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№ 2018/1

Forecasting methods and models


SKRYPNYCHENKO Mariya Illivna1, YATSENKO Hanna Yuriyivna2

1Institute for Economics and Forecasting, NAS of Ukraine
2Institute for Economics and Forecasting, NAS of Ukraine

An instrumental analysis of GDP gap in Ukraine

Ekon. prognozuvannâ 2018; 1:58-78https://doi.org/10.15407/eip2018.01.058


ABSTRACT ▼


JEL: С51, O11, O47

Article in Ukrainian (pp. 58 - 78) DownloadDownloads :942

REFERENCES ▼

1. Statistical Methods for Potential Output Estimation and Cycle Extraction (2003). Working Papers and Studies. European Communities. Retrieved from ec.europa.eu/eurostat/documents/3888793/5815765/KS-AN-03-015-EN.PDF/19128aef-fe5c-47ea-b7a1-c1f6a412258e
2. Nikolajchuk, S.A., Marijko, Ye.B. (2007). Estimation of Equilibrium and Cyclic Components of Macroeconomic Indicators Using the Kalman Filter. Visnyk NBU – Bulletin of the NBU, 5, 58-64 [in Ukrainian].
3. Kloudova, D., Malecek, P., Janicko, M. (2013). Potential output and output gap in Russia. Shevchenko Spring: Economy: Proceedings of International Science-Practice Conf. of Students, Graduate Students and Young Scientists, XI, 85-88. Kyiv: DP "Print-Servis" [in Ukrainian].
4. Razzak, W.A., Dennis R. (1999). The output gap using the Hodrick-Prescott filter with a non-constant smoothing parameter: an application to New Zealand. Working Paper. Reserve Bank of New Zealand. Retrieved from www.researchgate.net
5. Konuki, T. (2008). Estimating Potential Output and the Output Gap in Slovakia. IMF Working Paper. doi: doi.org/10.5089/9781451871333.001
6. Roeger, Werner and Ongena, Hedwig (November 28, 1998). The Commission Services' Cyclical Adjustment Method. Bank of Italy Indicators of Structural Budget Balances Conference, 17. Retrieved from papers.ssrn.com/sol3/papers.cfm?abstract_id=2109634
7. Fedorenko, I.K., Nikolajchuk, S.A. (2005). Measuring the GDP gap and its relation to inflation. Teoretychni ta praktychni pytannia ekonomiky – Theoretical and practical questions of economics, 7, 63-74. Kyiv: Taras Shevchenko National University of Kyiv [in Ukrainian].
8. Bilan, Yu., Hazda, Ya., Hodzhishevs'kyj, B. (2012). Derivative variables as indicators of the economic downturn in Poland and Ukraine. Aktual'ni problem ekonomiky – Actual problems of the economy, 3, 331-339. Retrieved from nbuv.gov.ua/UJRN/ape_2012_3_43 [in Ukrainian].
9. Shumska, S.S. (2017). Prospects for growth of Ukraine's economy against the backdrop of global trends. Ekon. prognozuvannâ – Economy and forecasting, 3, 7-30. doi: doi.org/10.15407/eip2017.03.007 [in Ukrainian].
10. Nikolajchuk, S., Sholomyts'kyj, Yu. (2015). Use of macroeconomic models for monetary policy in Ukraine. Visnyk NBU – Bulletin of the NBU, 233, 58-69. Retrieved from bank.gov.ua/doccatalog/document?id=22209423 [in Ukrainian].
11. Micallef, B. (2016). A multivariate filter to estimate potential output and NAIRU for the Maltese economy. International Journal of Economics and Finance, 8: 5. doi: doi.org/10.5539/ijef.v8n5p13
12. Inflation Report of the National Bank of Ukraine. Retrieved from www.bank.gov.ua/doccatalog/document?id=52932 [in Ukrainian].
13. Andrianov, D.L., Shul'c, D.N., Oshhepkov, I.A. (2015). Dynamic stochastic model of Russia's general economic equilibrium. Vestnik Nizhegorodskogo universiteta im. N.I.Lobachevskogo – Bulletin of the N.I.Lobachevsky Nizhny Novgorod University, 2(38), 18-25 [in Russian].
14. Potential Output in DSGE Models (2011). European Central Bank Working Paper Series, 1351. Retrieved from www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1351.pdf?2cfcf06dca35069984374de500a48a11
15. Cepremap, M.J., Kumhof, M., Kamenik, O., Laxton, D. Measures of Potential Output from an Estimated DSGE Model of the United States. Retrieved from www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1351.pdf?2cfcf06dca35069984374de500a48a11
16. Herber, P., Nemec, D. Estimating Output Gap in the Czech Republic: DSGE Approach. Retrieved from is.muni.cz/repo/846858/paper_mme09_final.pdf
17. Mazzi, J.L., Mitchell, J., Moauro, F. (2016). Structural vector autoregressive (SVAR) based estimates of the euro area output gap: theoretical considerations and empirical evidence. Eurostat. Retrieved from ec.europa.eu/eurostat/documents/3888793/7572112/KS-TC-16-009-EN-N.pdf/f926577f-fdd0-4ed0-86d6-83c94d2b6135
18. Contreras, G., Garcia, P. Estimating Gaps and Trends for the Chilean Economy. Banco Central de Chile, Documento de Trabajo 165. Retrieved from www.bcentral.cl/estudios/banca-central/pdf/v6/523_554contreras_garcia.pdf
19. Pina, A.M. (2002). Estimating Output Gaps for the Portuguese Economy: The Production Function Approach. DGEP, Ministere des Finances. Retrieved from www.amenezes.uac.pt/macroeconomiaI/papers/w-paper28.pdf
20. Skrypnychenko, M.I. (2004). Sectoral and transnational models of economic development. Kyiv: Feniks [in Ukrainian].
21. Grech, A.G. (2014). Investigating potential output using the Hodrick-Prescott filter: An Application for Malta. Central Bank of Malta Working Paper, 2, 33.
22. Skrypnychenko, M.I., Kuzubov, M.V., Yatsenko, H.Yu. (2016). Complex of models of monitoring of key macro-balances in the economy of Ukraine. Formuvannia rynkovykh vidnosyn v Ukraini – Formation of market relations in Ukraine, 7(182), 57-65 [in Ukrainian].
23. Yatsenko, H.Yu. (2015). Methods and models for identifying threatening economic imbalances. Visnyk Instytutu ekonomiky ta prohnozuvannia – Journal of the Institute of Economics and Forecasting, 67-74 [in Ukrainian].
24. Consumer confidence in Ukraine, December 2016: the index was 57.1. Retrieved from www.gfk.com/uk-ua/rishennja/press-release/cci-dec-2016/ [in Ukrainian].
25. Ukraine occupies the last place in Europe in terms of wages. Retrieved from azov.press/ukr/ukraina-posida-ostann-misce-v-vropi-za-rivnem-zarobitnoi-plati [in Ukrainian].
26. How to break the vicious circle of low wages. Retrieved from dt.ua/macrolevel/yak-rozirvati-porochne-kolo-nizkih-zarobitnih-plat-_.html [in Ukrainian].