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Evaluating eigenvector spatial filter corrections for omitted georeferenced variables

Griffith, Daniel A.; Chun, Yongwan - In: Econometrics : open access journal 4 (2016) 2, pp. 1-12

The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression analysis are introduced as additional...

Persistent link: https://www.econbiz.de/10011506413

Spatial autocorrelation in spatial interactions models : geographic scale and resolution implications for network resilience and vulnerability

Griffith, Daniel A.; Chun, Yongwan - In: Networks and spatial economics : a journal of … 15 (2015) 2, pp. 337-365

Persistent link: https://www.econbiz.de/10011309606

Uncovering a positive and negative spatial autocorrelation mixture pattern : a spatial analysis of breast cancer incidences in Broward County, Florida : 2000-2010

Hu, Lan; Chun, Yongwan; Griffith, Daniel A. - In: Journal of geographical systems : geographical … 22 (2020) 3, pp. 291-308

Persistent link: https://www.econbiz.de/10012237515

A Moran eigenvector spatial filtering specification of entropy measures

Griffith, Daniel A.; Chun, Yongwan; Hauke, Jan - In: Papers in regional science : the journal of the … 101 (2022) 1, pp. 259-279

Persistent link: https://www.econbiz.de/10012821163

Some useful details about the Moran coefficient, the Geary ratio, and the join count indices of spatial autocorrelation

Griffith, Daniel A.; Chun, Yongwan - 2022

Persistent link: https://www.econbiz.de/10013429021