IDEAS home Printed from https://ideas.repec.org/f/pma3380.html
   My authors  Follow this author

Laszlo Matyas

Personal Details

First Name:Laszlo
Middle Name:
Last Name:Matyas
Suffix:
RePEc Short-ID:pma3380
https://laszlo.matyas.ceu.edu/

Affiliation

Department of Economics and Business
Central European University

Wien, Austria
http://economics.ceu.edu/
RePEc:edi:deceuat (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters Books

Working papers

  1. Felix Chan & Laszlo Matyas, 2024. "Estimation with Pairwise Observations," Papers 2401.11229, arXiv.org, revised Feb 2024.
  2. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
  3. Samuele Centorrino & Jean-Pierre Florens & Jean-Michel Loubès, 2022. "Fairness in Machine Learning and Econometrics," Post-Print hal-04040498, HAL.
  4. Felix Chan & Ágoston Reguly & László Mátyás, 2019. "Modelling with Discretized Ordered Choice Covariates," CEU Working Papers 2019_2, Department of Economics, Central European University.
  5. Laszlo Balazsi & Felix Chan & Laszlo Matyas, 2018. "Even Count Estimation," CEU Working Papers 2018_2, Department of Economics, Central European University.
  6. Richard Blundell & Estelle Cantillon & Barbara Chizzolini & Marc Ivaldi & Wolfgang Leininger & Ramon Marimon & Laszlo Matyas & Frode Steen, 2017. "Economics without Borders: Economic Research for European Policy Challenges," ULB Institutional Repository 2013/224908, ULB -- Universite Libre de Bruxelles.
  7. Peter Farkas & Laszlo Matyas, 2015. "Testing for Unit Roots in Panel Data with Boundary Crossing Counts," CEU Working Papers 2015_5, Department of Economics, Central European University, revised 03 Nov 2015.
  8. Laszlo Balazsi & Laszlo Matyas & Tom J. Wansbeek, 2015. "The Estimation of Multi-dimensional Fixed Effects Panel Data Models," CESifo Working Paper Series 5251, CESifo.
  9. Daria Pus & László Mátyás & Cecilia Hornok, 2013. "Modelling Firm-Product Level Trade: A Multi-Dimensional Random Effects Panel Data Approach," CEU Working Papers 2013_2, Department of Economics, Central European University, revised 08 May 2013.
  10. László Mátyás & Cecilia Hornok & Daria Pus, 2012. "The Formulation and Estimation of Random Effects Panel Data Models of Trade," CEU Working Papers 2012_1, Department of Economics, Central European University, revised 25 Mar 2013.
  11. Matyas, Laszlo & Balazsi, Laszlo, 2011. "The estimation of three-dimensional fixed effects panel data models," MPRA Paper 34976, University Library of Munich, Germany.
  12. Konya, Laszlo & Matyas, Laszlo & Harris, Mark, 2011. "GATT/WTO membership does promote international trade after all – Some new empirical evidence," MPRA Paper 34978, University Library of Munich, Germany, revised 20 Nov 2011.
  13. Mark Harris & Laszlo Matyas & Patrick Sevestre, 2008. "Dynamic Models for Short Panels," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279980, HAL.
  14. Badi H. Baltagi & Laszlo Matyas & Patrick Sevestre, 2008. "Error Components Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279979, HAL.
  15. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
  16. Max Gillman & Mark Harris & László Mátyás, 2002. "Inflation and Growth: Some Theory and Evidence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D5-1, International Conferences on Panel Data.
  17. Mark N. Harris & Max Gillman & László Mátyás, 2001. "The Negative Inflation-Growth Effect: Theory and Evidence," Melbourne Institute Working Paper Series wp2001n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  18. Mark N. Harris & László Kónya & László Mátyás, 2000. "Modelling the Impact of Environmental Regulations on Bilateral Trade Flows: OECD 1990-96," Melbourne Institute Working Paper Series wp2000n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  19. László Mátyás & László Kónya & Mark N. Harris, 2000. "Modelling Export Activity of Eleven APEC Countries," Melbourne Institute Working Paper Series wp2000n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  20. Matyas, L. & Konya, L. & Macquarie, L., 1997. "The Kuznets U-Curve Hypothesis: Some Panel Data Evidence," Monash Econometrics and Business Statistics Working Papers 7/97, Monash University, Department of Econometrics and Business Statistics.
  21. Matyas, L. & Konya, L. & Harris, M.N., 1997. "Modelling Export Activity in a Multicountry Economic Area : The APEC Case," Monash Econometrics and Business Statistics Working Papers 1/97, Monash University, Department of Econometrics and Business Statistics.
  22. Korosi, G. & Longmire, R. & Matyas, L., 1996. "Aggregation and Cointegration," Monash Econometrics and Business Statistics Working Papers 20/96, Monash University, Department of Econometrics and Business Statistics.
  23. Harris, M.N. & Longmire, R.J. & Matyas, L., 1996. "The Robustness of Estimators for Dynamic Panel Data Models to Misspecification," Monash Econometrics and Business Statistics Working Papers 9/96, Monash University, Department of Econometrics and Business Statistics.
  24. Harris, M.N. & Matyas, L., 1996. "A Comparative Analysis of Different Estimatiors for Dynamic Panel data Models," Monash Econometrics and Business Statistics Working Papers 4/96, Monash University, Department of Econometrics and Business Statistics.
  25. Lee, M. & Longmire, R. & Matyas, L. & Harris, M., 1996. "Growth Convergence: Some Panel Data Evidence," Monash Econometrics and Business Statistics Working Papers 14/96, Monash University, Department of Econometrics and Business Statistics.
  26. Pierre Blanchard & Laszlo Matyas, 1995. "Misspecified Heterogeneity in Panel Data Models," Monash Econometrics and Business Statistics Working Papers 10/95, Monash University, Department of Econometrics and Business Statistics.
  27. Gabor Korosi & Laszlo Matyas, 1995. "The INITB Macros User's Guide: A Macro Collection to Write Books Using TEX," Monash Econometrics and Business Statistics Working Papers 9/95, Monash University, Department of Econometrics and Business Statistics.
  28. Lieberman, O. & Matyas, L., 1994. "Improved Estimation Procedures for Nonlinear Panel Data Models," Monash Econometrics and Business Statistics Working Papers 15/94, Monash University, Department of Econometrics and Business Statistics.
  29. Blanchard, P. & Matyas, L., 1994. "Robustness of Tests for Error Component Models to Nonnormality," Monash Econometrics and Business Statistics Working Papers 3/94, Monash University, Department of Econometrics and Business Statistics.

