Using Quantile Smoothing Splines to Identify Employment Subcenters in a Multicentric Urban Area
202 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/b5502a29fa3de77fb5cbf83ef1ad495f7dfb966f
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In Economics and Econometrics
- T. Lester
- Christian L. Redfearn
- Genevieve Giuliano
- A. Agarwal
- Chen Li
- Zhu-Biao Duan
- Daniel P. McMillen
- Miquel-Àngel Garcia-López
Citations in the corpus
- Evolving subcenters: employment and population densities in Chicago, 1970–2020 (2003, methodology): “Craig and Ng (2001) also use a nonparametric employment density function to identify subcenters. They define subcenters to be areas with large employment levels in rings where the estimated density function is rising rather than falling with distance from the CBD. Mu~ niz et al. (2002) follow a simi”
- How Does Transportation Shape Intrametropolitan Growth? An Answer from the Regional Express Rail (2017, unknown): “…thresholds (Giuliano and Small, 1991; Giuliano et al., 2007; Muñiz et al., 2008) and on employment and/or population density peaks (McDonald, 1987; McDonald and Prather, 1994; Sivitanidou, 1996; Craig and Ng, 2001; Muniz et al., 2003; Redfearn, 2007; Garcia-López, 2010; Craig et al., 2016).”
- Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999 (2004, unknown): “For example, Craig and Ng (2001) and McMillen (2001) use nonparametric techniques.”
- Spatial Autocorrelation Or Model Misspecification? (2003, background): “Notable contributions include Craig and Ng (2001), Giuliano and Small (1991), McDonald (1987), and McMillen (2001). 3.”
- Urban Polycentricity and the Costs of Commuting: Evidence from Italian Metropolitan Areas (2010, unknown): “a non-parametric specification (McDonald and Prater, 1994; Craig and Ng, 2001 ).”
- Employment Concentrations in Los Angeles, 1980–2000 (2007, background): “Other approaches include variants on gradient estimation to identify potential centers (Heikkila et al, 1989; Small and Song, 1994), and estimations of spline functions (Baumont et al, 1999; Craig and Ng, 2001; Muniz et al, 2003).”