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№ 3/2014
BANDURA Oleksandr 1, BURKINSKII B. 2
1Institute for Economics and Forecasting, NAS of Ukraine
2Institute of Market Problems and Economic and Environmental Research, NAS of Ukraine
Conceptual bases of economic capitalization: a systemic approach
Ekon. teor. 2014; 3:0-0 |
ABSTRACT ▼
Based on the analysis of the definitions of "capitalization", the authors define three groups of its inter-pretation, namely, as a process, as a condition, and as a relation. They develop a conceptual model integrating the existing definitions of capitalization as a process in the form of steps of a more general cyclic process. Proposed a three-dimensional vision of the phenomenon of capitalization; on its basis, the authors construct its systemic representation, which includes objectives, mechanisms and evalua-tion criteria
Keywords:capitalization, the basics of capitalization, economic process, conceptual model, a cyclic process.
JEL: P100
Article in Russian (pp. 48 - 59) | Download | Downloads :365 |
Article in Ukrainian (pp. 48 - 59) | Download | Downloads :349 |
REFERENCES ▼
Artomova T., Polichko O. (2009) Kapitalizatsiia ekonomiky: evoliutsiia pidkhodiv shchodo zmistu ta modeliuvannia v zakhidnii naukovii dumtsi // Ekonomist. № 12. S. 60–63.
Bobukh I.M. (2010) Proportsii ta perspektyvy formuvannia natsionalnoho bahatstva Ukrainy. K.: In-t ekonomiky ta prohnozuvannia NAN Ukrainy. – S. 35.
Buleev I.P., Brjuhoveckaja N.E. (2011) (red.) Kapitalizacija predprijatij: teorija i praktika. In-t jekonomiki prom-sti; DonUJeP. Doneck. S. 8, 13, 34.
Burd'e P. (2002) Formy kapitala // Jekonomicheskaja sociologija. 2002. T. 3. № 5. S. 60–74.
Burkynskyi B.V., Horiachuk V.F. (2013) Sotsialnyi kapital: sutnist, dzherela ta struktura, otsinka // Ekonomika Ukrainy. № 1. S. 67–81.
Gajdaj T.V. (2006) Kapitalizacija jekonomiki: problemy i perspektivy. Materialy seminara (chast' 2) // Jekonomicheskaja teorija. № 3. S. 98–100.
Heiets V.M. (2009) Suspilstvo, derzhava, ekonomika: fenomenolohiia vzaiemodii ta rozvytku. K.: Instytut ekonomiky ta prohnozuvannia NAN Ukrainy. S. 334, 337.
Heiets V.M., Hrytsenko A.A. (2007) (red.) Kapitalizatsiia ekonomiky Ukrainy. K.: In-t ekon. ta prohnozuv. S. 8–9.
Gricenko A.A. (2006) Kapitalizacija jekonomiki: problemy i perspektivy. Materialy seminara (chast' 1) // Jekonomicheskaja teorija. № 2. S. 91–95.
Dikson Dzh., Bjekkes Zh., Gamil'ton K. (2000) Novyj vzgljad na bogatstvo narodov. Indikatory jekologicheski ustojchivogo razvitija. M.: Centr podgotovki i realizacii mezhdunarodnyh proektov tehnicheskogo sodejstvija. S. 112–113.
Mazur І.І. (2006) Kapitalizacija jekonomiki: problemy i perspektivy. Materialy seminara (chast' 1) // Jekonomicheskaja teorija. № 2. S. 104–107.
Malova T. (2009) Kapitalizacija v uslovijah rossijskoj jekonomiki: Teoreticheskie i prakticheskie aspekty. 2-e izd. M.: Knizhnyj dom "LIBROKOM". S. 6.
Mandibura V.O. (2006) Kapitalizacija jekonomiki: problemy i perspektivy. Materialy seminara (chast' 2) // Jekonomicheskaja teorija. № 3. S. 93–95.
Mel'nik V.P. (2006) Kapitalizacija jekonomiki: problemy i perspektivy. Materialy seminara (chast' 1) // Jekonomicheskaja teorija. № 2. S. 107–108.
Radaev V.V. (2003) Ponjatie kapitala, formy kapitalov i ih konvertacija // Obshhestvennye nauki i sovremennost'. № 2. S. 5–17.
Chernyshev S. (2005) Kak povysit' kapitalizaciju Rossii // Strategija Rossii. № 3. sr.fondedin.ru/new/fullnews_arch_to.php?subaction=showfull&id=1109934128&archive=1112609966&start_from=&ucat=14&.
Sharaev Ju.V. (2006) Teorija jekonomicheskogo rosta. M.: Izdatel'skij dom GU VShJe. S. 39.
Shlapak Yu.M. (2013) Pryrodnyi kapital v systemi natsionalnykh rakhunkiv Ukrainy: avtoref. dys. na zdobuttia nauk. stup. kand. ekon. nauk. Kyiv: 2013. 19 s.
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№ 2/2015
1Institute for Economics and Forecasting, NAS of Ukraine
MARKET EFFICIENCY AND ECONOMIC EFFICIENCY: PROBLEMS OF MEASUREMENT AND RELATIONSHIP WITH THE ECONOMIC CYCLE
Ekon. teor. 2015; 2:38-51 |
ABSTRACT ▼
The article identifies problems with quantitative assessment of the efficiency of markets and respective categories (economic efficiency, perfect competition, and so on). The problem of "vicious circle" in the economic assessment (the price depends on the costs, which, in turn, depend on the price) is considered as the main cause of the impossibility to define the degree of efficiency of the markets and to establish a connection between the given degree of efficiency and economic crisis. To solve this problem, the author proposes the introduction of an additional (to the monetary) unit to measure the outlay costs of production resources. Disposable energy (exergy) is proposed as a general measure of such outlays. On this basis, the author formulates the hypothesis of cumulative inefficiency of markets, which applies to all markets of an economic system. According to this hypothesis, all the markets are inefficient from the fundamental point of view, but the degree of their inefficiency is different. The author introduces the category of efficient competition and hidden resource overspending for an individual market (company), and proposes a way to quantify them. It is shown that the amount of hidden resource overspending, which measures the degree of market inefficiency is the result of changes in cross-industry proportions (relative prices).
