How Regional Business Cycles Diffuse through Space and Time Evidence from Spatial Markov Model of Polish NUTS-3 Regions

Authors

DOI:

https://doi.org/10.24425/cejeme.2023.149072

Keywords:

business cycle, spatial autoregression, NUTS-3, Markov switching

Abstract

In a national economy, are individual subnational regions business cycle
takers or setters? We address this important regional policy question by
investigating regional business cycles at NUTS-3 granularity in Poland (N = 73),
using two metrics in parallel: GDP dynamics and unemployment. To extract
the business cycle, we use a spatial Markov switching model that features both
idiosyncratic business cycle fluctuations across regions (as a 2-state chain), as
well as spatial interactions with other regions (as spatial autoregression). The
posterior distribution of the parameters is simulated with a Metropolis-withinGibbs procedure. We find a clear division into business cycle setters and takers,
the latter being largely (but not only) non-metropolitan regions.

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Published

2023-10-30

How to Cite

Rabiej, A., Sikora-Kruszka, D., & Torój, A. (2023). How Regional Business Cycles Diffuse through Space and Time Evidence from Spatial Markov Model of Polish NUTS-3 Regions. Central European Journal of Economic Modelling and Econometrics, 15(4), 345–383. https://doi.org/10.24425/cejeme.2023.149072

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