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A contribution to the chronology of turning points in global economic activity (1980-2012)

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Abstract

The Database of Global Economic Indicators (DGEI) of the Federal Reserve Bank of Dallas is aimed at standardizing and disseminating world economic indicators for the study of globalization. It includes a core sample of 40 countries with available indicators and broad coverage for quarterly real GDP, and the monthly series of industrial production (IP), Purchasing Managers Index (PMI), merchandise exports and imports, headline CPI, CPI (ex. food and energy), PPI/WPI inflation, nominal and real exchange rates, and official/policy interest rates (see Grossman, Mack, and Martnez-Garca (2013)). This paper aims to codify in a systematic way the chronology of global business cycles for DGEI. We propose a novel chronology based on IP data for a sample of 84 countries at a monthly frequency from 1980 until now, and assess the turning points obtained as a signal of the underlying state of the economy as tracked by the indicators of DGEI. We conclude by proposing and also evaluating global recession probability forecasts up to 12 months ahead. The logit model proposed uses the DGEI aggregate indicators to offer advanced warning of turning point in the global cycle?by this metric a global downturn in 2013 does not appear likely.

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  • Valerie Grossman & Adrienne Mack & Enrique Martínez García, 2014. "A contribution to the chronology of turning points in global economic activity (1980-2012)," Globalization Institute Working Papers 169, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddgw:169
    DOI: 10.24149/gwp169
    Note: Published as: Valerie Grossman, Adrienne Mack and Enrique Martínez-García (2015), "A Contribution to the Chronology of Turning Points in Global Economic Activity (1980–2012)," Journal of Macroeconomics 46: 170-185.
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    12. Stephen Broadberry & Jagjit S. Chadha & Jason Lennard & Ryland Thomas, 2023. "Dating business cycles in the United Kingdom, 1700–2010," Economic History Review, Economic History Society, vol. 76(4), pages 1141-1162, November.
    13. Finn E. Kydland & Enrique Martínez García, 2020. "Checking the Path Towards Recovery from the COVID-19 Isolation Response," Globalization Institute Working Papers 384, Federal Reserve Bank of Dallas.
    14. Mark A. Wynne & Ren Zhang, 2018. "Measuring The World Natural Rate Of Interest," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 530-544, January.
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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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