Keywords:market efficiency, market inefficiency, technical and economic efficiency, perfect competition, effective competition, economic crisis
JEL: E30, E31, E32, E37
Article in Russian (pp. 38 - 51) | Download | Downloads :378 |
Article in Ukrainian (pp. 38 - 51) | Download | Downloads :432 |
REFERENCES ▼
Bandura O.V. (2004) Deiaki aspekty analizu makroekonomichnoi dynamiky: resursna (enerhetychna) model ekonomichnoho tsyklu. Mykolaiv: Ilion.
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№ 1/2016
1Institute for Economics and Forecasting, NAS of Ukraine
GENERAL ECONOMIC CYCLES MODEL – CUMULATIVE INEFFICIENCY MODEL
Ekon. teor. 2016; 1:86-100 | https://doi.org/10.15407/etet2016.01.086 |
ABSTRACT ▼
Attempting to establish a fundamental relationship between the efficiency of the use of production resources and dy-namics of economic growth, a new model of economic cycle is proposed. It is shown that the hidden resource overuse used in GDP production is an initial driving force of economic cycles for general case. The resource overuse is a result of cumulative market imperfections caused by various market conditions and embodied in the gap between calculated natural and actual market price deflators. Total efficiency of the regulatory policy and its influence on growth rate can be evaluated by the size of this gap. This enables feedback between actions of the regulator and their impact on the econ-omy. It was empirically tested on the USA economy using a period of 45 years or six empirical business cycles in a row. The model allows us to identify and forecast recession with the lead period 6 to 18 months. Empirical testing of the cumulative market imperfections model reveals the absence of false signals when recession starting points forecasting and possibility to separate recession signal from temporary slowdown one
Keywords: business cycles, economic growth rate, recession, forecasting, macroeconomic dynamics, macroequlibrium, perfect and efficient competition, market efficiency rate.
JEL: E30, E31, E32, E37
Article in Russian (pp. 86 - 100) | Download | Downloads :611 |
Article in Ukrainian (pp. 86 - 100) | Download | Downloads :391 |
REFERENCES ▼
2. Bandura, O.V. (2007). Improved Economic Forecasting At The Conceptual Level. Ekonomist – Economist, 3 [in Ukrainian].
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4. Bandura, O.V. (2015). Market Efficiency And Cost-Effectiveness: Measurement And Communication Problems With The Economic Cycle. Ekon. teor. – Economic theory, 2, 38-52 [in Ukrainian].
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17. Krugman, P. (2009, September 2). How Did Economists Get It So Wrong? NY: The New York Times.
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№ 1/2017
1Institute for Economics and Forecasting, NAS of Ukraine
The efficiency of monetary (regulation) policy and sustainable growth
Ekon. teor. 2017; 1:77-93 | https://doi.org/10.15407/etet2017.01.077 |
ABSTRACT ▼
The article deals with the main problems affecting the efficiency of regulation policy. The author proposes various guidelines to their solution based on his CMI-model of economic cycle. There is an empirical proof of this model’s general character as determining the calendar dates of the starting points for all cycles for such two completely different economies as the USA since 1970 and Ukraine since 1997. Author shows a quantitative relationship between the efficiency of regulation policy and sustainable growth. He makes an analysis on the efficiency of the US central bank’s "quantitative easing" of the monetary policy and demonstrates empirically the effect of this policy on the national economy. Proposed are some recommendations to increase the efficiency of Ukraine’s national monetary policy to provide a sustainable growth.
Keywords: monetary (regulation) policy, efficiency, targeting, business cycles, growth rate, recession, macroeconomic dynamics
JEL: E30, E31, E32, E37
Article in Russian (pp. 77 - 93) | Download | Downloads :592 |
Article in Ukrainian (pp. 77 - 93) | Download | Downloads :464 |
REFERENCES ▼
2. Kondrat'ev, N.D. (1989). The problems of economic dynamics. Moscow: Jekonomika [in Russian].
3. Ball, L. (1997). Efficient rules for monetary policy. U.S. National Bureau of Economic Research Working Pape, 5952. doi: https://doi.org/10.3386/w5952">doi.org/10.3386/w5952">https://doi.org/10.3386/w5952
4. Bernanke, B., Mihov, I. (1995). Measuring monetary policy. Working paper, Institute for Advanced Studies (IHS), Economic series, 10. doi: https://doi.org/10.3386/w5145">doi.org/10.3386/w5145">https://doi.org/10.3386/w5145
5. Bernanke, B., Reinhart, V., Sack, B. (2004). Monetary Policy Alternatives at the Zero Bound: An Empirical Assessment. Brookings Papers on Economic Activity, 2, 1-100. doi: https://doi.org/10.1353/eca.2005.0002">doi.org/10.1353/eca.2005.0002">https://doi.org/10.1353/eca.2005.0002
6. Cecchetti, S., Flores-Lagunes, A., Krause, S. (2006). Has monetary police become more efficient? A cross-country analysis. The Economic Journal, 116, Royal Economic Society, 408-433.
7. Friedman, M. (1968). The Role of Monetary Policy. American Economic Review, 58(1), 1-17.
8. Gagnon, J., Raskin, M., Remache, Ju. and Sack, B. (2010). Large-Scale Asset Purchases by the Federal Reserve: Did they Work? Federal Reserve Bank of New York Staff Reports, 441.
9. Gertler, M., Karadi, P. (2013). QE 1 vs. 2 vs. 3: A Framework for Analyzing Large-Scale Asset Purchases as a Monetary Policy Tool. International Journal of Central Banking, 9.
10. Krishnamurthy, A., Vissing-Jorgensen, A. (2011). The effects of quantitative easing on interest rates: channels and implications for policy. Brookings Papers on Economic Activity, 43(2), 215-287. doi: https://doi.org/10.1353/eca.2011.0019">doi.org/10.1353/eca.2011.0019">https://doi.org/10.1353/eca.2011.0019
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13. Orphanides, A. (2003). Monetary policy evaluation with noisy information. Journal of Monetary Economics: Elsevier Science, 50, 605-631. doi: https://doi.org/10.1016/S0304-3932(03)00027-8">doi.org/10.1016/S0304-3932(03)00027-8">https://doi.org/10.1016/S0304-3932(03)00027-8
14. Orphanides, A. (2002). Monetary policy rules and the Great Inflation. Division of Monetary Affairs, Board of Governors of the Federal Reserve System, materials for the January 2002 Meeting of the American Economic Association. Atlanta, GA.
