Explaining Inflation in Colombia: A Disaggregated Phillips Curve Approach

We study inflation dynamics in Colombia using a bottom-up Phillips curve approach. This allows us to capture the different drivers of individual inflation components. We find that the Phillips curve is relatively flat in Colombia but steeper than recent estimates for the U.S. Supply side shocks play...

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Bibliographic Details
Main Author: Lanau, Sergi
Other Authors: Robles, Adrian, Toscani, Frederik
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 2018
Series:IMF Working Papers
Subjects:
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
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651 4 |a Colombia 
653 |a Price indexes 
653 |a Inflation 
653 |a Output gap 
653 |a Economic Forecasting 
653 |a Deflation 
653 |a Production 
653 |a Consumer price indexes 
653 |a Currency 
653 |a Economic forecasting 
653 |a Prices, Business Fluctuations, and Cycles: Forecasting and Simulation 
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653 |a Price Level 
653 |a Foreign Exchange 
653 |a Forecasting and Other Model Applications 
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653 |a Macroeconomics 
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653 |a Exchange rates 
653 |a Foreign exchange 
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700 1 |a Toscani, Frederik 
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520 |a We study inflation dynamics in Colombia using a bottom-up Phillips curve approach. This allows us to capture the different drivers of individual inflation components. We find that the Phillips curve is relatively flat in Colombia but steeper than recent estimates for the U.S. Supply side shocks play an important role for tradable and food prices, while indexation dynamics are important for non-tradable goods. We show that besides allowing for a more detailed understanding of inflation drivers, the bottom-up approach also improves on an aggregate Phillips curve in terms of forecasting ability. In the baseline forecast scenario, both headline and core inflation converge towards the Central Bank’s inflation target of 3 percent by end-2018 but these favorable inflation dynamics are vulnerable to large supply shocks