Aggregation Bias Does Explain the PPP Puzzle

Working Paper: NBER ID: w11607

Authors: Jean Imbs; Haroon Mumtaz; Morten O. Ravn; Hélène Rey

Abstract: This article summarizes our views on the role of an "aggregation bias" in explaining the PPP Puzzle, in response to the several papers recently written in reaction to our initial contribution. We discuss in particular the criticisms of Imbs, Mumtaz, Ravn and Rey (2002) presented in Chen and Engel (2005). We show that their contentions are based on: (i) analytical counter-examples which are not empirically relevant; (ii) simulation results minimizing the extent of "aggregation bias"; (iii) unfounded claims on the impact of measurement errors on our results; and (iv) problematic implementation of small-sample bias corrections. We conclude, as in our original paper, that "aggregation bias" goes a long way towards explaining the PPP puzzle.

Keywords: No keywords provided

JEL Codes: C23; F31; F15


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
aggregation bias (C43)persistence of real exchange rates (F31)
correct modeling of dynamics (C69)persistence of real exchange rates (F31)
heterogeneous dynamics (C69)aggregation bias (C43)
corrected estimates (C51)half-life of real exchange rates (F31)
aggregation bias (C43)resolution of PPP puzzle (D74)

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