15. Thornton, D. (2012). The Federal Reserve’s Response to the Financial Crisis: What it did and what it should have done. Federal Reserve Bank of St. Louis Working paper, 2012-050A. doi: https://doi.org/10.2139/ssrn.2171836">doi.org/10.2139/ssrn.2171836">https://doi.org/10.2139/ssrn.2171836
№ 1/2019
1Institute for Economics and Forecasting, NAS of Ukraine
Information ambiguity and incompleteness in forecasting the recession (the US economy case)
Ekon. teor. 2019; 1:87-112 | https://doi.org/10.15407/etet2019.01.087 |
ABSTRACT ▼
This paper considers main factors that provide ambiguity and incompleteness of information when identifying current economic conditions and recession forecasting. Author demonstrates how these information properties influenced the US regulator’s decision making and the quarterly correction of the US economy forecasts made by IMF, World Bank and the US Federal Reserve (Fed) from January to October 2008. Efficiency of some typical models (CLI-index model; Probit-model; Stock-Watson model and Chicago Fed’s National Activity Index (CFNAI-MA3); Yield Curve Inversion model) used by Fed was empirically tested in the course of the forecasting of the US recession. Common drawbacks inherent for these models are summarized. Monitoring of the above mentioned institutions forecasts show, how these drawbacks prevented the regulators from reducing the ambiguity and incompleteness of information when identifying current economic conditions, even when the recession of 2007-09 had already started.
Competitive advantages of author’s CMI-model as compared to typical models noted above are empirically demonstrated. Author demonstrates empirically how CMI-model usage allows us to decrease the information ambiguity and incompleteness when identifying current economic conditions. Besides, it allows us to forecast any recession accurately and timely under all economic conditions and in doing so to increase the efficiency of any cyclical regulation policy. It would be especially useful for Ukrainian economy, where the efficiency of typical models is limited objectively. It is caused by the local (not general) character of these models and by the absence of continuous time series of statistical data, which are necessary to select representative composition of economic indicators that would be able to describe national economy.
Keywords: recession, financial crisis, forecasting efficiency, economic information, forecasting model, leading indicators
JEL: E30, E31, E32, E37
Article in Russian (pp. 87 - 112) | Download | Downloads :515 |
Article in Ukrainian (pp. 87 - 112) | Download | Downloads :399 |
REFERENCES ▼
2. Bandura, O.V. (2017). Effectiveness of monetary (regulatory) policy and sustainable growth. Ekon. teor. – Economic theory, 1, 38-53 [in Ukrainian].
3. Barkley T. (July 18, 2008). IMF Raises Global Growth Forecast. The Wall Street Journal.
4. Barkley T., Hannon, P., Chalton E. (April, 2008). IMF Sees U.S. Recession, Slowing Global Growth. The Wall Street Journal.
5. Bater, J. (June 11, 2008). Tax Rebates Widen U.S. Deficit. The Wall Street Journal.
6. Bauer, M, Martens, T. (August 27, 2018a). Information in the Yield Curve about future recessions. FRBSF Economic Letter, 20. Retrieved from www.frbsf.org/economic-research/publications/economic-letter/2018/august/information-in-yield-curve-about-future-recessions/
7. Bauer, M, Martens, T. (March 5, 2018b). Economic forecasts with the Yield Curve. FRBSF Economic Letter, 07. Retrieved from www.frbsf.org/economic-research/publications/economic-letter/2018/march/economic-forecasts-with-yield-curve/
8. Chappatta, B. (December, 14, 2017). Yellen tells investors not to fear the flattering yield curve. Bloomberg. Market News.
9. Christensen, J. (October 15, 2018). The slope of the Yield Curve and near-term outlook. FRBSF Economic Letter, 23. Retrieved from www.frbsf.org/economic-research/publications/economic-letter/2018/october/slope-of-yield-curve-and-near-term-outlook/
10. Ergungor, E. (2016). Recession probabilities. Federal Reserve Bank of Cleveland. Economic Commentary, 9, 6. Retrieved from www.clevelandfed.org/en/newsroom-and-events/publications/economic-commentary/2016-economic-commentaries/ec-201609-recession-probabilities.aspx)
11. Hamilton, J. (July, 2010). Calling recessions in real time. NBER Working Paper,16162, 51. Retrieved from www.nber.org/papers/w16162
12. Homan T. (January 5, 2010). Krugman Says Economists Damaged by Inability to Foresee Crisis. Bloomberg News.
13. Niemira, M., Klein, P. (1995). Forecasting financial and economic cycles. NY: John Wiley & Sons, Inc.
14. Reddy, S. (June, 26, 2008). Fed Holds Rate Steady as Inflation Worries Rise. The Wall Street Journal.
15. Szyrmer, J., Dubrovskiy,V., Golodniuk, I. (2009). Composite Leading Indicators for Ukraine: An Early Warning Model. CASE Network Reports, 85, 1-62.
16. Travis, J, Berge, T., Elias, E., Jorda, O. (2011). Future Recession Risks: An Update. Federal Reserve Bank of an Francisco Economic Letter, 35, 1-15.
17. Wheelock, D., Wohar, M. (September/October, 2009). Can the term spread predict output growth and recessions? A survey of the literature. Federal Reserve Bank of St. Lois Review, 91 (5, Part 1), 419-440. doi: https://doi.org/10.20955/r.91.419-440">doi.org/10.20955/r.91.419-440">https://doi.org/10.20955/r.91.419-440
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№ 1/2020
GRYTSENKO Andrii Andriyovych1, BANDURA Oleksandr 2
1Institute for Economics and Forecasting, NAS of Ukraine
2Institute for Economics and Forecasting, NAS of Ukraine
Features and factors of contemporary inflation dynamics
Ekon. teor. 2020; 1:77-93 | https://doi.org/10.15407/etet2020.01.077 |
ABSTRACT ▼
The article considers the features of contemporary inflation, which are difficult to explain within the framework of well-known theories. We used the authors’ CMI-model of economic cycles to explain the phenomena of low inflation in the US economy and relatively low economic growth under the record high employment during 2008-2019. In this model, the aggregate money supply M2 is divided in two parts: 1) neutral (that does not affect the growth rate) and 2) non-neutral (that affects the growth rate). We proved empirically that the implementation of the "quantitative easing" monetary policy through the financial markets (to reduce the short- and long-term interest rates) has little effect on the economic growth rate, but mainly causes the growth of the stock markets, which absorb neutral money supply, holding back the inflation process. However, this policy may cause a financial bubble in the stock markets and increases the probability of a significant correction in the value of financial assets in the case of a new recession. We evaluated the outlooks of the beginning of a new recession in the US economy that can cause a new recession in Ukrainian economy as well. The positive effect from the “quantitative easing” monetary policy is a record duration (for the entire history of observations) of the US recovery that contributed to the record low unemployment. The negative effects of this policy include the least (for the last 50 years) average economic growth rates during the recovery and relatively low level of labor productivity since 2010. At the same time, the existence of developed financial markets and stimuli for investments in financial assets may serve as an effective instrument to hold back the inflation. Therefore, any contributing from all regulators in development of financial markets would be also useful for Ukraine.
