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Business and Economics > Production and Operations Management

You are looking at 1 - 10 of 41 items for :

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  • Forecasting and Other Model Applications x
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Cover IMF Working Papers
G3MOD: A Multi-Country Global Forecasting Model
Iaroslav Miller
,
Daniel Baksa
,
Philippe D Karam
, and
Tugrul Vehbi
This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China) and the rest of the world, G3MOD leverages insights from central banks’ policy models, to consistently translate external forecasts such as the IMF’s World Economic Outlook into a Quarterly Projection Model format. The model offers flexible simulations and policy assessments and is structured around trade and financial linkages. G3MOD supports model-based forecasts and risk evaluations, helping central banks integrate external forecasts and scenarios into their own forecasts, thus generating timely macroeconomic projections. Its calibration ensures alignment with historical data, economic coherence, and robust predictive capability, and it has been validated against major global projection models. The complete set of codes, calibrated parameter values, and supporting programs are posted with this working paper.
Keywords:
Quarterly Projection Model; Forecasting and Policy Analysis; Monetary Policy; Macroeconomic Modeling; forecasting accuracy; macroeconomic forecasting; risk evaluation; demand shock; Inflation; Output gap; Commodity prices; Nominal effective exchange rate; Real exchange rates; Global
Cover IMF Working Papers
Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning
Yang Liu
,
Ran Pan
, and
Rui Xu
Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships, and focusing on out-of-sample performance. In this paper, we apply machine learning (ML) models to forecast near-term core inflation in Japan post-pandemic. Japan is a challenging case, because inflation had been muted until 2022 and has now risen to a level not seen in four decades. Four machine learning models are applied to a large set of predictors alongside two benchmark models. For 2023, the two penalized regression models systematically outperform the benchmark models, with LASSO providing the most accurate forecast. Useful predictors of inflation post-2022 include household inflation expectations, inbound tourism, exchange rates, and the output gap.
Keywords:
Core inflation; forecasting; machine learning models; LASSO; Japan; household inflation expectation; forecasting inflation; machine learning method; Annex I. machine learning; enhanced inflation; Inflation; Machine learning; Econometric models; Output gap
Cover IMF Working Papers
A Projection Model for Resource-rich and Dollarized Economy: The Democratic Republic of the Congo
Victor Musa
,
Bertrand Gilles Umba
,
Lewis Mambo
,
Jonas Kibala
,
Christian Kandolo
,
Josephine Mushiya
,
Yannick Luvezo
,
Jules Nsunda
,
Grégoire Lumbala
,
Yves Siasi
,
Serge Mfumukanda
,
Lubaki Ange
,
Kabata Olivier
,
Luc Shindano
,
Dyna Heng
,
Diego Rodriguez Guzman
, and
Barna Szabo
The paper introduces a semi-structural Quarterly Projection Model (QPM) tailored for the Democratic Republic of the Congo (DRC), highlighting its resource richness and high degree of dollarization. We provide an overview of the model's specifications to elucidate key features of the DRC economy and present its properties, evaluating its alignment with DRC data and assessing its goodness of fit. Additionally, the paper demonstrates the QPM's practical application through a counterfactual scenario, comparing policy recommendations with the actual policy responses of the Central Bank of the Republic of Congo to observed exchange rate and inflation pressures in 2023. Beyond the QPM, the paper showcases supplementary tools that enhance its utility for generating medium-term forecasts and developiong narratives in support of monetary policymaking. Specifically, we introduce the Nowcasting and Near-Term Forecast models, designed to assess the economy in real-time and predict short-term inflationary trends.
