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Copula-based tests for cross-sectional independence in panel models. (English) Zbl 1255.62356

Summary: This paper proposes the copula-based tests for testing cross-sectional independence of panel models.

MSC:

62P20 Applications of statistics to economics
62H15 Hypothesis testing in multivariate analysis
62H05 Characterization and structure theory for multivariate probability distributions; copulas

References:

[1] Anselin, L.; Bera, A. K., Spatial dependence in linear regression models with an introduction to spatial econometrics, (Ullah, Amman; Giles, David E. A., Handbook of applied Economic Statistics (1997), Marcel Dekker: Marcel Dekker New York)
[2] Baltagi, B. H.; Song, S. H.; Koh, W., Testing panel data regression models with spatial error correlation, Journal of Econometrics, 117, 123-150 (2003) · Zbl 1134.62390
[3] Brett, C.; Pinkse, J., Those taxes are all over the map: a test of spatial independence, International Regional Science Review, 20, 131-151 (1997)
[4] Breusch, T. S.; Pagan, A. R., The Lagrange multiplier test and its applications to model specification in econometrics, Review of Economics Studies, 47, 239-253 (1980) · Zbl 0465.62107
[5] Burridge, P., On the Cliff-Ord test for spatial correlation, Journal of the Royal Statistical Society B, 42, 107-108 (1980) · Zbl 0427.62047
[6] Chen, X.; Fan, Y.; Patton, A., Simple tests for models of dependence between multiple financial time series, with applications to U.S. equity returns and exchange rates (2004), Manuscript, New York University, Vanderbilt University and London School of Economics
[7] Chen, X.; Fan, Y., Pseudo-likelihood ratio tests for semiparametric multivariate copula model selection, The Canadian Journal of Statistics, 33, 389-414 (2005) · Zbl 1077.62032
[8] Chen, X.; Fan, Y., Estimation of copula-based semiparametric time series model, Journal of Econometrics, 130, 307-335 (2006) · Zbl 1337.62201
[9] Chen, X.; Fan, Y., Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification, Journal of Econometrics, 135, 125-154 (2006) · Zbl 1418.62425
[10] Cherubini, U.; Luciano, E.; Vecchiato, W., Copula Method in Finance (2004), Wiley · Zbl 1163.62081
[11] Cliff, A.; Ord, K. J., Spatial Autocorrelation (1973), Pion: Pion London
[12] Frees, E. W.; Valdez, E., Understanding relationship using copulas, North American Actuarial Journal, 2, 1-25 (1998) · Zbl 1081.62564
[13] Genest, C.; Choudi, K.; Rivest, L.-P., A semiparametric estimation procedure of dependence parameters in multivariate families of distributions, Biometrika, 82, 543-552 (1995) · Zbl 0831.62030
[14] Hu, L., Dependence Patterns across Financial Markets: a Mixed Copula Approach (2003), OSU
[15] Joe, H.; Xu, J. J., The estimation method of inference functions for margins for multivariate methods, (Dep. of Statistics, University of British Columbia, Tech. Rept. (1996)), 166
[16] King, M., A small sample property of the Cliff-Ord test for spatial correlation, Journal of the Royal Statistical Society B, 43, 263-264 (1981) · Zbl 0473.62053
[17] Mammen, E., Empirical process of residuals for high-dimensional linear models, Annals of Statistics, 24, 307-335 (1996) · Zbl 0853.62042
[18] Moran, P. A.P., A test for the serial independence of residuals, Biometrika, 37, 178-181 (1950) · Zbl 0041.46607
[19] Nelsen, R. B., An introduction to copulas, (Lecture Notes in Statistics, vol. 39 (1999), Springer) · Zbl 1152.62030
[20] Ng, S., Testing cross-section correlation in panel data using spacings, Journal of Business & Economic Statistics, 24, 12-23 (2006)
[21] Patton, A. J., (Modeling Time-Varying Exchange Rate Dependence Using the Conditional Copula, Working Paper 01-09 (2002), Department of Economics, University of California: Department of Economics, University of California San Diego)
[22] Patton, A. J., (Estimation of Copula Models for Time Series of Possibly Different Lengths, Working Paper 01-17 (2002), Department of Economics, University of California: Department of Economics, University of California San Diego)
[23] Oakes, D., Multivariate survival distributions, Journal of Nonparametric Statistics, 3, 343-354 (1994) · Zbl 1378.62121
[24] Pesaran, M. H., (General Diagnostic Tests for Cross Section Dependence in Panels, Working Paper (2004), University of Cambridge & USC)
[25] Shih, J. H.; Louis, T. A., Inferences on the association parameter in copula models for bivariate survival data, Biometrics, 51, 1384-1399 (1995) · Zbl 0869.62083
[26] Sklar, A., Fonctions de répartition à n dimensions et leurs marges, Publications de l’Institut de Statistique de l’Université de Paris, 8, 229-231 (1959) · Zbl 0100.14202
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