IDEAS home Printed from https://ideas.repec.org/p/sgh/kaewps/2023082.html
   My bibliography  Save this paper

How regional business cycles diffuse across space and time: evidence from a Bayesian Markov switching panel of GDP and unemployment in Poland

Author

Listed:
  • Agnieszka Rabiej
  • Dominika Sikora
  • Andrzej Torój

Abstract

We investigate the regional business cycles at NUTS-3 granularity in Poland (N=73) using two variables in parallel: GDP dynamics and unemployment. The model allows for both idiosyncratic business cycle fluctuations in a region in the form of 2-state Markov chain, as well as spatial interactions with other regions. The posterior distribution of the parameters is simulated with a Metropolis-within-Gibbs procedure. We find that the regions can be classified into business cycle setters and takers, and this classification exhibits a high degree of overlap with the line of division between metropolitan versus peripheral regions. We also find that, under large N, the fixed-effects methods, as proposed in the previous literature, are vulnerable to both identification issues and (MCMC) convergence problems, especially with short T, which is of critical importance in GDP on the considered spatial granularity level.

Suggested Citation

  • Agnieszka Rabiej & Dominika Sikora & Andrzej Torój, 2023. "How regional business cycles diffuse across space and time: evidence from a Bayesian Markov switching panel of GDP and unemployment in Poland," KAE Working Papers 2023-082, Warsaw School of Economics, Collegium of Economic Analysis.
    • Handle: RePEc:sgh:kaewps:2023082
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/20.500.12182/1171
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    business cycle; spatial autoregression; NUTS-3; Markov switching; Bayesian analysis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:sgh:kaewps:2023082. 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: Dariusz Nojszewski (email available below). General contact details of provider: https://edirc.repec.org/data/kawawpl.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.