| dc.contributor.author |
Dorfman, JH |
en |
| dc.contributor.author |
Partridge, MD |
en |
| dc.contributor.author |
Galloway, H |
en |
| dc.date.accessioned |
2014-06-06T06:50:53Z |
|
| dc.date.available |
2014-06-06T06:50:53Z |
|
| dc.date.issued |
2011 |
en |
| dc.identifier.issn |
17421772 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1080/17421772.2011.610811 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5213 |
|
| dc.subject |
Bayesian econometrics |
en |
| dc.subject |
high-tech employment |
en |
| dc.subject |
smooth coefficient models |
en |
| dc.subject |
spatial modelling |
en |
| dc.title |
Do Natural Amenities Attract High-tech Jobs? Evidence From a Smoothed Bayesian Spatial Model |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1080/17421772.2011.610811 |
en |
| heal.publicationDate |
2011 |
en |
| heal.abstract |
We investigate the popular theory that high-technology workers are drawn to high amenity locations and then the jobs follow the workers. Using a novel data set that tracks high-technology job growth by US county, we estimate spatial parameters of the response of high-tech job growth to the level of local natural amenities. For estimation we utilize a reasonably new class of models, smooth coefficient models, taking advantage of their flexibility to allow the response of high-tech job growth to be nonlinear with respect to the level of natural amenities. Our results show that amenities are not an important driver for high-technology employment growth. Natural amenities matter most within the subset of US counties that are micropolitan, where they can influence location decisions. © 2011 Copyright Regional Studies Association. |
en |
| heal.journalName |
Spatial Economic Analysis |
en |
| dc.identifier.issue |
4 |
en |
| dc.identifier.volume |
6 |
en |
| dc.identifier.doi |
10.1080/17421772.2011.610811 |
en |
| dc.identifier.spage |
397 |
en |
| dc.identifier.epage |
422 |
en |