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A mixed splicing procedure for economic time series

Author

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  • Ángel de la Fuente

Abstract

This note develops a flexible methodology for splicing economic time series that avoids the extreme assumptions implicit in the procedures most commonly used in the literature. It allows the user to split the required correction to the older of the series being linked between its levels and growth rates on the basis what he knows or conjectures about the persistence of the factors that account for the discrepancy between the two series that emerges at their linking point. The time profile of the correction is derived from the assumption that the error in the older series reflects the inadequate coverage of emerging sectors or activities that grow faster than the aggregate.

Suggested Citation

  • Ángel de la Fuente, 2009. "A mixed splicing procedure for economic time series," UFAE and IAE Working Papers 796.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    • Handle: RePEc:aub:autbar:796.09
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    Cited by:

    1. Fatiha El agri & Mounir Jerry & Ahlam Qafas & Youness Manzah, 2024. "Determinants of the Export Function in Morocco: Evidence from ARDL and Dynamic ARDL Models," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 16(1), pages 98-129, January.
    2. Younger, Stephen D., 2016. "Ghana’s macroeconomic crisis: Causes, consequences, and policy responses," IFPRI discussion papers 1497, International Food Policy Research Institute (IFPRI).
    3. Felix Kimtai Kiminyei, 2019. "Empirical Investigation on the Relationship among Kenyan Public Debt, Tax Revenue and Government Expenditure," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(1), pages 142-159, March.

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    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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