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New Coincident and Leading Indexes for the Lebanese Economy

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  • Matta Samer

    (World Bank – Macroeconomics & Fiscal Management Global Practice, Bourrie House, Allenby Street Down Town, Beirut, Beirut, Lebanon)

Abstract

Weak economic statistics in Lebanon impede economic analysis and decision making. This paper presents a new coincident index and a leading index for the Lebanese economy. A new methodology, based on the National Bureau of Economic Research–Conference Board approach, was used to construct these indexes. The indexes can be used as monthly proxies for the evolution of real gross domestic product with a relatively small time lag (four to five months). Notwithstanding the relatively small sample period, the results reveal promising statistical properties that should make these new indexes valuable coincident and leading (one-year ahead) indexes for analyzing the dynamics of the Lebanese economy. However, given limitations on the length of the gross domestic product time series in Lebanon, the accuracy of these indexes in tracking the business cycle of the Lebanese economy is expected to improve over time as more data points become available.

Suggested Citation

  • Matta Samer, 2015. "New Coincident and Leading Indexes for the Lebanese Economy," Review of Middle East Economics and Finance, De Gruyter, vol. 11(3), pages 277-303, December.
  • Handle: RePEc:bpj:rmeecf:v:11:y:2015:i:3:p:277-303:n:2
    DOI: 10.1515/rmeef-2014-0039
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    References listed on IDEAS

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    1. Mr. Joannes Mongardini & Tahsin Saadi Sedik, 2003. "Estimating Indexes of Coincident and Leading Indicators: An Application to Jordan," IMF Working Papers 2003/170, International Monetary Fund.
    2. Marcellino, Massimiliano, 2005. "Leading Indicators: What Have We Learned?," CEPR Discussion Papers 4977, C.E.P.R. Discussion Papers.
    3. Issler, Joao Victor & Vahid, Farshid, 2006. "The missing link: using the NBER recession indicator to construct coincident and leading indices of economic activity," Journal of Econometrics, Elsevier, vol. 132(1), pages 281-303, May.
    4. Sana Souaid Jad, 2011. "The use of surveys to measure sentiment and expected behaviour of key sectors in the economy: evidence from the business survey conducted by the Central Bank of Lebanon," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 248-277, Bank for International Settlements.
    5. Issler, Joao Victor & Vahid, Farshid, 2006. "The missing link: using the NBER recession indicator to construct coincident and leading indices of economic activity," Journal of Econometrics, Elsevier, vol. 132(1), pages 281-303, May.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Chauvet, Marcelle, 1998. "An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 969-996, November.
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