Articles

  1. Imre Ferenc Barna & László Mátyás, 2022. "Advanced Analytic Self-Similar Solutions of Regular and Irregular Diffusion Equations," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
  2. Mahmoud Saleh & Endre Kovács & Imre Ferenc Barna & László Mátyás, 2022. "New Analytical Results and Comparison of 14 Numerical Schemes for the Diffusion Equation with Space-Dependent Diffusion Coefficient," Mathematics, MDPI, vol. 10(15), pages 1-26, August.
  3. Imre Ferenc Barna & Mihály András Pocsai & László Mátyás, 2022. "Time-Dependent Analytic Solutions for Water Waves above Sea of Varying Depths," Mathematics, MDPI, vol. 10(13), pages 1-16, July.
  4. Laszlo Balazsi & Felix Chan & Laszlo Matyas, 2022. "Event count estimation," Econometric Reviews, Taylor & Francis Journals, vol. 41(2), pages 147-176, February.
  5. Bőgel, György & Mátyás, László, 2020. "Kis pénz, nagy teljesítmény?. A hazai tudományos kutatás versenyképességéről [High performance for little money?. On competitiveness in Hungarian scientific research]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 88-102.
  6. Laszlo Balazsi & Laszlo Matyas & Tom Wansbeek, 2018. "The estimation of multidimensional fixed effects panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 212-227, March.
  7. Imre F. Barna & Mihály A. Pocsai & L. Mátyás, 2018. "Self-Similarity Analysis of the Nonlinear Schrödinger Equation in the Madelung Form," Advances in Mathematical Physics, Hindawi, vol. 2018, pages 1-5, October.
  8. Mátyás, László & Balázsi, László & Dömötör, Erika, 2016. "Emberi tényező a gazdaságban. Összegzés a COEURE-projekt tanulmányaiból, I [The human factor in the economy. Summary of the COEURE project studies, I]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 407-430.
  9. Mátyás, László & Balázsi, László & Dömötör, Erika, 2016. "Gazdasági növekedés, válság és szabályozás. Összegzés a COEURE-projekt tanulmányaiból, II [Economic growth, crisis and regulation. Summary of the COEURE project studies, Part II]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 524-547.
  10. Mátyás, László & Balázsi, László & Dömötör, Erika, 2016. "A gazdaság térbelisége, városok, régiók, kereskedelem és természeti környezetünk. Összegzés a COEURE-projekt tanulmányaiból, III [The spatial economy: towns, regions, trade and environment. Summary," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 673-696.
  11. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
  12. Valentinyi, Ákos & Kézdi, Gábor & Kondor, Péter & Benczúr, Péter & Mátyás, László, 2013. "Javaslat a magyarországi közgazdasági doktori képzés korszerűsítésére [Proposal for modernizing the doctoral training for economics in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 722-732.
  13. Mark N. Harris & László Kónya & László Mátyás, 2012. "Some Stylized Facts about International Trade Flows," Review of International Economics, Wiley Blackwell, vol. 20(4), pages 781-792, September.
  14. Mátyás, L. & Barna, I.F., 2011. "Geometrical origin of chaoticity in the bouncing ball billiard," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1111-1116.
  15. Mark N. Harris & Weiping Kostenko & László Mátyás & Isfaaq Timol, 2009. "The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(03), pages 399-426.
