Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas
By Daniel P. McMillen. 2004
141 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1798a499070b4d7f2997d5067f964bde3d8cd37b
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In Economics and Econometrics
- Mark D. Partridge
- M. R. Olfert
- A. Alasia
- R. Bollman
- Kamar Ali
- D. Rickman
- Muhammad Shahbaz
- Mark W. Frank
In Global and Planetary Change
Citations in the corpus
- Estimation And Hypothesis Testing For Nonparametric Hedonic House Price Functions (2010, unknown): “4An alternative way to derive the same estimator is discussed in McMillen (2004a).”
- Geographically weighted regression bandwidth selection and spatial autocorrelation: an empirical example using Chinese agriculture data (2010, unknown): “E-mail: scho9@utk.edu Applied Economics Letters ISSN 1350–4851 print/ISSN 1466–4291 online 2010 Taylor & Francis http://www.informaworld.com DOI: 10.1080/13504850802314452 767 (McMillen, 2004).”
- The Impact of Mixed Land Use on Residential Property Values (2012, unknown): “12This value may seem large, but as the objective is to estimate marginal effects (instead of estimating predictions), the threshold distance should be larger in order to generate plausible estimates (Pagan and Ullah, 1999; McMillen, 2004, 2010).”
- Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation? (2007, background): “…tests will be unable to identify whether the spatial autocorrelation in the residuals is due to spatial heterogeneity in both the specification and explanatory variables, omitted neighboring-county variables, or a process of shocks spilling over to nearby CCSs (also see McMillen 2003, 2004).”