Unobservable Components Estimates of Output Gaps in Five Asian Economies

Working Paper: CEPR ID: DP3393

Authors: Stefan Gerlach; Matthew Yiu

Abstract: This Paper estimates output gaps for Hong Kong, Korea, the Philippines, Singapore and Taiwan, employing the HP filter and unobservable-components (UC) techniques. The latter approach assumes that actual output is the sum of potential output, which follows a random walk with a time-varying drift, and a stationary output gap. While the results imply that UC methods are useful in estimating output gaps in Asia, simple Phillips curves suggest that the information contents of the two measures of the gap are essentially identical. The main advantage of the UC technique is that it allows the construction of confidence bands for the gap.

Keywords: Kalman Filtering; Output Gaps; Unobservable Components

JEL Codes: E30


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
UC method (Y50)output gap (E23)
HP filter (L63)output gap (E23)
output gap (E23)inflationary pressures (E31)
UC method (Y50)inflationary pressures (E31)
HP filter (L63)inflationary pressures (E31)

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