Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States
Abstract
This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005. To control for endogeneity we estimate a two-stage spatial error model and infer parameter significance by implementing a number of spatial bootstrap algorithms. We find that outdoor recreation and natural amenities favor positive growth in rural counties, densely populated rural areas enjoy stronger growth, and property taxes correlate negatively with rural growth. We also compare estimates from the aggregate county income growth model with per capita income growth and find that these two growth processes can be quite different.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Paper provided by Center for Agricultural and Rural Development (CARD) at Iowa State University in its series Center for Agricultural and Rural Development (CARD) Publications with number 10-wp507.
Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
Length:
Date of creation: May 2010
Date of revision:
Handle: RePEc:ias:cpaper:10-wp507
Contact details of provider:
Postal: 578 Heady Hall, Ames, Iowa 50011-1070
Phone: (515) 294-1183
Fax: (515) 294-6336
Email:
Web page: http://www.card.iastate.edu/
More information through EDIRC
For corrections or technical questions regarding this item, or to correct its listing, contact: ().
Related research
Keywords: county income growth; rural development; spatial bootstrapping.;Other versions of this item:
- Daniel C. Monchuk & Dermot J. Hayes & John A. Miranowski & Dayton M. Lambert, 2011. "Inference Based On Alternative Bootstrapping Methods In Spatial Models With An Application To County Income Growth In The United States," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 880-896, December.
- Daniel C. Monchuk & Dermot J. Hayes & John Miranowski, 2008. "Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States," Center for Agricultural and Rural Development (CARD) Publications 08-wp471, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- R11 - Urban, Rural, Regional and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R58 - Urban, Rural, Regional and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-06-11 (All new papers)
- NEP-FDG-2010-06-11 (Financial Development & Growth)
- NEP-GEO-2010-06-11 (Economic Geography)
- NEP-URE-2010-06-11 (Urban & Real Estate Economics)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniel C. Monchuk & John A. Miranowski & Dermot J. Hayes & Bruce A. Babcock, 2007.
"An Analysis of Regional Economic Growth in the U.S. Midwest,"
Review of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 29(1), pages 17-39.
- Monchuk, Daniel C. & Miranowski, John A. & Hayes, Dermot J. & Babcock, Bruce A., 2004. "An Analysis Of Regional Economic Growth In The Us Midwest," 2004 Annual meeting, August 1-4, Denver, CO 20369, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- David Brownstone & Robert Valletta, 2001. "The Bootstrap and Multiple Imputations: Harnessing Increased Computing Power for Improved Statistical Tests," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 129-141, Fall.
- Carree, Martin & Stel, Andre van & Thurik, Roy & Wennekers, Sander, 2002. "Economic development and business ownership: an analysis using data of 23 OECD countries in the period 1976-1996," Open Access publications from Maastricht University urn:nbn:nl:ui:27-3939, Maastricht University.
- Cheshire, Paul & Sheppard, Stephen, 1995. "On the Price of Land and the Value of Amenities," Economica, London School of Economics and Political Science, vol. 62(246), pages 247-67, May.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:ias:cpaper:10-wp507For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.