  16. Max Gillman & Mark N. Harris & László Mátyás, 2004. "Inflation and growth: Explaining a negative effect," Empirical Economics, Springer, vol. 29(1), pages 149-167, January.
  17. Matyas, L. & Konya, L. & Harris, M.N., 2004. "Modelling Export Activity of Eleven APEC Countries, 1978-1997," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(4).
  18. Tél, Tamás & Vollmer, Jürgen & Mátyás, László, 2003. "Comments on the paper ‘Particles, maps and irreversible thermodynamics’ by E.G.D. Cohen, L. Rondoni, Physica A 306 (2002) 117," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 323-326.
  19. Mark N. Harris & László Kónya & László Mátyás, 2002. "Modelling the Impact of Environmental Regulations on Bilateral Trade Flows: OECD, 1990–1996," The World Economy, Wiley Blackwell, vol. 25(3), pages 387-405, March.
  20. Mark Harris & Laszlo Matyas, 2000. "Performance of the operational Wansbeek-Bekker estimator for dynamic panel data models," Applied Economics Letters, Taylor & Francis Journals, vol. 7(3), pages 149-153.
  21. László Mátyás, 1998. "The Gravity Model: Some Econometric Considerations," The World Economy, Wiley Blackwell, vol. 21(3), pages 397-401, May.
  22. Laszlo Matyas & Laszlo Konya & Lachlan MaCquarie, 1998. "The Kuznets U-curve hypothesis: some panel data evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(11), pages 693-697.
  23. Michael Lee & Ritchard Longmire & Laszlo Matyas & Mark Harris, 1998. "Growth convergence: some panel data evidence," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 907-912.
  24. Laszlo Matyas, 1997. "Proper Econometric Specification of the Gravity Model," The World Economy, Wiley Blackwell, vol. 20(3), pages 363-368, May.
  25. Blanchard, Pierre & Matyas, Laszlo, 1996. "Robustness of tests for error components models to non-normality," Economics Letters, Elsevier, vol. 51(2), pages 161-167, May.
  26. László Mátyás & Gábor Kőrösi, 1996. "The determinants of foreign direct investment in transforming economies: A comment," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 132(2), pages 390-393, September.
  27. Kőrösi, Gábor & Lovrics, László & Mátyás, László, 1995. "Aggregation and the long run properties of economic time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 279-286.
  28. Korosi, Gabor & Matyas, Laszlo & Szekely, Istvan P, 1993. "Comparative Review of Some Econometric Software Packages," Journal of Economic Surveys, Wiley Blackwell, vol. 7(1), pages 105-118.
  29. Matyas, Laszlo & Lovrics, Laszlo, 1992. "Simultaneous error components models when panel data are incomplete," Economics Letters, Elsevier, vol. 39(3), pages 251-259, July.
  30. Jozsef, Sandor & Korosi, Gabor & Matyas, Laszlo, 1992. "A possible new approach of panel modelling," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 357-374, December.
  31. Blundell, Richard & Matyas, Laszlo, 1992. "Panel data analysis: An introductory overview," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 291-299, December.
  32. Matyas, Laszlo & Lovrics, Laszlo, 1991. "Missing observations and panel data : A Monte-Carlo analysis," Economics Letters, Elsevier, vol. 37(1), pages 39-44, September.
  33. Matyas, Laszlo & Lovrics, Laszlo, 1990. "Small sample properties of simultaneous error components models," Economics Letters, Elsevier, vol. 32(1), pages 25-34, January.

