Evidence on agglomeration economies, diseconomies, and growth

By Christopher H. Wheeler. 2003

39 citations recorded by the source corpus.

Subfields: Economics and Econometrics

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. Jan Peters
2. Craig Allen
3. Dominik Janzing
4. Bernhard Schölkopf
5. Jakob Zscheischler
6. Ahjond S. Garmestani
7. Colin M. Gallagher
8. John D. Mittelstaedt

Citations in the corpus

• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “D27: US county-level growth data The data set (Wheeler, 2003) contains both employment and population information for 3102 counties in the US in 1980.”
• Departures from Gibrat's Law, Discontinuities and City Size Distributions (2007, background): “Urban theory predicts that at a threshold size, agglomeration benefits decrease and diseconomies (such as crime, congestion and living expenses) increase; cities should grow to a certain point and then growth rates should decrease as size increases (Wheeler, 2003).”
• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “D27: US county-level growth data The data set (Wheeler, 2003) contains both employment and population information for 3102 counties in the US in 1980.”