Keywords:inflation, business cycle, financial market, monetary policy, (non)neutral money, recession, growth rate, financial index.
JEL: E30, E31, E32, E37
Article in English (pp. 77 - 93) | ||
Article in Russian (pp. 77 - 93) | Download | Downloads :497 |
Article in Ukrainian (pp. 77 - 93) | Download | Downloads :480 |
REFERENCES ▼
2. Polterovich, V. (1997). Crisis of economic theory. The unknown economy: a report at a seminar at TSEMI RAS. 1997. Retrieved from mathecon.cemi.rssi.ru/vm_polterovich/files/Crisis_Economic_Theory.pdf [in Russian].
3. Ader, D. (2018). U.S. recession looms, yield curve inversion or not. Bloom-berg Prophets. March 8. Retrieved from www.bloomberg.com
4. Bauer, M., Mertens, T. (2018). Economic forecast with the yield curve. Fed-eral Reserve Bank of San-Francisco Economic Letter, Economic Research 2018–07. Retrieved from www.frbsf.org
5. Bernoth, K., König, P. Raab, C. (2015). Large-Scale Asset Purchases by Central Banks II: Empirical Evidence. DIW Roundup: Politik im Fokus, No. 61. Re-trieved from hdl.handle.net/10419/111846
6. Bhatnagar, S., Cormier, A-K., Hess, K., Leon-Manlagnit, P. et al. (2017). Low Inflation in Advanced Economies: Facts and Drivers. Staff Analytical Note by International Economic Analysis Department. Bank of Canada. P. 20. Retrieved from www.bank-banque-canada.ca
7. Boesler, M. (2018). Fed Chairman Powell Unravels Inflation Riddle. Bloom-berg Markets. April 6. Retrieved from www.bloomberg.com/news/articles/2018-04-06/who-needs-an-economics-ph-d-as-powell-unravels-inflation-riddle
8. Chappatta, B. (2018, June 19). Pension plans exert an invisible force on the yield curve. Bloomberg news. June 19. Retrieved from www.bloomberg.com/view/articles/2018-06-19/pension-plans-exert-pressure-on-the-bond-yield-curve?utm_medium=email&utm_source=newsletter&utm_term=180619&utm_campaign=sharetheview
9. Ho-Yin, Y., King-Tai, L. (2011). The Effects of Quantitative Easing on Infla-tion Rate: A Possible Explanation on the Phenomenon. European Journal of Eco-nomics, Finance and Administrative Sciences, 41, 7. Retrieved from researchdb.hsu.edu.hk/assets/upload/103/The_Effects_of_Quantitative_Easing_on_Inflation_Rate_-_A_Possible_Explanation_on_the_Phenomenon_(2011).pdf
10. Meinusch, A., Tillmann, P. (2014). The macroeconomic impact of uncon-ventional monetary policy shocks. Joint Discussion Paper Series in Economics. Working paper No. 26-2014; Leibniz Information Centre for Economics, 35. Re-trieved from hdl.handle.net/10419/102367
11. Orphanides, A. (January, 2002). Monetary policy rules and the Great Infla-tion. Division of Monetary Affairs, Board of Governors of the Federal Reserve Sys-tem. Meeting of the American Economic Association, Atlanta, GA. doi.org/10.17016/FEDS.2002.08
12. Smith, N. (May 1, 2018). What Causes Recessions. Bloomberg Econom-ics, Econ Grapples.
13. Smialek, J. (2017, October 15). Yellen calls inflation the "Biggest surprise" in the Economy. Bloomberg Markets. Retrieved from www.bloomberg.com/news/articles/2017-10-15/yellen-says-fed-to-raise-rates-gradually-as-inflation-picks-up
№ 4/2020
1Institute for Economics and Forecasting, NAS of Ukraine
Providing complementarity for the main components of macroeconomic dynamics
Ekon. teor. 2020; 4:78-98 | https://doi.org/10.15407/etet2020.04.078 |
ABSTRACT ▼
We proposed new way to provide complementarities of main macroeconomic values — economic growth, employment and inflation. It was shown at the example of
monetary policy of world’s main central banks that unofficially the banks are trying
to control all three main macroeconomic values, to provide their complementarities. Although officially they mainly have one purpose mandate that is inflation (except of the U.S. central bank that should control both inflation and employment). It
is difficult to provide complementarities of three main macroeconomic values at
the absence of some economic model that connect as all three integrated values,
as numerous intermediate indicators, which determine every of three main values.
Finally, choice of any regulation instrument is determined by the model chosen by
regulator that provides interconnection between integrated values and intermediate indicators. Analyzing history of monetary policy for world’s main central
banks we revealed changing efficiency for their regulation instruments from the
point of its affects on economic growth, employment and inflation. It varies from
maximum efficiency in optimum point in time to minimum efficiency that requires
change of regulation instrument to provide more stable and forecast able the
cause-result type connection between final and intermediate indicators.
Based on the author’s CMI-model of macroeconomic dynamics, we substantiated
the formula that connects between each other both the three main macroeconomic indicators and numerous intermediate variables. It allows us, targeting only one
integrated indicator — cumulative market imperfections, — to control economic
growth, employment and inflation at the same time. For this purpose we can
chose all possible instrument as of monetary policy, as of the other kinds of regulations (fiscal, antitrust, innovation ones etc.). Besides, we would be able to control efficiency of how applied regulation instruments affect main macroeconomic
values, to determine the quantitative criterion of optimum efficiency for regulation
instruments.
Keywords:economic growth, employment, inflation, monetary policy, targeting
JEL: E30, E31, E32, E37
Article in Russian (pp. 78 - 98) | Download | Downloads :213 |
Article in Ukrainian (pp. 78 - 98) | Download | Downloads :321 |
REFERENCES ▼
doi.org/10.15407/etet2016.01.086 [in Ukrainian].
