Corvinus
Corvinus

Convergence stories of post‐socialist Central‐Eastern European countries

Baksa, Dániel and Kónya, István ORCID: https://orcid.org/0009-0006-4761-9435 (2021) Convergence stories of post‐socialist Central‐Eastern European countries. Manchester School, 89 (3). pp. 239-258. DOI https://doi.org/10.1111/manc.12360

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Official URL: https://doi.org/10.1111/manc.12360


Abstract

This paper views the growth and convergence process of five Central‐Eastern European economies between 1996 and 2019—the Czech Republic, Hungary, Poland, Slovenia and Slovakia—through the lens of an open economy, stochastic neoclassical growth model with simple financial frictions. Our main question is whether shocks to the growth rate of productivity (‘trend’) or shocks to the external interest premium are more important to understand the volatility of GDP growth and its components. We find that while GDP growth fluctuations can be traced back to productivity shocks, the composition of GDP—and consumption in particular—was driven particularly by premium shocks. Investment‐specific and labor market shocks are also important. Our panel estimation allows us to separate global and local components for the productivity‐trend and interest premium shocks. Results indicate that the global trend component is well approximated by the growth rate of the advanced European Union economies, and we also find tentative evidence that recent investment behavior is driven to a large extent by European Union funds.

Item Type:Article
Uncontrolled Keywords:Bayesian estimation; interest premium; small open economy; stochastic growth; technology shocks
JEL classification:E13 - General Aggregative Models: Neoclassical
O11 - Macroeconomic Analyses of Economic Development
O41 - One, Two, and Multisector Growth Models
O47 - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Divisions:Institute of Economics
Subjects:Economic development
Economic history
Funders:Ministry of Innovation and Technology, Higher Education Institutional Excellence Program 2020, Hungarian Scientific Research Fund
Projects:TKP2020-IKA-02, K116033
DOI:https://doi.org/10.1111/manc.12360
ID Code:12965
Deposited By: MTMT SWORD
Deposited On:03 Jul 2026 11:23
Last Modified:03 Jul 2026 11:23

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