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№ 4/2004
1National University of "Kyiv-Mohyla Academy"
The impact of the change in the taxation of physical persons on labor motivation
| Ekon. prognozuvannâ 2004; 4:61-70 |
ABSTRACT ▼
The authors consider the impact of the change in the concept of physical persons tax on labor supply in Ukraine. The investigations conducted relate to the test of the assumption of the insignificant motivation of the increase in labor or working time supply with the change in the tax rates of the physical persons tax. The article shows that the change in the rate of the given tax has a stronger impact on part-time workers than on those employed full-time. To test the assumptions, the authors calculated wage elasticities, which were estimated on the basis of probability models and models of quantile regression.
Keywords:
| Article in Ukrainian (pp. 61 - 70) | Download | Downloads :303 |
REFERENCES ▼
2. Buriakovskyi V.V. Rol podatkiv u napovnenni biudzhetiv usikh rivniv Finansy Ukrainy, 2001, № 5, S. 78–81.
3. Ekonomika Ukrainy, strategiia i polityka dovgostrokovogo rozvytku , Za red. akad. NAN Ukrainy V.M.Geytsia, K., In-t ekon. prognozuv.; Feniks, 2003, 2008 s.
4. Zakon Ukrainy "Pro podatok z dokhodiv fizychnykh osib", K., Filiia DP red. Zhurn, "Visnyk podat. sluzhby Ukrainy", 2003, 84 s.
5. Luk’ianenko I.G, Gorodnichenko Yu.O. Suchasni ekonometrychni metody v finansakh, K., Litera, 2003, 348 s.
6. Bernardi L. Tax Policy in EU new members, Estonia and the other Baltic’s. Department of Public and Environmental Economics, University of Pavia, Italy, 2000.
7. Chen L-A, Portnoy S. Two-stage regression quantiles and trimmed least squares estimators for structural equations, Communications in Statistics-Theory and Methods, 1996, № 25.
8. Flood L. The Structure of the Tax-system and the Estimation of Labor Supply Models , Working Paper in Economics, 1998, № 1.
9. Gruber J, Saez E. The elasticity of taxable income, evidence and implications, NBER Working Paper Series, 2000
10. Lacroix G. and Fortin B. Utility-based estimation of labour supply functions in the regular and irregular sectors , The Econometric Journal,, 1992, Vol. 102, Issue 415.
11. Mitra P, Stern N. Tax Systems in Transition, World Bank Publications, 2003.
12. Verbeek, Marno. A guide to modern econometrics. Chichester, England, John Wiley and Sons, Ltd, 2000.
13. Buchinsky M. Changes in the US Wage Structure 1963–1987, Application of Quantile Regression, Econometrica, 1994, Vol 62, № 2.
14. Heckman J.J. Varieties of Selection Bias. The Emerican Economic Review, 1990, Vol. 80, Issue 2.
15. Heckman J.J. What has been learned about labor supply in the past twenty years?, The American Economic Review, 1993.– Vol. 83, Issue 2.
№ 2/2011
LUKIANENKO I. 1, ZHOOK V. 2
1National University of "Kyiv-Mohyla Academy"
2National University of "Kyiv-Mohyla Academy"
The modeling of the impacts of the changes in monetary environments on the economic and financial development of transitional economies
| Ekon. prognozuvannâ 2011; 2:130-151 |
ABSTRACT ▼
Various approaches to the analysis of the impacts of the fluctuations of the exchange rates on the economic conditions of the developed countries and transitional economies are explored. The author proposes a multi-rate non-linear econometric model of modification of exchange rates applicable for the analysis of structural transfor-mations. The integration of such model into the dynamic pattern of Ukraine’s financial sector has enabled the scholar to examine how the economy reacts to the inner and outer shocks and fluctuations of the exchange rates
Keywords:
| Article in Ukrainian (pp. 130 - 151) | Download | Downloads :343 |
REFERENCES ▼
2. Rotemberg J.J, Woodford M., An optimizationbased econometric framework for the evaluation of monetary policy: expanded version NBER Technical working paper, 1998, № 233, S. 1–55.
3. Woodford M., Interest and Prices, Foundations of a Theory of Monetary Policy. Princeton: Princeton University Press, 2003, 800 s.
4. Tovar C.E., DSGE Models and Central Banks, Economics Ejournal, 2009, T. 3, S. 1–31.
5. Bernanke B., Gertler M., Gilchrist S,. Financial accelerator in a quantitative business cycle framework NBER working paper series, 1998, 6455, S. 158.