2. Bandura, O. V. (2017). The efficiency of monetary (regulation) policy and
sustainable growth. Ekon. teor. – Economic theory, 1, 77-93.
doi.org/10.15407/etet2017.01.077 [in Ukrainian].
3. Bandura, O. V. (2019). Cyclism as a form of combining stability and instability in economic development. Ekon. prognozuvannв – Economy and forecasting,
4, 7-23. doi.org/10.15407/eip2019.04.007 [in Ukrainian].
4. Polterovych, V. (1997). The crisis of economic theory. Report given at the
seminar "Unknown Economics" at the CEMI RAS in January 1997. Retrieved from
mathecon.cemi.rssi.ru/vm_polterovich/files/Crisis_Economic_Theory.pdf
5. Fischer, S., Dornbusch, R., Shmalenzi, R. (1993). Economics. Moscow: Delo
LTD [in Russian].
6. Amamiya, M. (January 11, 2017). History and Theories of Yield Curve
Control. Keynote Speech at the Financial Markets Panel Conference to
Commemorate the 40th Meeting. January 11. Retrieved from
www.boj.or.jp/en/announcements/press/koen_2017/data/ko170111a1.pdf
7. Baro, R. J., Sala-i-Martin, X. (2004). Economic Growth – 2nd ed.: The MIT
Press, USA.
8. Bernanke, B., Mihov, I. (1995). Measuring monetary policy. Working paper,
Institute for Advanced Studies (IHS). Economic series, Vienna, 10.
doi.org/10.3386/w5145
9. Editorial Board of Bloomberg (August 26, 2020). The Fed’s Big Rethink on
Monetary Policy. Bloomberg Opinion.
10. Friedman, M. (1968). The Role of Monetary Policy. American Economic
Review, 58(1), 1-17.
11. Gongloff, M. (August 26, 2020). The Fed Needs to Get With the Times.
Bloomberg Opinion.
12. Humpage, O. (November 29, 2016). The Fed’s Yield-Curve-Control Policy.
Economic Commentary. Federal Reserve Bank of Cleveland, N 15. Retrieved from
www.clevelandfed.org/newsroom-and-events/publications/economic-commentary/2016-economiccommentaries/ec-201615-the-feds-yield-curve-controlpolicy.aspx?fbclid=IwAR37FUpV4EgINpNdKo4pZEhMxDUsEVsYIX8BIRGUn3OhpM36hxbieA7DYhU
13. Kuroda, H. (October 8, 2016) Quantitative and Qualitative Monetary Easing
(QQE) with Yield Curve Control: New Monetary Policy Framework for Overcoming
Low Inflation. Speech at the Brookings Institution in Washington, D.C. by Governor
of the Bank of Japan. Retrieved from
www.boj.or.jp/en/announcements/press/koen_2016/data/ko161009a.pdf
14. Meltzer, A. (1987). Limits of Short-Run Stabilization Policy. Economic Inquiry, 25, 1-14. doi.org/10.1111/j.1465-7295.1987.tb00718.x
15. Orphanides, A. (January, 2002). Monetary policy rules and the Great Inflation. Division of Monetary Affairs, Board of Governors of the Federal Reserve System: materials for the January 2002 Meeting of the American Economic Association, Atlanta, GA. doi.org/10.17016/FEDS.2002.08
16. Taylor, J. (1993). Discretion versus Policy Rules in Practice. CarnegieRochester Conference Series on Public Policy, 39, 195-214.
doi.org/10.1016/0167-2231(93)90009-L
17. U.S. National Bureau of Economic Research (2020). Retrieved from
www.nber.org
18. Wright, J. H. (2006). The Yield Curve and Predicting Recessions. Finance
and Economics Discussion Series. Federal Reserve Board.
doi.org/10.17016/FEDS.2006.07
1Institute for Economics and Forecasting, NAS of Ukraine
Providing complementarity for the main components of macroeconomic dynamics
Ekon. teor. 2020; 4:78-98 | https://doi.org/10.15407/etet2020.04.000 |
ABSTRACT ▼
We propose a new way to provide complementarities of main macroeconomic indicators — economic growth, employment and inflation. It is shown at the example of monetary policy of world’s main central banks that, while officially the banks mainly have one purpose mandate, which is inflation (except of the U.S. where the central bank are officially to control both inflation and employment, unofficially they try to control all three main macroeconomic values, to provide their complementarities. It is difficult to provide complementarities of three main macroeconomic indicators in the absence of an economic model that connects both the three integrated indicators, and numerous intermediate ones, which determine each of the three main indicators.
Finally, choice of any regulation instrument is determined by the model chosen by regulator to provide interconnection between integrated values and intermediate indicators. Analyzing the history of monetary policy for world’s main central banks, we revealed changing efficiency for their regulation instruments in terms of their effect on economic growth, employment and inflation. It varies from maximum efficiency in the optimum point in time to minimum efficiency, which requires a change of the regulation instrument for a new one to provide a more stable and forecastable cause-result connection between final and intermediate indicators.
At the base of author’s CMI-model of macroeconomic dynamics we grounded the formula that connects as three main macroeconomic values so numerous inter-mediate indicators. It allows us, targeting only one integrated indicator (cumulative market imperfections) to control economic growth, employment and inflation at the same time. For that purpose we can chose all possible instruments both of monetary policy and of other policies (fiscal, antitrust, innovation ones etc.). Besides, we would be able to control efficiency of the action of the applied regulation instruments on the main macroeconomic indicators to determine the quantitative criterion of optimum efficiency for regulation instruments.
Keywords:economic growth, employment, inflation, monetary policy, targeting
JEL: E30, E31, E32, E37
REFERENCES ▼
2. Bandura, O. V. (2017). The efficiency of monetary (regulation) policy and sustainable growth. Ekon. teor. – Economic theory, 1, 77-93. doi.org/10.15407/etet2017.01.077 [in Ukrainian].
3. Bandura, O. V. (2019). Cyclism as a form of combining stability and instability in economic development. Ekon. prognozuvannâ – Economy and forecasting, 4, 7-23. doi.org/10.15407/eip2019.04.007 [in Ukrainian].
