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Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States

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This study examines correlates with aggregate county income growth across the 48 contiguous states from 1990 to 2001. Since visual inspection of the variable to be explained shows a clear spatial relationship and to control for potentially endogenous variables, we estimate a two-stage spatial error model. Given the lack of theoretical and asymptotic results for such models, we propose and implement a number of spatial bootstrap algorithms, including one allowing for heteroskedasticity, to infer parameter significance. Among the results of a comparison of the marginal effects in rural versus non-rural counties, 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.

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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 08-wp471.

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Date of creation: Jun 2008
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Handle: RePEc:ias:cpaper:08-wp471

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Keywords: county income growth; rural development; spatial bootstrapping.;

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  1. Mitch Renkow, 2003. "Employment Growth, Worker Mobility, and Rural Economic Development," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 85(2), pages 503-513.
  2. JunJie Wu & Munisamy Gopinath, 2008. "What Causes Spatial Variations in Economic Development in the United States?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 90(2), pages 392-408.
  3. Daniel C. Monchuk & John Miranowski & Dermot J. Hayes & Bruce A. Babcock, 2005. "Analysis of Regional Economic Growth in the U.S. Midwest, An," Center for Agricultural and Rural Development (CARD) Publications, Center for Agricultural and Rural Development (CARD) at Iowa State University 05-wp392, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  4. 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, American Economic Association, vol. 15(4), pages 129-141, Fall.
  5. Steven C. Deller & Tsung-Hsiu (Sue) Tsai & David W. Marcouiller & Donald B.K. English, 2001. "The Role of Amenities and Quality of Life In Rural Economic Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 83(2), pages 352-365.
  6. Georgeanne M. Artz & Peter F. Orazem & Daniel M. Otto, 2007. "Measuring the Impact of Meat Packing and Processing Facilities in Nonmetropolitan Counties: A Difference-in-Differences Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 89(3), pages 557-570.
  7. Cheshire, Paul & Sheppard, Stephen, 1995. "On the Price of Land and the Value of Amenities," Economica, London School of Economics and Political Science, London School of Economics and Political Science, vol. 62(246), pages 247-67, May.
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Cited by:
  1. Ketterer, Tobias & Rodríguez-Pose, Andrés, 2012. "Do Local Amenities Affect the Appeal of Regions in Europe for Migrants?," CEPR Discussion Papers, C.E.P.R. Discussion Papers 8964, C.E.P.R. Discussion Papers.
  2. Marcos Herrera & Manuel Ruiz & Jes�s Mur, 2013. "Detecting Dependence Between Spatial Processes," Spatial Economic Analysis, Taylor & Francis Journals, Taylor & Francis Journals, vol. 8(4), pages 469-497, February.
  3. Torben Klarl, 2013. "Is Spatial Bootstrapping a Panacea for Valid Inference?," Discussion Paper Series, Universitaet Augsburg, Institute for Economics 322, Universitaet Augsburg, Institute for Economics.

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