Forecasting and Monetary Policy Analysis in Low-Income Countries: Food and non-Food Inflation in Kenya

Author/Editor:

Michal Andrle ; Andrew Berg ; R. Armando Morales ; Rafael A Portillo ; Jan Vlcek

Publication Date:

March 7, 2013

Electronic Access:

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Summary:

We develop a semi-structural new-Keynesian open-economy model, with separate food and non-food inflation dynamics, for forecasting and monetary policy analysis in low-income countries and apply it to Kenya. We use the model to run several policy-relevant exercises. First, we filter international and Kenyan data (on output, inflation and its components, exchange rates and interest rates) to recover a model-based decomposition of most variables into trends (or potential values) and temporary movements (or gaps)—including for the international and domestic relative price of food. Second, we use the filtration exercise to recover the sequence of domestic and foreign macroeconomic shocks that account for business cycle dynamics in Kenya over the last few years, with a special emphasis on the various factors (international food prices, monetary policy) driving inflation. Third, we perform an out-of-sample forecast to identify where the economy—and therefore policy—was likely headed given the inflationary pressures at the end of our sample (2011Q2). We find that while imported food price shocks have been an important source of inflation, both in 2008 and more recently, accommodating monetary policy has also played a role, most notably through its effect on the nominal exchange rate. The model correctly predicted that a policy tightening was required, although the actual interest rate increase was larger. We discuss implications for the use of model-based policy analysis in low income countries.

Series:

Working Paper No. 2013/061

Subject:

English

Publication Date:

March 7, 2013

ISBN/ISSN:

9781475537444/1018-5941

Stock No:

WPIEA2013061

Pages:

63

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