IMF Working Papers

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

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

March 7, 2013

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Michal Andrle, Andrew Berg, R. Armando Morales, Rafael A Portillo, and Jan Vlcek. Forecasting and Monetary Policy Analysis in Low-Income Countries: Food and non-Food Inflation in Kenya, (USA: International Monetary Fund, 2013) accessed September 27, 2024
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

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.

Subject: Financial services, Food prices, Foreign exchange, Inflation, Output gap, Prices, Production, Real exchange rates, Real interest rates

Keywords: CPI inflation series, Food inflation, Food price, Food Prices, Forecasting, Global, Inflation, Inflation development, Inflation dynamics, Inflation expectation, Inflation outlook, Inflation rate, Inflation surge, Kenya, Low-Income Countries, Monetary policy, Monetary policy response, Output gap, Real exchange rates, Real interest rates, Reverse repo, Sub-Saharan Africa, WP

Publication Details

  • Pages:

    63

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2013/061

  • Stock No:

    WPIEA2013061

  • ISBN:

    9781475537444

  • ISSN:

    1018-5941