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Gravity Estimations with Interval Data: Revisiting the Impact of Free Trade Agreements
Journal article   Open access   Peer reviewed

Gravity Estimations with Interval Data: Revisiting the Impact of Free Trade Agreements

Peter H. Egger, Mario Larch and Yoto V. Yotov
Economica (London), v 89(353)
01 Jan 2022
url
https://doi.org/10.1111/ecca.12394View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Business & Economics Economics Social Sciences
We challenge the common practice of estimating gravity equations with interval or averaged data in order to capture dynamic-adjustment effects to trade-policy changes. Instead, we point to a series of advantages of using consecutive-year data recognizing dynamic-adjustment effects. Our analysis reveals that, relative to interval or averaged data, the use of consecutive-year data avoids downward-biased effect estimates due to the distribution of trade-policy events during an event window as well as due to anticipation (pre-interval) and delayed (post-interval) effects, and it improves the efficiency of effect estimates due to the use of more data.

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Web of Science research areas
Economics
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