Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values
AbstractThe paper presents a variety ofmeta analysis models of woodland recreation benefit estimates, contrasting conventionally estimatedmodelswith those provided by novel, multi-level modeling (MLM) techniques (Goldstein 1995). Our conventional models suggest that studies carried out by certain authors are associated with unusually large residuals within ourmeta-analysis.However, the MLM approach explicitly incorporates the hierarchical nature ofmeta-analysis data, with estimates nested within study sites and authors. These residuals are not a significant determinant upon values, suggesting that, at least in this aspect, estimates may be more robust than indicated by less sophisticated models.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Land Economics.
Volume (Year): 79 (2003)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://le.uwpress.org/
Find related papers by JEL classification:
- Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
You can help add them by filling out this form.
RePEc Biblio mentionsAs found on the RePEc Biblio, the curated bibliography for Economics:CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.