Forecasting Inflation and GDP growth: Comparison of Automatic Leading Indicator (ALI) Method with Macro Econometric Structural Models (MESMs)

Duo Qin, Marie Anne Cagas, Geoffrey Ducanes, Nedelyn Magtibay-Ramos and Pilipinas Quising
Additional contact information
Marie Anne Cagas: Asian Development Bank (ADB), and University of the Philippines
Nedelyn Magtibay-Ramos: Asian Development Bank (ADB)
Pilipinas Quising: Asian Development Bank (ADB)

No 554, Working Papers from Queen Mary University of London, School of Economics and Finance

Abstract: This paper compares forecast performance of the ALI method and the MESMs and seeks ways of improving the ALI method. Inflation and GDP growth form the forecast objects for comparison, using data from China, Indonesia and the Philippines. The ALI method is found to produce better forecasts than those by MESMs in general, but the method is found to involve greater uncertainty in choosing indicators, mixing data frequencies and utilizing unrestricted VARs. Two possible improvements are found helpful to reduce the uncertainty: (i) give theory priority in choosing indicators and include theory-based disequilibrium shocks in the indicator sets; and (ii) reduce the VARs by means of the general→specific model reduction procedure.

Keywords: Dynamic factor models; Model reduction; VAR (search for similar items in EconPapers)
JEL-codes: C53 E31 (search for similar items in EconPapers)
Date: 2006-03-01
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Citations: View citations in EconPapers (1)

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