A small forward-looking inter-country model (Belarus, Russia and Ukraine)

Charemza, Wojciech; Makarova, Svetlana; Prytula, Yaroslav; Raskina, Yulia; Vymyatnina, Yulia

doi:10.1016/j.econmod.2009.05.005

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…There are also several studies providing support for the importance of regional spillovers for CIS inflation, including Comunale & Simola (2018), Faryna (2016) and Becker & Fidrmuc (2013). The effects of regional spillovers on CIS exchange rate development are considered in Charemza et al (2009) and Dreger & Fidrmuc (2011).…”

Section: Previous Literaturementioning

confidence: 99%

The transmission of international shocks to CIS economies: A global VAR approach

Faryna

Simola²

2021

Economic Systems

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The Working Paper Series of the National Bank of Ukraine (NBU) presents the independent research of the staff of the NBU or outside contributors on topics relevant to central banks. The purpose of the Working Papers is to provide the platform for discussion and critical comments. The Working Papers are reviewed internationally to ensure the high quality of the content. The opinions and conclusions in the papers are strictly those of author(s) and do not necessarily reflect the views of the National Bank of Ukraine or of the Board members.

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Section: Previous Literaturementioning

confidence: 99%

The transmission of international shocks to CIS economies: A global VAR approach

Faryna

Simola²

2021

Economic Systems

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“…We decided to include time-fixed effects in our specification to account for any possible common events (e.g. the oil crises of 1973 and 1979, the Asian financial crisis of 1997, the Great Recession of 2008-2009. To check our reasoning, we verified through the likelihood ratio test that we do need both cross-section and period fixed effects.…”

Section: Baseline Modelsmentioning

confidence: 99%

“…Indeed, it is often the result of an attempt by monetary authorities to reduce inflationary pressures and stabilize exchange rates at the same time. Appreciation pressure in situations of high-resource prices results in the central bank buying foreign currency to keep the nominal exchange rate at a certain level, and this contributes to inflation (Charemza et al, 2009;Sosunov and Zamulin, 2007). This hypothesis calls in for additional control variables that we use later on, e.g.…”

Section: Baseline Modelsmentioning

confidence: 99%

Inflation and Population Age Structure: The Case of Emerging Economies

Antonova¹,

Vymyatnina²

2018

RJMF

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This paper examines the relationship between inflation and population age structure for emerging market economies. We form an unbalanced panel of data for 21 countries for the period 1950-2017 and include a number of additional control variables-terms of trade, exchange rate regime, debt-to-GDP ratio, broad money supply growth rates, and PPP-adjusted GDP per capita index. After estimating a variety of model specifications and robustness checks we conclude that the elderly group (65+) in these sample of countries is deflationary, the young group (0-19) shows weak signs of being deflationary, and the working group (20-64) is found to be inflationary. The deflationary effect of the elderly has been found in some studies for OECD countries, but the findings regarding the young group being deflationary and the working group being inflationary are new. Therefore, the question about the general empirical relation between inflation and the population age structure remains unsettled, and it is probable that the relation between population age structure and other macroeconomic variables is different for emerging market economies and for advanced countries.

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“…Extensive research has shown that business and financial cycles are highly correlated, especially in the countries that are members of some economic unions as they tied by trade linkages (Charemza et al, 2009;Gazda, 2010Gazda, & 2008Prince, 2017) or financial integration (Stremmel & Zsamboki, 2015;Kaminsky & Reinhart, 2000;Kovacic, & Vilotic, 2017;Mazur, 2017). The role of the behavioural side of the financial system of the economy for macroeconomic dynamics has also been well-documented empirically and grounded theoretically.…”

Section: Introductionmentioning

confidence: 99%

Trust cycle of the finance sector and its determinants: The case of Ukraine

Brychko¹,

Polách²,

Kuzmenko³

et al. 2019

Journal of International Studies

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The paper presents the results of exploring the characteristics of trust cycle in the financial sector of the economy in general and across its main components (trust in banking and non-bank financial and credit systems) illustrated by the economy in transition-Ukraine-for the period 1st quarter 2009-1st quarter 2018. Determinants of nonlinear dynamics of public trust in the financial sector of the economy were also identified. For this purpose, an algorithm has been developed that enables studying the cyclical nature of public trust in the financial sector and testing the hypotheses about the determinants of its nonlinear dynamics. To highlight the cyclical component of the time series, harmonic analysis via Fourier transformations was used. In order to analyze public trust in the financial sector and its main components the following indicators were used: absolute volatility, relative volatility (in relation to financial and business cycles), the persistence of actual values and cyclic components, correlation with financial and business cycles. Our main

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A small forward-looking inter-country model (Belarus, Russia and Ukraine)

Cited by 6 publications

References 14 publications

The transmission of international shocks to CIS economies: A global VAR approach

The transmission of international shocks to CIS economies: A global VAR approach

Inflation and Population Age Structure: The Case of Emerging Economies

Trust cycle of the finance sector and its determinants: The case of Ukraine

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