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pro vyhledávání: '"Cherodian, Rowan"'
We propose a novel estimation procedure for models with endogenous variables in the presence of spatial correlation based on Eigenvector Spatial Filtering. The procedure, called Moran's $I$ 2-Stage Lasso (Mi-2SL), uses a two-stage Lasso estimator whe
Externí odkaz:
http://arxiv.org/abs/2404.02584
This paper proposes a Lasso-based estimator which uses information embedded in the Moran statistic to develop a selection procedure called Moran's I Lasso (Mi-Lasso) to solve the Eigenvector Spatial Filtering (ESF) eigenvector selection problem. ESF
Externí odkaz:
http://arxiv.org/abs/2310.02773
Autor:
Cherodian, Rowan, Fraser, Iain
Publikováno v:
In Forest Policy and Economics November 2024 168
Autor:
Cherodian, Rowan
This thesis focuses on Eigenvector Spatial Filtering (ESF), developed by Griffith (2000, 2003) as a methodology designed to handle general cross-sectional/spatial dependence. ESF uses a subset of eigenvectors from a spatial weights matrix in a linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c53329edd4cfea8e87efbecc5e40777
Autor:
CHERODIAN, ROWAN, THIRLWALL, A. P.
Publikováno v:
Journal of Post Keynesian Economics, 2015 Apr 01. 37(3), 384-407.
Externí odkaz:
http://www.jstor.org/stable/43671484
Autor:
Cherodian, Rowan, Thirlwall, A. P.
The paper looks at the latest evidence of what has been happening to regional disparities in per capita income (measured as Gross State Domestic Product per capita) in India over the first decade of the twenty first century (1999/00 to 2010/11) by es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::3acf981373075bbc406d13d6749a8c11
https://hdl.handle.net/10419/105585
https://hdl.handle.net/10419/105585