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In Search of 'W'

Richard Harris, John Moffat, Victoria Kravtsova

Spatial Economic Analysis, Volume: 6, Issue: 3, Pages: 249 - 270

Swansea University Author: John Moffat

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Abstract

<p>The paper discusses the standard approaches in constructing the spatial weights matrix, W, and the implications of using such approaches in terms of the potential mis-specification of W. We then look at more recent attempts to measure W in the literature, including: Bayesian (searching for...

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Published in: Spatial Economic Analysis
ISSN: 1742-1772 1742-1780
Published: Routledge 2011
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URI: https://cronfa.swan.ac.uk/Record/cronfa6651
first_indexed 2013-07-23T11:55:07Z
last_indexed 2018-02-09T04:34:06Z
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spelling 2011-10-01T00:00:00.0000000 v2 6651 2012-01-18 In Search of 'W' 04fa890e792fd9a26e2d4827c0080f64 John Moffat John Moffat true false 2012-01-18 <p>The paper discusses the standard approaches in constructing the spatial weights matrix, W, and the implications of using such approaches in terms of the potential mis-specification of W. We then look at more recent attempts to measure W in the literature, including: Bayesian (searching for 'best fit'); non-parametric techniques; the use of spatial correlation to estimate W; other iteration techniques; and alternative approaches. Lastly, an illustration is provided based on estimating spatial lag models determining establishment level R&amp;D spending in the UK, finding that differently constructed W matrices produce different estimates of spatial spillovers. <br /><br /></p> Journal Article Spatial Economic Analysis 6 3 249 270 Routledge 1742-1772 1742-1780 Spatial weights; spatial dependence; spatial models 12 7 2011 2011-07-12 10.1080/17421772.2011.586721 http://dx.doi.org/10.1080/17421772.2011.586721 COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2012-01-18T16:36:46.4070000 Faculty of Humanities and Social Sciences School of Management - Economics Richard Harris 1 John Moffat 2 Victoria Kravtsova 3
title In Search of 'W'
spellingShingle In Search of 'W'
John Moffat
title_short In Search of 'W'
title_full In Search of 'W'
title_fullStr In Search of 'W'
title_full_unstemmed In Search of 'W'
title_sort In Search of 'W'
author_id_str_mv 04fa890e792fd9a26e2d4827c0080f64
author_id_fullname_str_mv 04fa890e792fd9a26e2d4827c0080f64_***_John Moffat
author John Moffat
author2 Richard Harris
John Moffat
Victoria Kravtsova
format Journal article
container_title Spatial Economic Analysis
container_volume 6
container_issue 3
container_start_page 249
publishDate 2011
institution Swansea University
issn 1742-1772
1742-1780
doi_str_mv 10.1080/17421772.2011.586721
publisher Routledge
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Economics{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Economics
url http://dx.doi.org/10.1080/17421772.2011.586721
document_store_str 0
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description <p>The paper discusses the standard approaches in constructing the spatial weights matrix, W, and the implications of using such approaches in terms of the potential mis-specification of W. We then look at more recent attempts to measure W in the literature, including: Bayesian (searching for 'best fit'); non-parametric techniques; the use of spatial correlation to estimate W; other iteration techniques; and alternative approaches. Lastly, an illustration is provided based on estimating spatial lag models determining establishment level R&amp;D spending in the UK, finding that differently constructed W matrices produce different estimates of spatial spillovers. <br /><br /></p>
published_date 2011-07-12T03:11:14Z
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