IDEAS home Printed from https://ideas.repec.org/p/mnb/wpaper/2010-11.html
   My bibliography  Save this paper

A Structural Vector Autoregressive (SVAR) model for the Hungarian labour market

Author

Listed:
  • Zoltán M. Jakab

    (Office of Fiscal Council, Republic of Hungary)

  • Éva Kaponya

    (Magyar Nemzeti Bank)

Abstract

This paper presents a Structural Vector Autoregressive (SVAR) model with particular attention to the Hungarian labour market. The identification of structural shocks is based on sign restrictions. We identify four structural shocks: a labour supply, an aggregate supply, an aggregate demand and a monetary policy shock. It is worth emphasising that a negative labour supply shock cannot be distinguished from minimum wage hikes in this model. Impulse response analysis shows that after an aggregate supply shock, real wages react more persistently and to a greater extent than prices. In addition, aggregate supply and monetary policy shocks induce relatively strong reactions on the real side of the economy. Unlike in estimated DSGE models for Hungary, we found a positive response of employment with respect to monetary policy shock. All impulse responses are estimated to be less persistent than in the SVAR model estimated using eurozone data pointing to a more flexible Hungarian economy. Our impulse responses are closer to the DSGE model of Jakab and Világi (2008) and Baksa, Benk and Jakab (2009) than to the model of Jakab and Kónya (2009) which describes a relatively rigid labour market. Historical decomposition exercises revealed the presence of positive labour supply shocks between 2003 and 2006. The other important factor in explaining employment was aggregate supply shock. Neither monetary nor aggregate demand shocks contributed significantly to employment fluctuations.

Suggested Citation

  • Zoltán M. Jakab & Éva Kaponya, 2010. "A Structural Vector Autoregressive (SVAR) model for the Hungarian labour market," MNB Working Papers 2010/11, Magyar Nemzeti Bank (Central Bank of Hungary).
    • Handle: RePEc:mnb:wpaper:2010/11
    as

    Download full text from publisher

    File URL: http://www.mnb.hu/letoltes/wp-2010-11.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    2. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    3. Michal Benèík, 2022. "United in Diversity. Labor Markets in the CEE Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(4), pages 333-348, April.
    4. Michal Benèík, 2022. "United in Diversity. Labor Markets in the CEE Countries," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(4), pages 333-348, April.

    More about this item

    Keywords

    Bayesian; VAR; employment; inflation; wage; labour economics;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mnb:wpaper:2010/11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lorant Kaszab (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.html .

    Please note that corrections may 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.