6. Clarida R., Gali J., Gertler M., The Science of Monetary Policy: A New Keynesian Perspective, Journal of Economic Literature, 1999, T. XXXVII, S. 1667–1707.
7. Christiano L.J., Eichenbaum M., Evans C.L., Nominal rigidities and the dynamic effects of a shock to monetary policy Journal of Political Economy, 2005, T. 113, № 1, S. 1–45.
8. Lucas R.E., Econometric policy evaluation: A critique Carnegie-Rochester Conference Series on Public Policy, 1976, S. 19–46.
9. Harrison R. ta in. The Bank of England Quarterly Model, London , Bank of England, 2005, 244 s.
10. Smets F, Wouters R., An estimated dynamic stochastic general equilibrium model of the eurodata, ECB woring papers, 2002, № 171, S. 4–33.
12. Geiets V.M, Skrypnychenko M.I, Sokolyk M.M., Sektoralni makromodeli prognozuvannia ekonomiky Ukrainy, Ekonomist, 1998, № 5, S. 58–67.
13. Luk’ianenko I.G., Dynamichni makroekonometrychni modeli. Novyy kontseptualnyy pidkhid, K. , VD "KM Akademiia", 2003, 50 s.
14. Sultan K, Luk’ianenko I.G, Gorodnichenko Yu.O., Metodologichni aspekty rozrobky ta praktychnogo zastosuvannia makroekonometrychnoi modeli Ukrainy, K. , Vydavnychyy dim "KM Academia", 2000, 204 s.
15. Skrypnychenko M.I., Prykladni aspekty formuvannia mizhkrainnykh modeley ekonomichnogo rozvytku, Ekonomika i prognozuvannia, 2005, № 1, S. 92–109.
16. Shumska S.S., Integralna otsinka monetarnogo zabezpechennia ekonomiky bankivskoiu systemoiu , Ekonomika: problemy teorii ta praktyky , zb. nauk. pr. Dnipropetrovsk , Dnipropetr. nats. unt, 2006, Vyp. 216, T. 2, S. 302–310.
18. Mishenko V.I., Petryk O.I., Somyk A.V., Lysenko R.S., Monetarnyy transmisiynyy mekhanizm v Ukraini:naukovoanalitychni materialy.Vyp. 9, K. , Tsentr naukovykh doslidzhen NBU Ukrainy, 2008, 144 s.
19. Petryk O, Sholomytskyy Yu., Dynamichni stokhastychni modeli zagalnoi rivnovagy: sutnist, dosvid vykorystannia v tsentralnykh bankakh, Bankivska sprava, 2007, № 4, S. 43–53.
20. Nikolaychuk S.A., Otsinka alternatyvnykh rezhymiv monetarnoi polityky na osnovi Kvartalnoi prognoznoi modeli Natsionalnogo banku Ukrainy, Ekonomist, 2007, № 11, S. 56–60.
21. Kapetanios G, Labhard V, Price S., Forecast combination and the Bank of England's suite of statistical forecasting models , Economic Modelling, 2008, T. 25, № 4, S. 772–792.
22. Dijk D.V, Franses P.H., Modelling Multiple Regimes in the Business Cycle, Macroeconomic Dynamics, 1999, T. 3, № 3, S. 311–340.
23. Dijk D, Terasvirta T, Franses P.H., Smooth transition autoregressive modelsA survey of recent developments, Econometric Institute Reseach Report, 2000, № EI200023 A, S. 3–41.
24. Eitrheim, Terasvirta T., Testing the adequacy of smooth transition autoregressive models Journal of Econometrics, 1996, T. 74, № 1, S. 59–75.
25. Terasvirta T, Dijk D.V, Medeiros M.C., Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A reexamination , International Journal of Forecasting, 2005, T. 21, № 4, S. 755774.
26. Medeiros M.C, Veiga A., A flexible coefficient smooth transition time series model, IEEE transactions on neural networks, A publication of the IEEE Neural Networks Council, 2005, T. 16, № 1, S. 97–113.
27. Matviychuk A.V., Shtuchnyy intelekt v ekonomitsi, neyronni merezhi, nechitka logika praktychnogo zastosuvannia makroekonometrychnoi modeli Ukrainy, K. , Vydavnychyy dim "KM Academia", 2000, 204 s.
