Copula-based tests for cross-sectional independence in panel models
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- Hong-Ming Huang & Chihwa Kao & Giovanni Urga, 2007. "Copula-Based Tests for Cross-Sectional Independence in Panel Models," Center for Policy Research Working Papers 99, Center for Policy Research, Maxwell School, Syracuse University.
References listed on IDEAS
- Chen, Xiaohong & Fan, Yanqin, 2006.
"Estimation of copula-based semiparametric time series models,"
Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
- Xiaohong Chen & Yanqin Fan, 2002. "Estimation of Copula-Based Semiparametric Time Series Models," Vanderbilt University Department of Economics Working Papers 0226, Vanderbilt University Department of Economics, revised Oct 2004.
- Yanqin Fan & Xiaohong Chen, 2004. "Estimation of Copula-Based Semiparametric Time Series Models," Econometric Society 2004 Far Eastern Meetings 559, Econometric Society.
- Chen, Xiaohong & Fan, Yanqin, 2006.
"Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification,"
Journal of Econometrics, Elsevier, vol. 135(1-2), pages 125-154.
- Xiaohong Chen & Yanqin Fan, 2004. "Estimation and Model Selection of Semiparametric Copula-Based Multivariate Dynamic Models under Copula Misspecification," Vanderbilt University Department of Economics Working Papers 0419, Vanderbilt University Department of Economics, revised Sep 2004.
- T. S. Breusch & A. R. Pagan, 1980.
"The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
- Breusch, T.S. & Pagan, A.R., 1980. "The Lagrange multiplier test and its applications to model specification in econometrics," LIDAM Reprints CORE 412, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Andrew J. Patton, 2006.
"Estimation of multivariate models for time series of possibly different lengths,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173, March.
- Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173.
- Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003.
"Testing panel data regression models with spatial error correlation,"
Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
- Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
- M. Hashem Pesaran, 2021.
"General diagnostic tests for cross-sectional dependence in panels,"
Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
- Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
- M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo.
- Chen, Xiaohong & Fan, Yanqin & Patton, Andrew J., 2004. "Simple tests for models of dependence between multiple financial time series, with applications to U.S. equity returns and exchange rates," LSE Research Online Documents on Economics 24681, London School of Economics and Political Science, LSE Library.
- Ng, Serena, 2006. "Testing Cross-Section Correlation in Panel Data Using Spacings," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 12-23, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Alexander Chudik & M. Hashem Pesaran, 2013.
"Large panel data models with cross-sectional dependence: a survey,"
Globalization Institute Working Papers
153, Federal Reserve Bank of Dallas.
- Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
- Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012.
"A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model,"
Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
- Badi H. Baltagi & Qu Feng & Chihwa Kao, 2012. "A Lagrange Multiplier Test for Cross-Sectional Dependence in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 137, Center for Policy Research, Maxwell School, Syracuse University.
- Badi H. Baltagi & Qu Feng & Chihwa Kao, 2009. "Testing for Sphericity in a Fixed Effects Panel Data Model (Revised July 2009)," Center for Policy Research Working Papers 112, Center for Policy Research, Maxwell School, Syracuse University.
- Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007.
"Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models,"
IZA Discussion Papers
2756, Institute of Labor Economics (IZA).
- Hsiao, C. & Pesaran, M.H. & Pick, A., 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," Cambridge Working Papers in Economics 0716, Faculty of Economics, University of Cambridge.
- Cheng Hsiao & M. Hashem Pesaran & Andreas Pick, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," CESifo Working Paper Series 1984, CESifo.
- Caliman, Tiziana & Di Bella, Enrico, 2011. "House Price Dynamics in Italy - La dinamica delle quotazioni immobiliari in Italia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 64(1), pages 37-65.
- Sarafidis, Vasilis & Yamagata, Takashi & Robertson, Donald, 2009. "A test of cross section dependence for a linear dynamic panel model with regressors," Journal of Econometrics, Elsevier, vol. 148(2), pages 149-161, February.
- Avdulaj, Krenar & Barunik, Jozef, 2015.
"Are benefits from oil–stocks diversification gone? New evidence from a dynamic copula and high frequency data,"
Energy Economics, Elsevier, vol. 51(C), pages 31-44.
- Krenar Avdulaj & Jozef Barunik, 2013. "Are benefits from oil - stocks diversification gone? New evidence from a dynamic copula and high frequency data," Papers 1307.5981, arXiv.org, revised Feb 2015.
- Avdulaj, Krenar & Barunik, Jozef, 2015. "Are benefits from oil-stocks diversification gone? New evidence from a dynamic copula and high frequency data," FinMaP-Working Papers 32, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Franziska Lottmann, 2012. "Regional Unemployment in Germany: a spatial panel data analysis," ERSA conference papers ersa12p53, European Regional Science Association.
- M. Hashem Pesaran, 2021.
"General diagnostic tests for cross-sectional dependence in panels,"
Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
- Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
- M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo.
- Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
- Manner, H., 2007. "Estimation and model selection of copulas with an application to exchange rates," Research Memorandum 056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Ng, Wing Lon, 2008. "Modeling duration clusters with dynamic copulas," Finance Research Letters, Elsevier, vol. 5(2), pages 96-103, June.
- Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
- Serap Coban, 2015. "Does the Financial Development Spur Export Performance? Evidence from Turkish Firm-Level Data," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 434-440.
- Patton, Andrew, 2013. "Copula Methods for Forecasting Multivariate Time Series," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 899-960, Elsevier.
- Carmelo Algeri & Antonio F. Forgione & Carlo Migliardo, 2022. "Do spatial dependence and market power matter in the diversification of cooperative banks?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(3), November.
- Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
- Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
- Leonardo Chaves Borges Cardoso & Maurício Vaz Lobo Bittencourt & Alexandre Alves Porsse, 2014. "Demanda Por Combustíveis Leves No Brasil: Uma Abordagem Utilizando Painéis Espaciais Dinâmicos," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 194, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
- Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
- Lee, Tae-Hwy & Yang, Weiping, 2014.
"Granger-causality in quantiles between financial markets: Using copula approach,"
International Review of Financial Analysis, Elsevier, vol. 33(C), pages 70-78.
- Tae-Hwy Lee & Weiping Yang, 2014. "Granger-Causality in Quantiles between Financial Markets: Using Copula Approach," Working Papers 201406, University of California at Riverside, Department of Economics.
More about this item
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
Statistics
Access and download statisticsCorrections
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:eee:ecolet:v:100:y:2008:i:2:p:224-228. 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.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.