Chapters

  1. László Balázsi & Badi H. Baltagi & László Mátyás & Daria Pus, 2024. "Random Effects Models," Advanced Studies in Theoretical and Applied Econometrics, in: Laszlo Matyas (ed.), The Econometrics of Multi-dimensional Panels, edition 2, chapter 0, pages 61-98, Springer.
  2. Felix Chan & László Mátyás & Ágoston Reguly, 2024. "When and How Much Do Fixed Effects Matter?," Advanced Studies in Theoretical and Applied Econometrics, in: Laszlo Matyas (ed.), The Econometrics of Multi-dimensional Panels, edition 2, chapter 0, pages 39-60, Springer.
  3. László Balázsi & László Mátyás & Tom Wansbeek, 2024. "Fixed Effects Models," Advanced Studies in Theoretical and Applied Econometrics, in: Laszlo Matyas (ed.), The Econometrics of Multi-dimensional Panels, edition 2, chapter 0, pages 1-37, Springer.
  4. Felix Chan & László Mátyás, 2022. "Linear Econometric Models with Machine Learning," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 1-39, Springer.
  5. László Mátyás & György Bőgel & Mark Knell & Ludovit Odor & Marzenna A. Weresa, 2022. "Research & Development and Higher Education," Contributions to Economics, in: László Mátyás (ed.), Emerging European Economies after the Pandemic, chapter 0, pages 515-574, Springer.

Books

  1. Laszlo Matyas (ed.), 2024. "The Econometrics of Multi-dimensional Panels," Advanced Studies in Theoretical and Applied Econometrics, Springer, edition 2, number 978-3-031-49849-7, July-Dece.
  2. László Mátyás (ed.), 2022. "Emerging European Economies after the Pandemic," Contributions to Economics, Springer, number 978-3-030-93963-2, September.
  3. Felix Chan & László Mátyás (ed.), 2022. "Econometrics with Machine Learning," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-031-15149-1, July-Dece.
  4. Laszlo Matyas (ed.), 2017. "The Econometrics of Multi-dimensional Panels," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-319-60783-2, July-Dece.
  5. Matyas,Laszlo & Blundell,Richard & Cantillon,Estelle & Chizzolini,Barbara & Ivaldi,Marc & Leininger, (ed.), 2017. "Economics without Borders," Cambridge Books, Cambridge University Press, number 9781316636398.
  6. Matyas,Laszlo & Blundell,Richard & Cantillon,Estelle & Chizzolini,Barbara & Ivaldi,Marc & Leininger, (ed.), 2017. "Economics without Borders," Cambridge Books, Cambridge University Press, number 9781107185159.
  7. János Kornai & László Mátyás & Gérard Roland (ed.), 2009. "Corruption, Development and Institutional Design," International Economic Association Series, Palgrave Macmillan, number 978-0-230-24217-3.
  8. János Kornai & László Mátyás & Gérard Roland (ed.), 2008. "Institutional Change and Economic Behaviour," International Economic Association Series, Palgrave Macmillan, number 978-0-230-58342-9.
  9. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
  10. Matyas,Laszlo (ed.), 1999. "Generalized Method of Moments Estimation," Cambridge Books, Cambridge University Press, number 9780521660136.
  11. Matyas,Laszlo (ed.), 1999. "Generalized Method of Moments Estimation," Cambridge Books, Cambridge University Press, number 9780521669672.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Citations
  2. Number of Citations, Weighted by Number of Authors
  3. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  4. Number of Registered Citing Authors
  5. Number of Registered Citing Authors, Weighted by Rank (Max. 1 per Author)
  6. Euclidian citation score
  7. Breadth of citations across fields

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 12 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (10) 2011-12-19 2012-02-27 2012-05-15 2013-03-02 2014-03-01 2015-11-15 2018-05-07 2019-05-13 2024-02-26 2024-04-29. Author is listed
  2. NEP-INT: International Trade (2) 2011-12-13 2013-03-02
  3. NEP-EDU: Education (1) 2016-01-29
  4. NEP-ETS: Econometric Time Series (1) 2015-11-15
  5. NEP-MAC: Macroeconomics (1) 2024-02-26
  6. NEP-UPT: Utility Models and Prospect Theory (1) 2019-05-13

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Laszlo Matyas should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.