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A likelihood ratio test for bimodality in two-component mixtures with application to regional income distribution in the EU Author info | Abstract | Publisher info | Download info | Related research | Statistics Hajo Holzmann ()
Sebastian Vollmer
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Article provided by Springer in its journal AStA Advances in Statistical Analysis .
Volume (Year): 92 (2008)
Issue (Month): 1 (February)
Pages: 57-69
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Handle: RePEc:spr:alstar:v:92:y:2008:i:1:p:57-69Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=112915
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Keywords: Bimodality ; Convergence analysis ; Cross-sectional income distribution ; Likelihood ratio test ; Finite mixture ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
Sala-i-Martin, Xavier X, 1996.
"The Classical Approach to Convergence Analysis ,"
Economic Journal ,
Royal Economic Society, vol. 106(437), pages 1019-36, July.
[Downloadable!] (restricted)
Other versions:
Xavier Sala-i-Martin, 1995.
"The Classical Approach to Convergence Analysis ,"
Economics Working Papers
117, Department of Economics and Business, Universitat Pompeu Fabra.
[Downloadable!] Sala-i-martin, X., 1995.
"The Classical Approach to Convergence Analysis ,"
Papers
734, Yale - Economic Growth Center.
Sala-i-Martin, Xavier, 1995.
"The Classical Approach to Convergence Analysis ,"
CEPR Discussion Papers
1254, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted) Robert J. Barro & Xavier Sala-i-Martin, 1991.
"Convergence across States and Regions ,"
Brookings Papers on Economic Activity ,
Economic Studies Program, The Brookings Institution, vol. 22(1991-1), pages 107-182.
[Downloadable!]
Other versions: Maria Grazia Pittau, 2005.
"Fitting Regional Income Distributions in the European Union ,"
Oxford Bulletin of Economics and Statistics ,
Department of Economics, University of Oxford, vol. 67(2), pages 135-161, 04.
[Downloadable!] (restricted)
Quah, Danny, 1996.
"Regional Convergence Clusters Across Europe ,"
CEPR Discussion Papers
1286, C.E.P.R. Discussion Papers.
[Downloadable!] (restricted)
Quah, Danny T., 1996.
"Regional convergence clusters across Europe ,"
European Economic Review ,
Elsevier, vol. 40(3-5), pages 951-958, April.
[Downloadable!] (restricted)
Fischer, N. I. & Mammen, E. & Marron, J. S., 1994.
"Testing for multimodality ,"
Computational Statistics & Data Analysis ,
Elsevier, vol. 18(5), pages 499-512, December.
[Downloadable!] (restricted)
LE GALLO, Julie, 2001.
"Space-time analysis of GDP disparities among European regions: A Markov chains approach ,"
LATEC - Document de travail - Economie (1991-2003)
2001-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
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