EconPapers    
Economics at your fingertips  
 

DISAGGREGATING DENSITY A KNOWLEDGE SPILLOVER ANALYSIS USING GEO-CODED DATA

Johan Larsson

ERSA conference papers from European Regional Science Association

Abstract: This paper exploits a geocoded, publicly audited, full population dataset on employment and wages in Sweden’s city areas, to analyze the relationship between density of economic activity and individual wages. The analysis is based on 250-by-250 meter (about 0.15 miles), 1 km2, 9 km2 and 100 km2 squares. Fixed effects individual-level wage regressions confirm that workers are positively affected by proximity to economic activity, but that the results are dependent on spatial resolution. A doubling of density in a 250 meter square is associated with a 3.7 percent increase in wages, holding individual characteristics and industry structure constant. Basing the analysis on any of the larger squares decreases the elasticity by about one third, confirming the modifiable areal unit problem, and lending support to arguments in favor of the attenuation of human capital spillover effects.

Date: 2012-10
New Economics Papers: this item is included in nep-geo
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa12/e120821aFinal00932.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa12p930

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().

 
Page updated 2025-02-22
Handle: RePEc:wiw:wiwrsa:ersa12p930
            
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy