The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach

By Mark D. Partridge, D. Rickman, Kamar Ali, M. R. Olfert. Land Economics, 2008

166 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/8543b4a1c352843c8e35fb230017e2b6aabb9e7d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Felix Schläpfer
2. Fabian Waltert
3. T. Panduro
4. Kathrine Lausted Veie

In Sociology and Political Science

1. Felix Schläpfer
2. Fabian Waltert

Citations in the corpus

• INNOVATION, ENTREPRENEURSHIP AND ECONOMIC GROWTH IN LAGGING REGIONS (2013, unknown): “We also include state dummy variables (Statej) for the 13 Appalachian states (Georgia is the omitted category) to control for state-specific factors such as the influence of state government policies including taxes or other factors common to a given state’s counties— e.g., North Carolina’s counties”
• Landscape amenities and local development: a review of migration, regional economic and hedonic pricing studies (2010, methodology): “Recently, Partridge et al. (2008) used a geographically weighted regression (GWR) approach to study the impact of (non-landscape) amenities and other variables on employment growth in U.S. nonmetropolitan counties with focus on spatial heterogeneity.”