Data/hora: 11/06/2024 06:35:44

Provedor de dados: 	31	
País: 	United States	
Título: 	Are High-Tech Employment and Natural Amenities Linked?: Answers from a Smoothed Bayesian Spatial Model	
Autores: 	Dorfman,   Jeffrey H.; Patridge,   Mark D.; Galloway,   Hamilton.	
Data: 	2008-05-05	
Ano: 	2008	
Palavras-chave: 	Bayesian econometrics; Employment growth; High technology; Smooth coefficient models; Spatial modeling.; Labor and Human Capital; Resource /Energy Economics and Policy.	
Resumo: 	We investigate the recently advanced theory that high-technology workers are drawn to high amenity locations and then the high-technology jobs follow the workers.  Using a novel data set that tracks high-technology job growth by U.S. county, we estimate spatial parameters of the response of job growth to the level of local natural amenities.  We achieve this estimation with a reasonably new class of models, smooth coefficient models.  The model is employed in a spatial setting to allow for smooth, but nonparametric response functions to key variables in an  otherwise standard regression model. With spatial data this allows for flexible modeling such as a unique place-specific effects to be estimated for each location, and also for the responses to key variables to vary by location.  This flexibility is achieved through the non-parametric smoothing rather than by nearest-neighbor type estimators such as in geographically weighted regressions. The resulting model can be estimated in a straightforward  application of analytical Bayesian techniques.  Our results show that amenities can definitely have a significant effect on high-technology employment growth; however, the effect varies over space and by amenity level.	
Tipo: 	Conference Paper or Presentation	
Idioma: 	Inglês	
Identificador: 	30071

http://purl.umn.edu/6459	
Relação: 	American Agricultural Economics Association&gt;2008 Annual Meeting, July 27-29, 2008, Orlando, Florida

Selected Paper

469172	
Formato: 	29