4. Polterovych, V. (1997). The crisis of economic theory. Report given at the seminar "Unknown Economics" at the CEMI RAS in January 1997. Retrieved from mathecon.cemi.rssi.ru/vm_polterovich/files/Crisis_Economic_Theory.pdf
5. Fischer, S., Dornbusch, R., Shmalenzi, R. (1993). Economics. Moscow: Delo LTD [in Russian].
6. Amamiya, M. (January 11, 2017). History and Theories of Yield Curve Control. Keynote Speech at the Financial Markets Panel Conference to Commemorate the 40th Meeting. January 11. Retrieved from www.boj.or.jp/en/announcements/press/koen_2017/data/ko170111a1.pdf
7. Baro, R. J., Sala-i-Martin, X. (2004). Economic Growth – 2nd ed.: The MIT Press, USA.
8. Bernanke, B., Mihov, I. (1995). Measuring monetary policy. Working paper, Institute for Advanced Studies (IHS). Economic series, Vienna, 10. doi.org/10.3386/w5145
9. Editorial Board of Bloomberg (August 26, 2020). The Fed’s Big Rethink on Monetary Policy. Bloomberg Opinion.
10. Friedman, M. (1968). The Role of Monetary Policy. American Economic Review, 58(1), 1-17.
11. Gongloff, M. (August 26, 2020). The Fed Needs to Get With the Times. Bloomberg Opinion.
12. Humpage, O. (November 29, 2016). The Fed’s Yield-Curve-Control Policy. Economic Commentary. Federal Reserve Bank of Cleveland, N 15. Retrieved from www.clevelandfed.org/newsroom-and-events/publications/economic-commentary/2016-economic-commentaries/ec-201615-the-feds-yield-curve-control-policy.aspx?fbclid=IwAR37FUpV4EgINpNdKo4pZEhMxDUsEVsYIX8BIRGUn3OhpM36hxbieA7DYhU
13. Kuroda, H. (October 8, 2016) Quantitative and Qualitative Monetary Easing (QQE) with Yield Curve Control: New Monetary Policy Framework for Overcoming Low Inflation. Speech at the Brookings Institution in Washington, D.C. by Governor of the Bank of Japan. Retrieved from www.boj.or.jp/en/announcements/press/koen_2016/data/ko161009a.pdf
14. Meltzer, A. (1987). Limits of Short-Run Stabilization Policy. Economic Inquiry, 25, 1-14. doi.org/10.1111/j.1465-7295.1987.tb00718.x
15. Orphanides, A. (January, 2002). Monetary policy rules and the Great Inflation. Division of Monetary Affairs, Board of Governors of the Federal Reserve System: materials for the January 2002 Meeting of the American Economic Association, Atlanta, GA. doi.org/10.17016/FEDS.2002.08
16. Taylor, J. (1993). Discretion versus Policy Rules in Practice. Carnegie-Rochester Conference Series on Public Policy, 39, 195-214. doi.org/10.1016/0167-2231(93)90009-L
17. U.S. National Bureau of Economic Research (2020). Retrieved from www.nber.org
18. Wright, J. H. (2006). The Yield Curve and Predicting Recessions. Finance and Economics Discussion Series. Federal Reserve Board. doi.org/10.17016/FEDS.2006.07
№ 2/2022
BANDURA Oleksandr 1, TKACHOVA Valeriia 2
1Institute for Economics and Forecasting, NAS of Ukraine
2Institute of the Economy and Forecasting of the National Academy of Sciences of Ukraine
Quantitative indexes for direct control of monopolies on different hierarchical levels of economy
Ekon. teor. 2022; 2:67-89 | https://doi.org/10.15407/etet2022.02.067 |
ABSTRACT ▼
The evidence base of proving that a monopoly uses its market power is a problem that has no unambiguous solution. Lack of clarity in antitrust legislation is a long term problem. A part of the problem is impossibility to elaborate a theory and quantitative indexes for a monopoly control, which would be used for juridical practice. This paper presents an attempt to solve this problem proposing new quantitative indexes of a monopoly control. To do this, we used the cumulative market imperfection model of macroeconomic dynamics (CMI-model) that is based on comparison of perfect and imperfect competition both for separate markets and economy as a whole. Within framework of the model there is a possibility to calculate natural (competitive) price that correspond to perfect competition even, if such competition never was establish in real market. Difference between natural and actual market price characterizes the rate of market imperfection and could be used for the monopoly power estimation. We proposed two types of quantitative indexes to control a monopoly. First type estimates the value of monopoly power, second type —impact degree of this power. It makes us possible to control monopoly on different hierarchical levels: firm, sector of economy, economy as a whole. Besides, there are some more competitive advantages of proposed indexes: 1)monitor indexes in dynamics, i.e. we are able to estimate in real time both the fact of a monopoly power usage and impact degree of this power; 2) to separate innovative component from production cost of monopolist; 3) to demonstrate the monopoly power impact on period and amplitude of economic cycle; 4) to control monopoly in a permanent mode, actually “on-line”, but not in a discrete mode as it could be done in standard methods. Additionally, proposed indexes do not require confidential information about firm’s activity.
Keywords:monopoly, antitrust regulation, competition, market imperfections, monopoly power
JEL: D40, D41, D42, D43
Article in Russian (pp. 67 - 89) | Download | Downloads :102 |
Article in Ukrainian (pp. 67 - 89) | Download | Downloads :160 |
REFERENCES ▼
2. Bandura, O. V. (2016). The general model of economic cycles – a model of cumulative inefficiency. Ekon. teor. – Economic theory, 1, 86-100. doi.org/10.15407/etet2016.01.086 [in Ukrainian].
3. Bandura, O. V. (2019). Economic cycle as a combination of stability and instability in economic development. Economy and forecasting, 4: 5–21. doi.org/10.15407/econforecast2019.04.005
4. Elzinga, K., Mills, D. (2011). The Lerner Index of Monopoly Power: Origins and Uses. University of Virginia, Department of Economics. doi.org/10.1257/aer.101.3.558
5. Fischer,S., Dornbusch,R., Schmalensee, R. (1993).Economics. Transl. from Eng. 2-nd ed. Moscow: Delo Ltd [in Russian].
6. Lagutin,V. D. (2015) Monopoly and competitive policy: political-economy problems. Ekon. teor. – Economic theory, 4, 89-97 [in Ukrainian]
7. Pigou, A. (1985) Economic theory of welfare. Vol.1.Moscow: Progress [in Russian].
8. Roger, D. Blair, R., Carruthers, C. (2010) The economics of monopoly power in antitrust. Antitrust laws and economics, ed. K. Hylton. Encyclopedia of law and economics. 2-nd ed. Edward Elgar Publisher. Cheltenham, UK, Northampton, MA, USA, 4 (311).