Keywords:
Resource-rich; Dollarization; Monetary policy; Inflation; Exchange Rate Policies; DRC QPM model; DRC economy; DRC's economy; Near-Term Forecast model; GDP data; Annex II; Output gap; Exchange rates; Mining sector; Exchange rate devaluation; Global
Cover IMF Working Papers
Assessing the Impact of Structural Reforms on Potential Output: The Case of Morocco
Hippolyte W. Balima
,
Olivier Bizimana
, and
Ananta Dua
This paper assesses Morocco’s potential output and the scope for structural reforms to reverse the downward trend in economic performance observed since the Global Financial Crisis. Using multivariate filtering (MVF) techniques, our analysis finds that the downward secular trend in potential growth was primarily driven by the decline in the contribution of labor inputs. We then combine production function and general equilibrium model approaches to provide estimates of the potential macroeconomic impact of Morocco’s structural reform agenda. The results suggest that the planned structural reforms could deliver sizable output gains in the medium to long term with reforms that would reduce the large gender gap in Morocco’s labor market yielding the greatest payoffs.
Keywords:
Economic growth; structural reforms; potential output; productivity; multivariate filter; dynamic stochastic general equilibrium models; fiscal policy; Morocco; production function approach; Morocco's agenda; reform multiplier; structural reform agenda; case of Morocco; Total factor productivity; Labor force participation; Production growth; Global
Cover IMF Working Papers
Global Economic Impacts of Physical Climate Risks
Caterina Lepore
and
Roshen Fernando
This paper evaluates the global economic consequences of physical climate risks under two Shared Socioeconomic Pathways (SSP 1-2.6 and SSP 2-4.5) using firm-level evidence. Firstly, we estimate the historical sectoral productivity changes from chronic climate risks (gradual changes in temperature and precipitation) and extreme climate conditions (representative of heatwaves, coldwaves, droughts, and floods). Secondly, we produce forward-looking sectoral productivity changes for a global multisectoral sample of firms. For floods, these estimates account for the persistent productivity changes from the damage to firms’ physical capital. Thirdly, we assess the macroeconomic impact of these shocks within the global, multisectoral, intertemporal general equilibrium model: G-Cubed. The results indicate that, in the absence of additional adaptation relative to that already achieved by 2020, all the economies would experience substantial losses under the two climate scenarios and the losses would increase with global warming. The results can be useful for policymakers and practitioners interested in conducting climate risk analysis.
Keywords:
climate risk analysis; capital markets department; climate risk; physical capital; productivity change; Climate change; Productivity; Agricultural sector; Natural disasters; Global; North America; Western Europe; Europe
Cover IMF Working Papers
Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe
Mahir Binici
,
Samuele Centorrino
,
Mr. Serhan Cevik
, and
Gyowon Gwon
Global inflation has surged to 7.5 percent in August 2022, from an average of 2.1 percent in the decade preceding the COVID-19 pandemic, threatening to become an entrenched phenomenon. This paper disentangles the confluence of contributing factors to the post-pandemic rise in consumer price inflation, using monthly data and a battery of econometric methodologies covering a panel of 30 European countries over the period 2002-2022. We find that while global factors continue to shape inflation dynamics throughout Europe, country-specific factors, including monetary and fiscal policy responses to the crisis, have also gained greater prominence in determining consumer price inflation during the pandemic period. Coupled with increasing persistence in inflation, these structural shifts call for significant and an extended period of monetary tightening and fiscal realignment.
Keywords:
Inflation; output gap; globalization; Phillips curve; dynamic factor model; fixed effect estimator; local projection method; inflation dynamics; consumer price inflation; fiscal policy response; inflation expectation; inflation process; commodity price; core CPI; Commodity prices; COVID-19; Energy prices; Global; Europe
Cover IMF Working Papers
Modeling and Forecasting Monthly Tourism Arrivals to Aruba Since COVID-19 Pandemic
Olga Bespalova
This paper improves short-term forecasting models of monthly tourism arrivals by estimating and evaluating a time-series model with exogenous regressors (ARIMA-X) using a case of Aruba, a small open tourism-dependent economy. Given importance of the US market for Aruba, it investigates informational value of Google Searches originating in the USA, flight capacity utilization on the US air-carriers, and per capita demand of the US consumers, given the volatility index in stock markets (VIX). It yields several insights. First, flight capacity is the best variable to account for the travel restrictions during the pandemic. Second, US real personal consumption expenditure becomes a more significnat predictor than income as the former better captured impact of the COVID-19 restrictions on the consumers’ behavior, while income boosted by the pandemic fiscal support was not fully directed to spending. Third, intercept correction improves the model in the estimation period. Finally, the pandemic changed econometric relationships between the tourism arrivals and their main determinants, and accuracy of the forecast models. Going forward, the analysts should re-estimate the models. Out-of-sample forecasts with 5 percent confidence intervals are produced for 18 months ahead.
