Abstract
The current best practices in measuring, monitoring, and forecasting economic cycles are drawn from the experience of mature economies such as the USA, Japan, and several Western European countries. Meanwhile, there are a lot of peculiarities in emerging economies that should be kept in mind when developing a system for tracking and forecasting their short-run dynamics. In the literature, there have been numerous attempts to apply the international best practices to emerging economies, but these attempts have usually been sporadic. The experience of the BRICS economies accumulated in this book allows for a fresh look on the problem of the development and use of cyclical indicators and is potentially useful for other emerging countries.
Support from the Basic Research Program of the National Research University Higher School of Economics is gratefully acknowledged by Sergey Smirnov.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
See “national” chapters in Part II of this book.
- 2.
See Kershoff (2018) for details.
- 3.
In fact, UNSD and Eurostat with the cooperation of Statistics Canada, the CBS (Statistics Netherlands) and Rosstat organized a series of seminars (held in 2009 and 2010) to discuss these and related issues and initiated projects to document the state of the art.
- 4.
See “national” chapters in Part IV for details.
- 5.
- 6.
- 7.
See Ozyildirim (2018) for details.
- 8.
See Bry and Boschan (1971).
- 9.
See Campelo et al. (2018).
- 10.
“National” chapters from Part IV of this volume distinctly fill this gap.
- 11.
Mazzi and Cannata (2017: 542) advised to use time series covering “at least two or three cycles, i.e., 15–18 years.” Developers from emerging and transition countries are often more impatient and narrow this period by a decade to 5–8 years (approximately one cycle and a half).
- 12.
See Smirnov (2011: 10–13) for their survey.
References
Bry G, Boschan C (1971) Cyclical analysis of economic time series: selected procedures and computer programs, NBER technical working paper no. 20
Burns AF, Mitchell WC (1946) Measuring business cycles. NBER
Campelo A Jr, Ozyildirim A, Sima-Friedman J, Picchetti P, Lima SPM (2018) Coincident and leading indicators for brazilian cycles. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Kershoff G (2018) Business tendency surveys in India. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Laubscher P (2018) Forecasting business cycles in South Africa. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Mazzi GL, Cannata RR (2017) Guidelines for the construction of composite cyclical indicators. In: Mazzi GL, Ozyildirim A (eds) Handbook on cyclical composite indicators for business cycle analysis. Publications Office of the European Union, Luxembourg, pp 533–560
Mazzi GL, Ozyildirim A (2017) Business cycles theories: an historical overview. In: Mazzi GL, Ozyildirim A (eds) Handbook on cyclical composite indicators for business cycle analysis. Publications Office of the European Union, Luxembourg, pp 27–71
OECD (2003) Business tendency surveys: a handbook. http://www.oecd.org/std/leading-indicators/31837055.pdf
Ozyildirim A (2018) Compiling cyclical composite indexes: The Conference Board indicators approach. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Picchetti P (2018a) A Bayesian approach to predicting cycles using composite indicators. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Picchetti P (2018b) Brazilian business cycles as characterized by CODACE. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
Smirnov SV (2011) Discerning ‘turning points’ with cyclical indicators: a few lessons from ‘real time’ monitoring the 2008–2009 recession. National Research University “Higher School of Economics”. Working paper WP2/2011/03
Smirnov SV (2018) A survey of composite leading indices for Russia. In: Smirnov S, Ozyildirim A, Picchetti P (eds) Business cycles in BRICS. Springer, Cham
The Conference Board (2001) Business cycle indicators handbook. New York
UNSD (2015) Handbook on economic tendency surveys. https://unstats.un.org/unsd/nationalaccount/docs/ETS_Handbook_wCover.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Smirnov, S.V., Ozyildirim, A., Kershoff, G. (2019). Measurement, Monitoring, and Forecasting Economic Cycles: BRICS Lessons. In: Smirnov, S., Ozyildirim, A., Picchetti, P. (eds) Business Cycles in BRICS. Societies and Political Orders in Transition. Springer, Cham. https://doi.org/10.1007/978-3-319-90017-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-90017-9_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90016-2
Online ISBN: 978-3-319-90017-9
eBook Packages: Political Science and International StudiesPolitical Science and International Studies (R0)