9. Szargut, J., Morris, D. (1987) Cumulative Exergy Consumption and Cumulative Degree of Perfection of Chemical Processes. Energy Research, 11, 245-261. doi.org/10.1002/er.4440110207
№ 1/2023
1Institute for Economics and Forecasting, NAS of Ukraine
Improvement in the information component to control natural monopoly
Ekon. teor. 2023; 1:106-119 | https://doi.org/10.15407/etet2023.01.106 |
ABSTRACT ▼
We define the specific features in the control over natural monopoly and the main drawbacks in the contemporary methods of such a control. Also, we analyze some alternative methods of monopoly control that take place in world practice. This paper presents a possible way to improve the information component for quantitative control of natural monopoly using the method of marginal price level fixing (method of price coefficients changing). This method is a widespread one that is used for price regulation of natural monopoly in highly developed countries. However, the method to define the main elements in the correspond-ing formula — inflation number, economic efficiency factor (X-factor) and effect of external factors (Z-factor) — is still to be elaborated. This fact is one of the main objective reasons why this method is not presently used in practice in Ukraine. Of fundamental importance is the uncertainty of the efficiency factor (X-factor) revision criteria. It can contribute to the slowdown of investments, reducing the interest of the monopolist in largescale and long-term investments. This paper presents an attempt to eliminate most of the above mentioned drawbacks in the method of the marginal price fixing (method of price coefficients changing) using author\'s CMI-model of macroeconomic dynamics. We propose a method to define unambiguously the efficiency factor (X) for natural monopoly. Also, we have modified the formula to define the price (tariff) for a product of natural monopoly in order to stimulate the monopoly\'s innovative and investment activity while keeping the consumer’s interest, and to eliminate the slowdown effect of investments. Besides, using the CMI-model we are able to determine quantita-tive indexes of monopoly power and the rate of effect of this power on the econ-omy as a whole and on its various sectors. These indexes are proposed as addi-tional ones to the price (tariff) formula to verify the results of the formula’s action.
Keywords:natural monopoly, price (tariff) regulation, factor of efficiency, monopoly power, competition
JEL: D40, D41, D42, D43
Article in Ukrainian (pp. 106 - 119) | Download | Downloads :113 |
REFERENCES ▼
2. Lahutin, V.D., Borovyk, Yu.I. (2013). Priorities for price (tariff) regulation of natural monopoly in Ukraine. Ekon. Ukr. — Economy of Ukraine, 7 (620), 44-58 [in Ukrainian].
3. Depoorter, B. (1999). Regulation of Natural Monopoly. Center for Advanced Studies in Law and Economics University of Ghent, 5400, 498-530.
4. Bain, J. S. (1941). The Profit Rate as a Measure of Monopoly Power. The Quarterly Journal of Economics, 55(2), 271-293. doi.org/10.2307/1882062
5. The Antimonopoly Committee of Ukraine (2006). White book. Improvement for system of the natural monopoly tariff regulation. Retrieved from brdo.com.ua/wp-content/uploads/2016/01/Vdoskonalennya-systemy-taryfnogo-regulyuvannya-pryrodnyh-monopoliy-BKU.pdf
6. Bandura, O.V., Tkachova, V.O. (2022) Quantitative indexes for direct control of monopolies on different hierarchical levels of economy. Ekon. teor. — Economic theory, 2, 67-89. doi.org/10.15407/etet2022.02.067 [in Ukrainian].
№ 4/2023
1Institute for Economics and Forecasting, NAS of Ukraine
Oligopoly control and unification of quantitative indexes to control different types of monopoly
Ekon. teor. 2023; 4:105-115 | https://doi.org/10.15407/etet2023.04.105 |
ABSTRACT ▼
The paper demonstrates the necessity and possibility to unify the controlling indicators for different types of monopoly (monopolistic competition, oligopoly, natural monopoly) in order to increase efficiency of the monopoly control. Especially this concerns the complex types of monopoly from the point of view of its control, for example, oligopoly. The complexity of this type of monopoly control is associated with the actual inevitability of the appearance of tacit pricing coordination among the oligopoly participants. And the problem is not so much in admitting that the very fact of such a coordination is difficult to prove as in defining the harm it causes to the market and the entire economy. This paper shows the possibility to use the quantitative indexes of monopoly control proposed based on author’s CMI-model of macroeconomic dynamics, to apply these indexes for various types of monopoly.
A distinctive feature of this model is the possibility to calculate the vector of “natural” prices for any sector (i.e., the prices that correspond to the state of perfect competition even if it is impossible to reach this state in the existing markets). And the comparison of the actual market price with the “natural” one allows us to control a monopoly using the price indexes alone. In turn, it allows us to perform a monopoly control at various hierarchical levels of the economic system (a firm, an economic sector and economy as a whole). Such a control enables us to calculate the degrees of the monopoly impact both on the entire economy, and on its various sectors. Quantitative values of these degrees can be used as evidence in antitrust litigations and for choice of corresponding instruments to “punish” the monopoly for such abuses.
The paper reveals the mechanism of use of the proposed formulas for determination of the monopolistic power and degree of its impact on economy and various economic sectors for the cases of oligopoly and natural monopoly. Also, this paper demonstrates the mechanism of the influence of antimonopoly policy on the configuration of business cycle and on economic growth rate (when other policies are neutral). This opens up the possibility to combine the antitrust policy with the anticyclical and fiscal ones, because, under recession, increased monopolistic power in an individual sector may help the whole economy get out of the crisis.
Keywords:monopoly, oligopoly, antitrust regulation, monopoly control indicators, business cycle
JEL: D40, D41, D42, D43
Article in Ukrainian (pp. 105 - 115) | Download | Downloads :49 |
REFERENCES ▼
2. Bandura, O. (2023). Improvement in the information component to control natu-ral monopoly. Ekon. teor. – Economic theory, 1: 106–110. doi.org/10.15407/etet2023.01.106 [in Ukrainian].