Keywords:
Econometric Modeling; Forecasting; tourism; arrivals; tourist arrivals; Google Trends; flight capacity utiilization; load factor; time-series models; time-series econometrics; arima; Aruba; Covid-19; Pandemic; tourism arrival; arrivals to Aruba; Aruba tourism authority; time-series model; IMF working papers; consumption expenditure; Capacity utilization; Unemployment rate; Caribbean
Cover IMF Working Papers
Inflation-at-Risk in in the Middle East, North Africa, and Central Asia
Mr. Maximilien Queyranne
,
Romain Lafarguette
, and
Kubi Johnson
This paper investigates inflation risks for 12 Middle East and Central Asia countries, with an equal share of commodities exporters and importers. The empirical strategy leverages the recent developments in the estimation of macroeconomic risks and uses a semi-parametric approach that balances well flexibility and robustness for density projections. The paper uncovers interesting features of inflation dynamics in the region, including the role of backward versus forward-looking drivers, non-linearities, and heterogeneous and delayed exchange rate pass-through. The results have important implications for the conduct of monetary policy and central bank communication in the Middle East and Central Asia and emerging markets in general.
Keywords:
Emerging markets; inflation; inflation expectations; Phillips Curve; monetary policy; central bank communication; Middle East; North Africa; Central Asia; inflation expectation; inflation risk; self-reinforcing inflation dynamics; baseline inflation forecast; fan chart; Commodity prices; Output gap; Exchange rates; Consumer price indexes; Middle East and Central Asia
Cover IMF Working Papers
An Evaluation of World Economic Outlook Growth Forecasts, 2004–17
Oya Celasun
,
Jungjin Lee
,
Mr. Mico Mrkaic
, and
Mr. Allan Timmermann
This paper examines the performance of World Economic Outlook (WEO) growth forecasts for 2004-17. Short-term real GDP growth forecasts over that period exhibit little bias, and their accuracy is broadly similar to those of Consensus Economics forecasts. By contrast, two- to five-year ahead WEO growth forecasts in 2004-17 tend to be upward biased, and in up to half of countries less accurate than a naïve forecast given by the average growth rate in the recent past. The analysis suggests that a more efficient use of available information on internal and external factors—such as the estimated output gap, projected terms of trade, and the growth forecasts of major trading partners—can improve the accuracy of some economies’ growth forecasts.
Keywords:
Forecasting; forecasting bias and efficiency; WEO growth forecast; forecasting bias; Consensus Economics forecast; World Economic Outlook growth; forecast error; Emerging and frontier financial markets; Terms of trade; GDP forecasting; Output gap; Global financial crisis of 2008-2009; Caribbean; Middle East; North Africa; Global; Europe
Cover IMF Working Papers
The Monetary Policy Credibility Channel and the Amplification Effects in a Semi-structural Model
Thitipat Chansriniyom
,
Mr. Natan P. Epstein
, and
Valeriu Nalban
The paper extends a standard semi-structural model to account for nonlinear and asymmetric effects of monetary policy credibility. In our setting, central bank credibility is proportional to the deviation of inflation expectations from the announced inflation target, with positive deviations being more costly compared to negative ones. A loss in policy credibility as a result of shocks leads to a more persistent, backward-looking inflation process, and is associated with lower output. We find that the extended model with credibility effects matches well the key macroeconomic data over specific past episodes for Indonesia and Philippines and consider its adaptation to integrated policy frameworks as an area for further exploration.
Keywords:
WP; inflation expectation; transmission mechanism; MP credibility; high-inflation regime; inflation variability; exchange rate; inflation persistence; inflation target; inflation deviation; inflation development; Inflation; Output gap; Central bank policy rate; Inflation targeting; Price stabilization; Southeast Asia; Monetary policy credibility; Inflation expectations; Indonesia; Philippines; Asia and Pacific