Leading and Lagging Indicators Of the Economic Crisis
Silvia Palasca and
Elisabeta Jaba
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Silvia Palasca: Alexandru Ioan Cuza University of Iasi
Elisabeta Jaba: Alexandru Ioan Cuza University of Iasi
Romanian Statistical Review, 2014, vol. 62, issue 3, 31-47
Abstract:
The issues of business cycles assessment and most of all forecasting turning points represent crucial components in the game of crisis anticipation. The aim of this study is to statistically evaluate the predictive power of several macro economic variables in estimating economic changes and to classify them into either leading or lagging indicators. The importance thereof resides in the fact that, while the leading indicators are useful in anticipating downturns, a change within the structure or the dynamics of the lagging indicators could signal the beginning of an economic upswing. The detection of the turning points in the macroeconomic series, focusing exclusively on the US, is performed by employing Markov chains switching models and the taxonomy of the indicators is awarded accordingly. Results show that the price of gold is a leading indicator, while unemployment is a lagging indicator of the crisis. Further research will include both an enlarged sample of variables and a wider array of countries in order to validate the results.
Keywords: business cycle; gold price; Markov models; unemployment (search for similar items in EconPapers)
JEL-codes: E24 E32 F44 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:rsr:journl:v:62:y:2014:i:3:p:31-47
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