| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Are High-Tech Employment and Natural Amenities Linked?: Answers from a Smoothed Bayesian Spatial Model
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| Autores: |
Dorfman, Jeffrey H.
Patridge, Mark D.
Galloway, Hamilton
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| Data: |
2008-05-05
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| Ano: |
2008
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| Palavras-chave: |
Bayesian econometrics
Employment growth
High technology
Smooth coefficient models
Spatial modeling.
Labor and Human Capital
Resource /Energy Economics and Policy
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| 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.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
30071
http://purl.umn.edu/6459
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| Relação: |
American Agricultural Economics Association>2008 Annual Meeting, July 27-29, 2008, Orlando, Florida
Selected Paper
469172
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| Formato: |
29
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