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How large is congressional dependence in agriculture? : Bayesian inference about "scale" and "scope" in measuring a spatial externality

Holloway, Garth John; Lacombe, Donald J.; Shaughnessy, … - In: Journal of agricultural economics 65 (2014) 2, pp. 463-484

Persistent link: https://www.econbiz.de/10010395027

A Bayesian spatial individual effects probit model of the 2010 UK general election

Jensen, Christa D.; Lacombe, Donald J.; McIntyre, Stuart - 2012

Persistent link: https://www.econbiz.de/10009573918

Using Bayesian posterior model probabilities to identify omitted variables in spatial regression models

Lacombe, Donald J.; Lesage, James P. - In: Papers in regional science : the journal of the … 94 (2015) 2, pp. 365-383

Persistent link: https://www.econbiz.de/10011545150

Bayesian estimation of the spatial Durbin error model with an application to voter turnout in the 2004 presidential election

Lacombe, Donald J.; Holloway, Garth John; Shaughnessy, … - In: International regional science review 37 (2014) 3, pp. 298-327

Persistent link: https://www.econbiz.de/10011308150

A hierarchical SLX model application to violent crime in Mexico

Lacombe, Donald J.; Flores Márquez, Miguel - In: The annals of regional science : an international … 58 (2017) 1, pp. 119-134

Persistent link: https://www.econbiz.de/10011864471

Local and global spatial effects in hierarchical models

Lacombe, Donald J.; McIntyre, Stuart - In: Applied economics letters 23 (2016) 16/18, pp. 1168-1172

Persistent link: https://www.econbiz.de/10011701771

Sustainable technology adoption : a spatial analysis of the Irish Dairy Sector

Läpple, Doris; Holloway, Garth John; Lacombe, Donald J.; … - In: European review of agricultural economics : ERAE 44 (2017) 5, pp. 810-835

Persistent link: https://www.econbiz.de/10011783144

Using Bayesian Posterior Model Probabilities to Identify Omitted Variables in Spatial Regression Models

Lacombe, Donald J. - 2012

LeSage and Pace (2009) consider the impact of omitted variables in the face of spatial dependence in the disturbance process of a linear regression relationship. Remarkably, they show that this can lead to a spatial regression model specification containing a spatial lag of the dependent and...

Persistent link: https://www.econbiz.de/10013097958

State exit exams and graduation rates: a hierarchical SLX modelling approach

Hall, Joshua C.; Lacombe, Donald J.; Pokharel, Shree Baba - In: The review of regional studies : a joint publ. of the … 50 (2020) 2, pp. 189-206

Persistent link: https://www.econbiz.de/10012264858

Forecasting China's industrial output using a spatial Bayesian vector autoregressive model

Lacombe, Donald J.; Michieka, Nyakundi M. - In: Growth and change : a journal of urban and regional policy 49 (2018) 4, pp. 712-742

Persistent link: https://www.econbiz.de/10012008754