Are High-Tech Employment and Natural Amenities Linked?: Answers from a Smoothed Bayesian Spatial Model
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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- Koop, Gary & Tobias, Justin L., 2006.
"Semiparametric Bayesian inference in smooth coefficient models,"
Journal of Econometrics,
Elsevier, vol. 134(1), pages 283-315, September.
- Gary Koop & Justin Tobias, 2003. "Semiparametric Bayesian inference in smooth coefficient models," Discussion Papers in Economics 04/18, Department of Economics, University of Leicester.
- Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
- Mark Partridge & Ray D. Bollman & M. Rose Olfert & Alessandro Alasia, 2007. "Riding the Wave of Urban Growth in the Countryside: Spread, Backwash, or Stagnation?," Land Economics, University of Wisconsin Press, vol. 83(2), pages 128-152.
- Mark Partridge, 1993. "High-Tech Employment And State Economic Development Policies," The Review of Regional Studies, Southern Regional Science Association, vol. 23(3), pages 287-305, Winter.
- Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
- Koop, G. & Poirier, D., 2000. "Bayesian Variants of Some Classical Semiparametric Regression Techniques," Papers 00-01-22, California Irvine - School of Social Sciences.
- Gary Koop & Dale J Poirer, 2001. "Bayesian Variants of Some classical Semiparametric Regression Techniques," ESE Discussion Papers 73, Edinburgh School of Economics, University of Edinburgh.
- Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2008. "The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach," Land Economics, University of Wisconsin Press, vol. 84(2), pages 241-266.
- Mark D. Partridge & Dan S. Rickman & Kamar Ali & M. Rose Olfert, 2007. "The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach," Economics Working Paper Series 0704, Oklahoma State University, Department of Economics and Legal Studies in Business.
- Edward L. Glaeser, Jed Kolko, and Albert Saiz, 2001. "Consumer city," Journal of Economic Geography, Oxford University Press, vol. 1(1), pages 27-50, January.
- Ed Glaeser & Jed Kolko & Albert Saiz, 2000. "Consumer City," NBER Working Papers 7790, National Bureau of Economic Research, Inc.
- Edward L. Glaeser & Jed Kolko & Albert Saiz, 2000. "Consumer City," Harvard Institute of Economic Research Working Papers 1901, Harvard - Institute of Economic Research.
- Steven C. Deller & Tsung-Hsiu (Sue) Tsai & David W. Marcouiller & Donald B.K. English, 2001. "The Role of Amenities and Quality of Life In Rural Economic Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 352-365.
- McGranahan, David A., 1999. "Natural Amenities Drive Rural Population Change," Agricultural Economics Reports 33955, United States Department of Agriculture, Economic Research Service.
- Mark Ferguson & Kamar Ali & M. Rose Olfert & Mark Partridge, 2007. "Voting with Their Feet: Jobs versus Amenities," Growth and Change, Wiley Blackwell, vol. 38(1), pages 77-110.
- Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
- Klaus Desmet & Marcel Fafchamps, 2005. "Changes in the spatial concentration of employment across US counties: a sectoral analysis 1972--2000," Journal of Economic Geography, Oxford University Press, vol. 5(3), pages 261-284, June.
- Dwight W. Adamson & David E. Clark & Mark D. Partridge, 2004. "Do Urban Agglomeration Effects and Household Amenities have a Skill Bias?," Journal of Regional Science, Wiley Blackwell, vol. 44(2), pages 201-224.
- Partridge Mark D. & Rickman Dan S & Ali Kamar & Olfert M. Rose, 2008. "Employment Growth in the American Urban Hierarchy: Long Live Distance," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-38, March.
- McGranahan, David A. & Wojan, Timothy R., 2007. "The Creative Class: A Key to Rural Growth," Amber Waves, United States Department of Agriculture, Economic Research Service, April. Full references (including those not matched with items on IDEAS)