Preview

The world of new economy

Advanced search

Leading Econometric Diagnostics:in Search of New Paradigm

Abstract

The analysis of existing methods of assessing the effectiveness of monetary policy and models for predictive diagnostics of economic growth, which allowed us to reveal their shared methodological and technical disadvantages was carried out in the article. It is shown that the methodological disadvantages include the fact that the complexity of monetary policy and the process of economic growth requires a special procedure for the selection of those monetary indicators, which serve as real drivers of growth, while today these figures randomly collected from available banking statistics. So, the activity of the central monetary institutions is modeled without reliance on modern institutional theory. Technical disadvantages include the use of models quarterly statistics, provoking serious gaps and differences in performance within year, as well as the fact that most existing proactive models use lags of 2-4 months, which allows you to talk about the effect of pre-emption only with a certain degree of conditionality. In the article the need for the development and use of more advanced pre-emptive indicators and models are shown.

About the Author

N. A. Ekimova
Financial University
Russian Federation


References

1. Goldsmith R. W. Financial structure and development. New Haven: Yale University Press, 1969, 561 p.

2. Rubtsov B. B. Evolution of Financial Market Institutes and Economic Development: head of the monograph “Financial Institutes and Economic Development” [Jevoljucija institutov finansovogo rynka i razvitie jekonomiki: glava monografii «Finansovye instituty i jekonomicheskoe razvitie»]. Moscow, IMJeMO RAN, 2006 (In Russ.).

3. King R. G., Levine R. Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 1993, vol. 108, no. 3, pp. 717–737.

4. Levine R., Zervos S. Stock markets, banks, and economic growth. The American Economic Review, 1998, vol. 88, no. 3, pp. 537–558.

5. Rajan R. G., Zingales L. (1998). Financial Dependence and Growth. American Economic Review, 1998, vol. 88, no. 3, pp. 559–586.

6. Arcand J. L., Berkes E., Panizza U. (2012). Too Much Finance? Journal of Economic Growth, 2012, vol. 20, no. 2, pp. 105–148.

7. Cecchetti G., Kharroubi E. (2012). Reassessing the Impact of Finance on Growth. Bank for International Settlements. BIS Working Papers, 2012, no. 381. URL: http://www.bis.org/publ/work381.pdf (аccessed 26 October 2017).

8. Sahay R., Cihak M., N’Diaye P., Barajas A., Bi R., Ayala D., Gao Y., Kyobe A., Nguyen L., Saborowski C., Svirydzenka K., Yousefi S. R. Rethinking Financial Deepening: Stability and Growth in Emerging Markets. International Monetary Fund, 2015. URL: http://www.imf.org/external/pubs/ft/sdn/2015/sdn1508.pdf (аccessed 26 October 2017).

9. Mamonov M., Pestova A., Pankova V., Akhmetov R., Solntsev O. Bank of Russia Working Paper Series. Financial Sector, Economic Growth and Macroeconomic Stability [Serija dokladov ob jekonomicheskih issledovanijah. Finansovyj sektor, jekonomicheskij rost i makrojekonomicheskaja stabil’nost’]. Central’nyj bank Rossijskoj Federacii, 2017, no. 21, July, pp. 33. URL: http://www.cbr.ru/Content/Document/File/16718/wp_21.pdf (аccessed 26 October 2017) (In Russ.).

10. Tarasova G. M., Enkhtuya T. Comparative Characteristics of Monetary Policy of the Central Banks of Mongolia and Russia [Sravnitel’naja harakteristika denezhno- kreditnoj politiki central’nyh bankov Mongolii i Rossii]. Mezhdunarodnye finansy — International finance, 2013, no. 27 (165), pp. 6–12.

11. Chernyavsky D. O. Quarterly Forecasting Model of the Republic of Kazakhstan and Its Role in Making Monetary Policy Decisions [Kvartal’naja prognosticheskaja model’ Respubliki Kazahstan i ee rol’ v prinjatii reshenij po monetarnoj politike]. Jekonomicheskoe obozrenie Nacional’nogo Banka Respubliki Kazahstan. 2016, no. 4. URL: http://www.nationalbank.kz/cont/EV_2016_4.pdf (аccessed 26 October 2017) (In Russ.).

12. Zhuzbaev A. M. International Experience and Prospects of Use of Monthly Leading Indicator of Business Cycle in Monetary Policy the National Bank of Kazakhstan [Mezhdunarodnyj opyt i perspektivy ispol’zovanija ezhemesjachnogo operezhajushhego indikatora delovogo cikla v denezhno-kreditnoj politike Nacional’nogo Banka RK]. Jekonomicheskoe obozrenie Nacional’nogo Banka Respubliki Kazahstan. 2016, no. 4. URL: http://www.nationalbank.kz/cont/EV_2016_4.pdf (аccessed 26 October 2017) (In Russ.).

13. Makenbaeva K. B. Composite Leading Indicator — Tool for Monitoring Business Climate and Short-Term Forecasting [Kompozitnyj operezhajushhij indikator — instrument dlja monitoringa delovogo klimata i kratkosrochnogo prognozirovanija]. Jekonomicheskoe obozrenie Nacional’nogo Banka Respubliki Kazahstan. 2016, no. 4. URL: http://www.nationalbank.kz/cont/EV_2016_4.pdf (аccessed 26 October 2017) (In Russ.).

14. Mamonov M., Pankova V., Akhmetov R., Pestova A., Solntsev O. Impact of Financial Sector Development on Economic Growth and Its Volatility: analytical note [Vlijanie razvitija finansovogo sektora na jekonomicheskij rost i ego volatil’nost’: analiticheskaja zapiska]. Central’nyj bank Rossijskoj Federacii. 2017, no. 8. URL: http://www.cbr.ru/Content/Document/File/16747/03.pdf (аccessed 26 October 2017) (In Russ.).

15. Kruk D., Zaretsky A. Methodology of Composite Index of Leading Indicators for Belarus [Metodologija postroenija svodnogo indeksa operezhajushhih indikatorov dlja Belarusi]. Rabochij material Issledovatel’skogo centra IMP WP/11/01. 2011. URL: http://www.research.by/webroot/delivery/files/wp2011r01.pdf (аccessed 26 October 2017) (In Russ.).


Review

For citations:


Ekimova N.A. Leading Econometric Diagnostics:in Search of New Paradigm. The world of new economy. 2017;(4):40-47. (In Russ.)

Views: 509


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-6469 (Print)
ISSN 2220-7872 (Online)