A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- is not listed on IDEAS
- Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
- Georges Bresson & Jean-Michel Etienne & Pierre Mohnen, 2011.
"How important is innovation? A Bayesian factor-augmented productivity model on panel data,"
Working Papers
halshs-00812155, HAL.
- Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Georges Bresson & Jean-Michel Etienne & Pierre Mohnen, 2011. "How important is innovation? A Bayesian factor-augmented productivity model on panel data," TEPP Working Paper 2011-06, TEPP.
- Cem Ertur & Antonio Musolesi, 2017.
"Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
- Cem ERTUR & Antonio MUSOLESI, 2013. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," LEO Working Papers / DR LEO 1961, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Cem Ertur & Antonio Musolesi, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," SEEDS Working Papers 0415, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Feb 2015.
- Cem Ertur & Antonio Musolesi, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," SEEDS Working Papers 1915, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2015.
- Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
- Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
- Antonio Musolesi & Cem Ertur, 2015. "Weak and Strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2015064, University of Ferrara, Department of Economics.
- Antonio Musolesi & Cem Ertur, 2016. "Weak and Strong Cross-Sectional Dependence: a Panel Data Analysis of International Technology Diffusion," Working Papers 2016035, University of Ferrara, Department of Economics.
- Cem Ertur & Antonio Musolesi, 2014. "Weak and Strong cross-sectional dependence : a panel data analysis of international technology diffusion [Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion i," Working Papers halshs-01015208, HAL.
- Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2018.
"Robust linear static panel data models using ε-contamination,"
Journal of Econometrics, Elsevier, vol. 202(1), pages 108-123.
- Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust Linear Static Panel Data Models Using ?-Contamination," IZA Discussion Papers 8661, Institute of Labor Economics (IZA).
- Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
- Badi H. Baltagia & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust linear static panel data models using e-contamination," Cahiers de recherche 1706, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
- Guy Lacroix & Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi, 2015. "Robust linear static panel data models using ε-contamination," CIRANO Working Papers 2015s-30, CIRANO.
- repec:wyi:journl:002130 is not listed on IDEAS
- Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
- Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.
- Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:erm:papers:0810. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ermp2fr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/erm/papers/0810.html