Author:
K. Major Corvinus University of Budapest Department of Macroeconomics 8 Fővám tér H-1093 Budapest Hungary

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It is known that the simple Markov chain model overestimates the long run horizon mobility of the income distribution process. Dissolving the homogeneity assumption of the Markov model may lead to better forecasts. One generalisation of the Markov model, the Mover-Stayer model assumes heterogenous population: some units are moving according to a common Markov chain, but there are some (unknown) units that are not moving at all. They are called stayers.Based on the Frydman (1984) methodology if we compute both the Markov and Mover-Stayer models for Hungarian micro-regions income data, we find that the Mover-Stayer model fits better the regional relative income data than the simple Markov model. Using likelihood ratio test statistics we show that the difference is highly significant. The method is also applied for spatially conditioned data. The results show that the high persistence of relative income positions is a remarkable feature of the Hungarian economy in 1990–2003 both on a country-wide scale and local level. We also demonstrate that forecasts made on a less reliant model might lead to very ambiguous results.

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Senior editors

Editors-in-Chief: István P. Székely, Dóra Győrffy

Editor(s): Judit Kálmán

Associate Editors

  • Péter Benczúr, Joint Joint Research Center, European Commission
  • Dóra Benedek, International Monetary Fund
  • Balázs Égert, OECD
  • Dániel Prinz, World Bank
  • Rok Spruk, University of Ljubljana, School of Economics and Business, Slovenia

Editorial Board

  • Anders Åslund, Georgetown University and Advisory Council of CASE, USA
  • István Benczes, Corvinus University of Budapest, Hungary 
  • Agnieszka Chłoń-Domińczak, SGH Warsaw School of Economics, Poland
  • Fabrizio Coricelli, University of Siena, Italy
  • László Csaba, Corvinus University of Budapest, Hungary and Central European University, Austria
  • Beáta Farkas, Faculty of Economics and Business Administration, University of Szeged, Hungary
  • Péter Halmai, Budapest University of Technology and Economics, and National University of Public Service, Hungary
  • Martin Kahanec, Central European University, Austria
  • Michael Landesmann, The Vienna Institute for International Economic Studies (WIIW), Austria
  • Péter Mihályi, Corvinus University of Budapest, Hungary
  • Debora Revoltella, European Investment Bank

Corvinus University of Budapest
Department of Economics
Fővám tér 8 Budapest, H-1093, Hungary
E-mail: judit.kalman@uni-corvinus.hu

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2023  
Web of Science  
Journal Impact Factor 0.7
Rank by Impact Factor Q3 (Economics)
Journal Citation Indicator 0.23
Scopus  
CiteScore 1.4
CiteScore rank Q3 (Economics and Econometrics)
SNIP 0.385
Scimago  
SJR index 0.218
SJR Q rank Q4

Acta Oeconomica
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Acta Oeconomica
Language English
Size B5
Year of
Foundation
1966
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0001-6373 (Print)
ISSN 1588-2659 (Online)

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