Michal Andrle

The Flexible System of Global Models – FSGM

The Flexible System of Global Models (FSGM) is a group of models developed by the Economic Modeling Division of the IMF for policy analysis. A typical module of FSGM is a multi-region, forward-looking semi-structural global model consisting of 24 regions. Using the three core modules focused on the G-20, the euro area, and emerging market economies, this paper outlines the theory under-pinning the model, and illustrates its macroeconomic properties by presenting its responses under a wide range of experiments, including monetary, financial, demand, supply, fiscal and international shocks.

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

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.

Adding Indonesia to the Global Projection Model

This is the fifth of a series of papers that are being written as part of a larger project to estimate a small quarterly Global Projection Model (GPM). The GPM project is designed to improve the toolkit to which economists have access for studying both own-country and cross-country linkages. In this paper, we add Indonesia to a previously estimated small quarterly projection model of the US, euro area, and Japanese economies. The model is estimated with Bayesian techniques, which provide a very efficient way of imposing restrictions to produce both plausible dynamics and sensible forecasting properties.

As You Sow so Shall You Reap: Public Investment Surges, Growth, and Debt Sustainability in Togo

This paper presents an analysis of the public investment scaling-up strategy for Togo using a dynamic macroeconomic model that explicitly analyzes the links between public investment, economic growth, and debt sustainability. In the model, public capital is productive and complementary to private capital, generating positive medium and long-run effects to increases in public investment. The model application indicates that a very large increase in public investment would have positive macroeconomic effects in the long-run, but would require unrealistic increases in the tax burden to cover recurrent costs and ensure debt sustainability. More modest increases in public investment would require more feasible increases in the tax burden, particularly if the efficiency of tax collection is improved. The model simulations also emphasize the importance of improvements in the efficiency of public investment to reap welfare gains. However, even if the macroeconomic implications of public investment scaling-up can be favorable in the long-run under certain assumptions on rates of return and efficiency of investment, the transition period is challenging and exposes the country to increased risk of unsustainable debt dynamics. The model was also used to assess the growth projections underlying the standard Excel-based debt sustainability analysis for Togo.

The Role of Domestic and External Shocks in Poland: Results from an Agnostic Estimation Procedure

This paper discusses interlinkages between Poland and the euro zone using a simple and agnostic econometric approach. Specifically, we estimate a trend-cycle VAR model using data for real and nominal variables, imposing powerful but uncontroversial assumptions that allow us to identify how external factors affect the evolution of business cycles in Poland in the period 1999-2012. Our results suggest that developments in the euro zone can explain about 50 percent of poland’s output and interest rate business cycle variance and about 25 percent of the variance of inflation.

Inflation and Output Comovement in the Euro Area: Love at Second Sight?

This paper discusses comovement between inflation and output in the euro area. The strength of the comovement may not be apparent at first sight, but is clear at business cycle frequencies. Our results suggest that at business cycle frequency, the output and core inflation comovement is high and stable, and that inflation lags the cycle in output with roughly half of its variance. The strong relationship of output and inflation hints at the importance of demand shocks for the euro area business cycle.

A Model-Based Analysis of Spillovers: The Case of Poland and the Euro Area

This paper studies economic and financial spillovers from the euro area to Poland in a two-country semi-structural model. The model incorporates various channels of macrofinancial linkages and cross-border spillovers. We parameterize the model through an extensive calibration process, and provide a wide range of model properties and evaluation exercises. Simulation results suggest a prominent role of foreign demand shocks (euro area and global) in driving Polands output, inflation and interest rate dynamics, particularly in recent years. Our model also has the capability for medium-term conditional forecasting and policy analysis.

Money Targeting in a Modern Forecasting and Policy Analysis System: An Application to Kenya

We extend the framework in Andrle and others (2013) to incorporate an explicit role for money targets and target misses in the analysis of monetary policy in low-income countries (LICs), with an application to Kenya. We provide a general specification that can nest various types of money targeting (ranging from targets based on optimal money demand forecasts to those derived from simple money growth rules), interest-rate based frameworks, and intermediate cases. Our framework acknowledges that ex-post adherence to targets is in itself an objective of policy in LICs; here we provide a novel interpretation of target misses in terms of structural shocks (aggregate demand, policy, shocks to money demand, etc). In the case of Kenya, we find that: (i) the setting of money targets is consistent with money demand forecasting, (ii) targets have not played a systematic role in monetary policy, and (iii) target misses mainly reflect shocks to money demand. Simulations of the model under alternative policy specifications show that the stronger the ex-post target adherence, the greater the macroeconomic volatility. Our findings highlight the benefits of a model-based approach to monetary policy analysis in LICs, including in countries with money-targeting frameworks.

Banks in The Global Integrated Monetary and Fiscal Model

The Global Integrated Monetary and Fiscal model (GIMF) is a multi-region DSGE model developed by the Economic Modeling Division of the IMF for policy and scenario analysis. This paper compares two versions of GIMF, GIMF with a conventional financial accelerator, where bank balance sheets do not play a prominent role, and GIMF with both a financial accelerator and a fully specified banking sector that can make lending losses, and that is regulated according to Basel-III. We illustrate the comparative macroeconomic properties of both models by presenting their responses to a wide range of fiscal, demand, supply and financial shocks.

System Priors: Formulating Priors About DSGE Models' Properties

This paper proposes a novel way of formulating priors for estimating economic models. System priors are priors about the models features and behavior as a system, such as the sacrifice ratio or the maximum duration of response of inflation to a particular shock, for instance. System priors represent a very transparent and economically meaningful way of formulating priors about parameters, without the unintended consequences of independent priors about individual parameters. System priors may complement or also substitute for independent marginal priors. The new philosophy of formulating priors is motivated, explained and illustrated using a structural model for monetary policy.