Data/hora: 10/06/2024 14:06:04

Provedor de dados: 	31	
País: 	United States	
Título: 	Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States	
Autores: 	Monchuk,   Daniel C.; Hayes,   Dermot J.; Miranowski,   John A.; Lambert,   Dayton M.	
Data: 	2010-05-18	
Ano: 	2010	
Palavras-chave: 	County income growth; Rural development; Spatial bootstrapping.; Community/Rural/Urban Development.	
Resumo: 	This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005. To control for endogeneity we estimate a two-stage spatial error model and infer parameter significance by implementing a number of spatial bootstrap algorithms. We find that outdoor recreation and natural amenities favor positive growth in rural counties, densely populated rural areas enjoy stronger growth, and property taxes correlate negatively with rural growth. We also compare estimates from the aggregate county income growth model with per capita income growth and find that these two growth processes can be quite different.	
Tipo: 	Working or Discussion Paper	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/62189	
Relação: 	Iowa State University&gt;Center for Agricultural and Rural Development&gt;CARD Working Paper Series

CARD Working Paper

10-WP 507	
Formato: 	35