Are U.S. regions converging? Using new econometric methods to examine old issues
Timothy Vogelsang and
Marc Tomljanovich ()
Additional contact information
Marc Tomljanovich: Department of Economics, Colgate University, Hamilton, NY 13346. E-mail: mtomljanovich@colgate.edu.
Empirical Economics, 2002, vol. 27, issue 1, 49-62
Abstract:
Are different regions of the United States experiencing convergence in levels of GDP? Carlino and Mills (1993) examined this question through time-series techniques, and found some evidence in favor of regional convergence. This paper checks the robustness of their results by using new econometric methods proposed by Vogelsang (1998). Our results, together with results from Loewy and Papell (1996), suggest there is stronger evidence in favor of convergence than previously thought based on the results of Carlino and Mills (1993).
Keywords: Regional; per-capita; income; ·; time; series; models; ·; beta; convergence; ·; trend; functions; ·; serial; correlation. (search for similar items in EconPapers)
JEL-codes: C32 E10 O40 R00 (search for similar items in EconPapers)
Date: 2002-02-19
Note: received: September 2000/Final version received: December 2000
References: Add references at CitEc
Citations: View citations in EconPapers (35)
Downloads: (external link)
http://link.springer.de/link/service/journals/00181/papers/2027001/20270049.pdf (application/pdf)
Access to the full text of the articles in this series is restricted
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:spr:empeco:v:27:y:2002:i:1:p:49-62
Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2
Access Statistics for this article
Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund
More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().