A note on small sample properties of estimators in a first-order spatial autoregressive model
AbstractThis note considers a Bayesian estimator and an ad hoc procedure for the parameters of a first-order spatial autoregressive model. The approaches are derived, and their small sample properties compared by means of a Monte Carlo simulation experiment.
Download InfoIf 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 InfoArticle provided by Pion Ltd, London in its journal Environment and Planning A.
Volume (Year): 14 (1982)
Issue (Month): 8 (August)
Contact details of provider:
Web page: http://www.pion.co.uk
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
- Rauktis, Mary E. & McCarthy, Sharon & Krackhardt, David & Cahalane, Helen, 2010. "Innovation in child welfare: The adoption and implementation of Family Group Decision Making in Pennsylvania," Children and Youth Services Review, Elsevier, vol. 32(5), pages 732-739, May.
- Magrini, Stefano, 2004. "Regional (di)convergence," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 62, pages 2741-2796 Elsevier.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond).
If references are entirely missing, you can add them using this form.