1997), Wyly (1999), Johnston et al. (2004), and Vicino et al. (2007). but also political campaigns (electoral and otherwise) and the siting of public or social service outlets.”