Model-based Clustering of non-Gaussian Panel Data
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- Alonso-Borrego, Cesar & Arellano, Manuel, 1999.
"Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 17(1), pages 36-49, January.
- Alonso-Borrego, César & Arrellano, Manuel, 1996. "Symmetrically normalized instrumental-variable estimation using panel data," UC3M Working papers. Economics 4098, Universidad Carlos III de Madrid. Departamento de Economía.
- Ishwaran H. & James L.F. & Sun J., 2001. "Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1316-1332, December.
- Durlauf, Steven N & Johnson, Paul A, 1995.
"Multiple Regimes and Cross-Country Growth Behaviour,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
- Durlauf, S.N. & Johnson, P.A., 1994. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419, Wisconsin Madison - Social Systems.
- Durlauf, S.M. & Johnson, P.A., 1995. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419r, Wisconsin Madison - Social Systems.
- L. Bauwens & J. V. K. Rombouts, 2007.
"Bayesian Clustering of Many Garch Models,"
Econometric Reviews,
Taylor & Francis Journals, vol. 26(2-4), pages 365-386.
- BAUWENS, Luc & ROMBOUTS, Jeroen, 2003. "Bayesian clustering of many GARCH models," CORE Discussion Papers 2003087, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- BAUWENS, Luc & ROMBOUTS, Jeroen VK, 2007. "Bayesian clustering of many GARCH models," CORE Discussion Papers RP 1916, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- G. Casella & K. L. Mengersen & C. P. Robert & D. M. Titterington, 2002. "Perfect samplers for mixtures of distributions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 777-790.
- Miguel A. Juárez & Mark F. J. Steel, 2010.
"Non‐gaussian dynamic bayesian modelling for panel data,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 25(7), pages 1128-1154, November/.
- Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
- Keisuke Hirano, 2002. "Semiparametric Bayesian Inference in Autoregressive Panel Data Models," Econometrica, Econometric Society, vol. 70(2), pages 781-799, March.
- Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
- Fabio Canova, 2004.
"Testing for Convergence Clubs in Income Per Capita: A Predictive Density Approach,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(1), pages 49-77, February.
- Fabio Canova, 1997. "Testing for convergence clubs in income per-capita: A predictive density approach," Economics Working Papers 404, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 1999.
- Canova, Fabio, 1999. "Testing for Convergence Clubs in Income per-capita: A Predictive Density Approach," CEPR Discussion Papers 2201, C.E.P.R. Discussion Papers.
- Canova, Fabio, 2001. "Testing for convergence clubs in income per-capita : a predictive density approach," HWWA Discussion Papers 139, Hamburg Institute of International Economics (HWWA).
- Durlauf, Steven N. & Quah, Danny T., 1999.
"The new empirics of economic growth,"
Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308
Elsevier.
- Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," NBER Working Papers 6422, National Bureau of Economic Research, Inc.
- Durlauf,S.N. & Quah,D.T., 1998. "The new empirics of economic growth," Working papers 3, Wisconsin Madison - Social Systems.
- Steven N. Durlauf & Danny T. Quah, 1998. "The New Empirics of Economic Growth," Working Papers 98-01-012, Santa Fe Institute.
- S Durlauf & Danny Quah, 1998. "The New Empirics of Economic Growth," CEP Discussion Papers dp0384, Centre for Economic Performance, LSE.
- Matthew Stephens, 2000. "Dealing with label switching in mixture models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(4), pages 795-809.
- Fern ndez, Carmen & Steel, Mark F.J., 2000.
"Bayesian Regression Analysis With Scale Mixtures Of Normals,"
Econometric Theory,
Cambridge University Press, vol. 16(01), pages 80-101, February.
- Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," ESE Discussion Papers 27, Edinburgh School of Economics, University of Edinburgh.
- repec:dau:papers:123456789/6069 is not listed on IDEAS
- Nerlove,Marc, 2005.
"Essays in Panel Data Econometrics,"
Cambridge Books,
Cambridge University Press, number 9780521022460.
- Nerlove,Marc, 2002. "Essays in Panel Data Econometrics," Cambridge Books, Cambridge University Press, number 9780521815345.
- Nandram, Balgobin & Petruccelli, Joseph D, 1997. "A Bayesian Analysis of Autoregressive Time Series Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 328-334, July.
- Sylvia Fruhwirth-Schnatter, 2004. "Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 143-167, June.
- Fruhwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2008.
"Model-Based Clustering of Multiple Time Series,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 26, pages 78-89, January.
- Frühwirth-Schnatter, Sylvia & Kaufmann, Sylvia, 2004. "Model-based Clustering of Multiple Time Series," CEPR Discussion Papers 4650, C.E.P.R. Discussion Papers.
- Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
- Liu, Lon-Mu & Tiao, George C., 1980. "Random coefficient first-order autoregressive models," Journal of Econometrics, Elsevier, vol. 13(3), pages 305-325, August.
Citations
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Cited by:
- Sylvia Frühwirth‐Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter‐Ebmer, 2012.
"Labor market entry and earnings dynamics: Bayesian inference using mixtures‐of‐experts Markov chain clustering,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 27(7), pages 1116-1137, November.
- Sylvia Frühwirth-Schnatter & Christoph Pamminger & Andrea Weber & Rudolf Winter-Ebmer, 2010. "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering," NRN working papers 2010-14, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
- Sylvia Frühwirth-Schnatter & Andrea Weber & Rudolf Winter-Ebmer, 2010. "Labor Market Entry and Earnings Dynamics: Bayesian Inference Using Mixtures-of-Experts Markov Chain Clustering," Economics working papers 2010-11, Department of Economics, Johannes Kepler University Linz, Austria.
- Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
More about this item
Keywords
autoregressive modelling; employment growth; GDP growth convergence; hierarchical prior; model comparison; posterior propriety; skewness;JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ALL-2006-11-25 (All new papers)
- NEP-ECM-2006-11-25 (Econometrics)
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