Employment Density Variation in the Baltimore Metropolitan Area

1982 ◽  
Vol 14 (5) ◽  
pp. 591-601 ◽  
Author(s):  
R A Erickson
Keyword(s):  
Metropolitan Area ◽  
Central City ◽  
Density Variation ◽  
Transportation Costs ◽  
Metropolitan Statistical Area ◽  
Density Gradients ◽  
Standard Metropolitan Statistical Area ◽  
Employment Density ◽  
Employment Data ◽  
Statistical Area

Traditional density models have used a single gradient to depict the employment distribution over metropolitan space. However, different processes have characterized city and suburban development, and suburban gradients are not simple extensions of central city ones. Analysis of employment data for the Baltimore standard metropolitan statistical area in 1974 indicates that differences in markets and transportation costs help to account for observed differences in city-suburban density gradients.

scholarly journals Shifting Spatial Patterns Of A Monocentric Metropolitan Area: The Evolution Of An Employment Cluster In The Buffalo-Niagara Falls, New York Metropolitan Statistical Area (MSA): 1990-2000

2011 ◽  
Vol 5 (10) ◽  
Author(s):  
Craig D. Rogers
Keyword(s):  
New York ◽  
Spatial Patterns ◽  
Metropolitan Area ◽  
Metropolitan Areas ◽  
Central City ◽  
Metropolitan Statistical Area ◽  
Font Size ◽  
Niagara Falls ◽  
Employment Centers ◽  
Statistical Area

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">These findings are contrary to the established economic and geography literature that strongly suggests employment suburbanization has and will continue to create employment centers beyond the central city in metropolitan areas.</span></span><span style="font-size: 10pt; mso-bidi-font-size: 11.0pt;"></span></p>

scholarly journals US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation

2017 ◽  
Vol 50 (1) ◽  
pp. 111-132 ◽  
Author(s):  
Justin Doran ◽  
Bernard Fingleton
Keyword(s):  
Metropolitan Area ◽  
Industrial Structure ◽  
State Of The Art ◽  
Metropolitan Statistical Area ◽  
Panel Estimation ◽  
Metropolitan Statistical Areas ◽  
Spatial Panel ◽  
Panel Model ◽  
Spatial Panel Model ◽  
Statistical Area

In this paper, we show that the economic crisis commencing in 2007 had different impacts across US Metropolitan Statistical Areas, and seek to understand why differences occurred. The hypothesis of interest is that differences in industrial structure are a cause of variations in response to the crisis. Our approach uses a state-of-the art dynamic spatial panel model to obtain counterfactual predictions of Metropolitan Statistical Area employment levels from 2008 to 2014. The counterfactual employment series are compared with actual employment paths in order to obtain Metropolitan Statistical Area-specific measures of crisis impact, which then are analysed with a view to testing the hypothesis that resilience to the crisis was dependent on Metropolitan Statistical Area industrial structure.

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