3. Baker, J. (Spring 1993). Two Sherman Act section 1 dilemmas: parallel pricing, the oligopoly problem and contemporary economic theory. The Antitrust Bulletin. 143–219. Retrieved from digitalcommons.wcl.american.edu/cgi/viewcontent.cgi?article=2517&context=facsch_lawrev/ doi.org/10.1177/0003603X9303800105
4. Elzinga, K., Mills, D. (May 2011). The Lerner Index of Monopoly Power: Origins and Uses. University of Virginia, Department of Economics. American economic re-view, 101 (3): 558-64. doi.org/10.1257/aer.101.3.558
5. Haimson, M. (2015). Domination: The Consequence of a Modern Day Monopo-ly. Business / Business Administration. 29. scholarsarchive.library.albany.edu/honorscollege_business/29
6. Piraino, T. (2004). Regulating Oligopoly Conduct under the Antitrust Laws. Min-nesota Law Review. 657. Retrieved from scholarship.law.umn.edu/mlr/65
7. Posner, R. (1969). Oligopoly and the Antitrust Laws: A Suggested Approach. 21. Stanford Law Review. (1562-1608). doi.org/10.2307/1227523
8. Schwartz, L. B. (1960). New approaches to the control of oligopoly. University of Pennsylvania Law Review. Vol. 109:31, 31-53. Retrieved from scholarship.law.upenn.edu/cgi/viewcontent.cgi?article=6929&context=penn_law_review
doi.org/10.2307/3310341
9. Werden, G. (2004). Economic Evidence on the Existence of Collusion: Recon-ciling Antitrust Law with Oligopoly Theory. Antitrust Law Journal. 71. Retrieved from thesedonaconference.org/sites/default/files/endorsements/EconCollALJ.pdf
№ 1/2024
1Institute for Economics and Forecasting, NAS of Ukraine
The recessions forecasting in real time (case of the USA economy)
Ekon. teor. 2024; 1:76-92 | https://doi.org/10.15407/etet2024.01.076 |
ABSTRACT ▼
This article presents the principles and results of real time forecasting of recessions in the US economy using macroeconomic forecasting models, which has, as the model’s output, a single indicator of general economic activity that can be monitored monthly or at least quarterly: GDP-Based Recession Indicator Index; 2) Real-time Sahm Rule Recession Indicator; 3) Smoothed U.S. Recession Probabilities; 4) Composite Leading Indicator Index; and 5) Yield Curves Inversion Model. Usually, these models are used in practice by government regulators and business to make their decisions in real time, as they are simple to apply and are updated regularly. However, these models have no sufficient theoretical grounding, therefore it is difficult to define the best model to apply in practice, especially in the case of missed or false signals about impending recession or in the case of various forecasting results obtained from different models. Besides, this paper presents a US economy forecast made using the author’s CMI-model of macroeconomic dynamics, which has all advantages of the above mentioned models, but also has theoretical grounding for its single index of general economic activity that can be updated monthly. According to the CMI-model we may expect a new US recession (in accordance with official NBER methodology of a business cycle dating) at the end of second quarter of 2024. At the same period, we can expect a persistent growth in unemployment. As to the financial sector of US economy, its dynamics for the next few months will depend on Federal Reserve (Fed) policy. If Fed starts to decrease Federal Fund rate, one can expect new and significant absolute values (financial bubbles) for key financial indexes. If Fed is not able to reduce Federal Fund rate due to high inflation, financial indexes will possibly hold their high levels in average (or even increase as a result of expectations for the Federal Fund rate reduction or as a result of positive news from individual economic sectors or companies). The development of the financial bubble may continue until statistic data will be able to confirm the start of a new recession that would initiate a huge financial crisis. Obviously, the possible reduction of Federal Fund rate will increase the power of the expected financial crisis. In any case, such a financial crisis, initiated by a new recession, will probably occur in second half of 2024, since the statistics, which reflect the past state of the economy, will continue generating ambiguous signals as to the possibility of a new recession. And only closer to the end of 2024 unambiguous statistical data about the state of economy at the middle of the year will appear. However, the official dating of the recession in NBER terms will be probably done even later. In this case it will be the middle of 2025 or even later. Usually, the deeper the recession is, the easier and earlier it can be dated. To my mind, even if Fed reduces the Federal Fund rate, it may fail to help avoid new recession.
Moreover, a significant level of inflation is unlikely to allow a relatively rapid reduction of the discount rate or any other aggressive boost for the economy
Keywords:recession, financial crisis, forecasting efficiency, economic information, forecasting model. US economy forecasts for 2024
JEL: E30, E31, E32, E37
Article in Ukrainian (pp. 76 - 92) |
REFERENCES ▼
2. Authers, J. (2022). Money Can’t Buy You Delay From a Recession Forever Bloomberg Opinion. December 6.
3. Bandura O. (2019). Economic cycle as a combination of stability and instability in economic development. Economy and Forecasting, 4: 5-21 Retrieved from doi.org/10.15407/econforecast2019.04.005)
4. Bauer, M, Martens, T. (August 27, 2018). Information in the Yield Curve about future recessions. FRBSF Economic Letter, 20. Federal Reserve Bank of San Francisco. Retrieved from www.frbsf.org/economicresearch/publications/economic-letter/2018/august/information-inyield-curve-about-future-recessions/
5. Chauvet, M., Piger, J. (2008) A Comparison of the Real-Time Performance of Business Cycle Dating Methods. Journal of Business and Economic Statistics, 26: 42-49. doi.org/10.1198/073500107000000296
6. Coven, T. (December 26, 2023) How Were So Many Economists So Wrong About the Recession? Bloomberg Opinion.
7. Kaissar, N. (December 22, 2023) The year there was no recession. Bloomberg Opinion.
8. Hamilton, J. (2011) Calling Recessions in Real Time. NBER Working Paper, 16162. doi.org/10.3386/w16162
9. Hamilton J. (2024) GDP-Based Recession Indicator Index [JHGDPBRINDX], retrieved from FRED, Federal Reserve Bank of St. Louis. Retrieved from fred.stlouisfed.org/series/JHGDPBRINDX
10. The Conference Board. US Leading indicators. (2024). Retrieved from www.conference-board.org/topics/us-leading-indicators
11. Minutes of the Federal Open Market Committee. (June 24-25, 2008). Board of Governors of the Federal Reserve System.
12. OECD. (2024). Retrieved from www.federalreserve.gov/monetarypolicy/fomcminutes20080625ep.htm/
13. Organization for Economic Co-operation and Development, Leading Indicators OECD (2024): Leading Indicators: Composite Leading Indicator: Normalized for United States [USALOLITONOSTSAM]. Retrieved from FRED, Federal Reserve Bank of St. Louis. fred.stlouisfed.org/series/USALOLITONOSTSAM
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Сalendar of events
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27 | 28 | 29 | 30 | 31 |