№ 4/2012
LUKIANENKO I. 1, SEMKO R. 2
1National University of "Kyiv-Mohyla Academy"
2National University of "Kyiv-Mohyla Academy"
Monetary policy and fluctuations on Ukraine's stock market
| Ekon. prognozuvannâ 2012; 4:110-122 |
ABSTRACT ▼
Stock markets play a crucial role in many economies and may influence their real sectors though different channels. In addition, instability of financial markets may cause or amplify general negative tendencies, for example, stock bubble crashes often lead to significant economic downturns in the countries and, in parallel, worsening the influence of other shocks. That is why the main goal of this article is the investigation of the necessity of policy makers’ (the National Bank of Ukraine’s) reaction to the establishment and development of stock market bubbles in order to prevent economic destabilization. To address this issue, dynamic stochastic general equilibrium (DSGE) model of Bernanke-Gertler-Girchlist was used. It belongs to the New Keynesian DSGE model with households, intermediate and final producers, government and Central Bank sectors augmented with the mechanism of financial accelerator and the model of stock market bubble. The baseline idea of financial accelerator is built on the assumption of asymmetric information when commercial bank should pay for monitoring costs to check the revenue of the enterprise which cannot repay bank’s loan. Such mechanism amplifies the influence of different shocks on the real sector of the economy. It is also assumed that there is a possibility of divergence of fundamental and actual (speculative) stock market prices causing the development of positive or negative bubble. After bursting, the bubble may lead to slowdown or even collapse of the economic system. One possibility to prevent from such pessimistic scenario is to target stock market prices in the Central Bank Taylor-type rule, that is, raise the refinancing rate when bubble starts developing in order to cold the economy and stop bubble growth and vice versa, for negative, when actual prices are lower than fundamental. The model is calibrated based on the parameters of the Ukrainian economy and used to analyze the necessity of the reaction of National Bank of Ukraine to stock market fluctuations. The four key scenarios considered in the article are based on the necessity of reaction to stock prices and the degree of optimal reaction to inflation. The criterion used to evaluate them is the minimization of the loss function, that is, the minimization of GDP and inflation fluctuations. The results of the research show that optimal strategy of the National Bank of Ukraine is aggressive (significant) reaction to inflation without correcting refinancing interest rate as a response to the changes in stock market. NBU should increase its refinancing rate approximately by two percent as a response to one percent increase of inflation and vice versa, while keeping the refinancing rate constant with respect to the changes in stock market. Intuitively, it may imply that inflation is one of the central issues in the economy, while stock market plays a minor role at this moment or stock market prices are already incorporated in the inflation and double reaction of monetary regulator is not necessary.
Keywords:dynamic stochastic general equilibrium model, financial accelerator, financial bubble, monetary policy, Bayesian econometrics
| Article in Ukrainian (pp. 110 - 122) | Download | Downloads :310 |
REFERENCES ▼
2. Bernanke B., Gertler M., Should Central Banks respond to movement sin asset prices?, American Economic Review, 2001, № 91, P. 253–257.
3. Bernanke B., Gertler M., Gilchrist S., The financial accelerator model in a quantitative business cycle framework, NBER Working paper, 1998, № 6455, P. 1–72, www.nber.org/papers/w6455.
4. Cecchetti, S., Genberg H., Lipsky J., Wadhwani S., Asset prices and central bank policy, CEPR Geneva Report on the World Economy, 2000, P. 1–152.
5. Cecchetti S., Genberg H., Wadhwani S., A Asset prices in a flexible inflation targeting framework, sset price bubbles: The implications for monetary, regulatory, and international policies, ed. W.Hunter, G.Kaufmanand, M.Pomerleano, 2002, P. 427–444.
6. Cecchetti, S. What the FOMC says and does when the stock market booms, Asset prices and monetary policy, ed. A.Richardsand, T.Robinson, 2003, P. 77–96.
7. "Pozbavliaiuchy pozychalnyka mozhlyvosti otrymaty neposylnyi kredyt, my zakhyshaiemo yogo vid nevidvorotnykh sumnykh naslidkiv...": interv’iu z golovoiu Rady Natsionalnogo banku Ukrainy P.Poroshenkom, R.Vasyl, Fakty, 2008, 15 kvit, S. 1.
8. Luk’ianenko I.G., Semko R.B., Osoblyvosti pobudovy dynamichnoi stokhastychnoi modeli zagalnoi rivnovagy dlia analizu ekonomiky Ukrainy, Ekonomichna kibernetyka, 2010, № 4–6(64–66), S. 48–53.
9. Semko, R. Bayesian estimation of smallscale DSGE model of the Ukrainian economy, Scientific Notes of NaUKMA, Economics, 2011, № 120, P. 78–84.
10. Luk’ianenko I.G., Semko R.B., Prognozuvannia naslidkiv ekonomichnoi polityky za dopomogoiu modeli zagalnoi rivnovagy, Aktualni Problemy Ekonomiky, 2012, № 1, S. 303–319.
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