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Business and Economics > Production and Operations Management

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Cover IMF Working Papers
Europe’s Shift to EVs Amid Intensifying Global Competition
Philippe Wingender
,
Jiaxiong Yao
,
Robert Zymek
,
Benjamin Carton
,
Diego A. Cerdeiro
, and
Anke Weber
European countries have set ambitious goals to reduce their carbon emissions. These goals include a transition to electric vehicles (EVs)—a sector that China increasingly dominates globally—which could reduce the demand for Europe’s large and interconnected auto sector. This paper aims to size up the tradeoffs between Europe’s shift towards EVs and key macroeconomic outcomes, and analyze which policies may sharpen or ease them. Using state-of-the-art macroeconomic and trade models we analyze a scenario in which the share of Chinese cars in EU purchases rises by 15 percent over 5 years as a result of both a positive productivity shock for car production in China and a demand shock that shifts consumer preferences towards Chinese cars (given China’s dominance in the EV sector). We find that for the EU as a whole, the GDP cost of this shift is small in the short term, in the range of 0.2-0.3 percent of GDP, and close to zero over the long term. Adverse short-run effects are more significant for smaller economies heavily reliant on the car sector, mainly in Central Europe. Protectionist policies, such as tariffs on Chinese EVs, would raise the GDP cost of the EV transition. A further increase in Chinese FDI inflows that results in a significant share of Chinese EVs being produced in Central European economies, on the other hand, would offset losses in these economies by supporting their shift from supplying the internal combustion engine (ICE) production chain to that of EVs.
Keywords:
Electric vehicles; green transition; trade; tariffs; global value chains.; protectionist policy response; GDP cost; EV share; Europe's shift; shift to electric vehicles; Foreign direct investment; Productivity; Imports; Europe; 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 World Economic Outlook, April 2024
World Economic Outlook, April 2024
Steady but Slow: Resilience amid Divergence
International Monetary Fund. Research Dept.

Abstract

The latest World Economic Outlook reports economic activity was surprisingly resilient through the global disinflation of 2022–23, despite significant central bank interest rate hikes to restore price stability. Risks to the global outlook are now broadly balanced compared with last year. Monetary policy should ensure that inflation touches down smoothly, while a renewed focus on fiscal consolidation is needed to rebuild room for budgetary maneuver and to ensure debt sustainability. Structural reforms are crucial to revive medium-term growth prospects amid constrained policy space.

Keywords:
global growth; inflation; economic projection; monetary policy; housing markets; medium-term growth; spillovers; advanced economy; monetary policy transmission; housing channel; housing market characteristic; economy-sector pair; middle-income economy; IMF staff calculation; Emerging and frontier financial markets; Housing prices; Mortgages; Total factor productivity; Global; Caribbean; Middle East and Central Asia; Europe; Central America; inflation expectation; interest rate hike; debt restructuring processes; commodity market development; Sub-Saharan Africa
Cover IMF Working Papers
Geoeconomic Fragmentation and International Diversification Benefits
Tatsushi Okuda
and
Tomohiro Tsuruga
This paper applies the two-country open-economy model with trade in stocks and bonds of Coeurdacier et al. (2010) to quantify the loss of international diversification benefits for major advanced economies, which have a significant presence in international financial markets, under geoeconomic fragmentation. We perform counterfactual simulations under different hypothetical fragmentation scenarios in which these economies are unable to trade with geopolitically distant countries, as measured by voting disagreement on foreign policy issues at the United Nations General Assembly meetings during 2012-2021. The simulation results imply a potentially significant loss of international diversification benefits of financial openness for the considered advanced economies by limiting trading to partner countries that are geopolitical allies with highly synchronized business cycles.
Keywords:
Geopolitical risk; financial integration; international risk sharing; diversification benefit; output volatility; volatility of Macro-Financial Variables; simulation result; investment efficiency process; Total factor productivity; Business cycles; Consumption; International capital markets; Output gap; Global
Cover IMF Working Papers
The Consequences of Falling Behind the Curve: Inflation Shocks and Policy Delays Under Rational and Behavioral Expectations
Mai Hakamada
and
Carl E. Walsh
Central banks in major industrialized economies were slow to react to the surge in inflation that began in early 2021. The proximate causes of this surge were the supply chain disruptions associated with the easing of COVID restrictions, fiscal policies designed to cushion the economic impact of COVID, and the impact on commodity prices and supply chains of the war in Ukraine. We investigate the consequences of policy delay in responding to inflation shocks. First, using a simple three-period model, we show how policy delay worsens inflation outcomes, but can mitigate or even reverse the output decline that occurs when policy responds without delay. Then, using a calibrated new Keynesian framework and two measures of loss that incorporate a “balanced approach” to weigh inflation and the output gap, we find that loss is monotonically increasing in the length of the delay. Loss is reduced if policy, when it does react, is more aggressive. To investigate whether these results are sensitive to the assumption of rational expectations, we consider cognitive discounting as an alternative assumption about expectations. With cognitive discounting, forward guidance is less powerful and results in a reduction in the costs of delay. Under either assumption about expectations, the costs of a short delay can be eliminated by adopting a less inertial policy rule and a more aggressive response to inflation.
Keywords:
monetary policy; inflation policy delay; behavioral expectations; falling behind the curve; Policy delay; inflation outcome; inflation shock; supply chain disruption; trend inflation; Inflation; Output gap; Rational expectations; Central bank policy rate; Real interest rates
Cover IMF Working Papers
Demand vs. Supply Decomposition of Inflation: Cross-Country Evidence with Applications
Melih Firat
and
Otso Hao
What are the contributions of demand and supply factors to inflation? To address this question, we follow Shapiro (2022) and construct quarterly demand-driven and supply-driven inflation series for 32 countries utilizing sectoral Personal Consumption Expenditures (PCE) data. We highlight global trends and country-specific differences in inflation decompositions during critical periods such as the great financial crisis of 2008 and the recent inflation surge since 2021. Validating our inflation series, we find that supply-driven inflation is more reactive to oil shocks and supply chain pressures, while demand-driven inflation displays a more pronounced response to monetary policy shocks. Our results also suggest a steeper Phillips curve when inflation is demand-driven, holding significant implications for effective policy design.
Keywords:
Inflation decomposition; demand vs supply; Phillips curve; monetary policy; supply chain pressures; supply decomposition of inflation; demand-driven inflation; supply-driven inflation; decomposition analysis; inflation decomposition methodology; Inflation; Supply shocks; Oil production; Output gap; Oil prices; Global; Asia and Pacific; Europe
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 Technical Notes and Manuals
User Manual for the DIGNAD Toolkit
Mr. Zamid Aligishiev
,
Cian Ruane
, and
Azar Sultanov
This note is a user’s manual for the DIGNAD toolkit, an application aimed at facilitating the use of the DIGNAD model (Debt-Investment-Growth and Natural Disasters) by economists with no to little knowledge of MATLAB and Dynare via a user-friendly Excel-based interface. DIGNAD is a dynamic general equilibrium model of a small open economy developed at the International Monetary Fund. The model can help economists and policymakers with quantitative assessments and policy scenario analysis of the macrofiscal effects of natural disasters and adaptation infrastructure investments in low-income developing countries and emerging markets. DIGNAD is tailored to disaster-prone countries, which typically are small countries or low-income countries that are particularly exposed to large climate shocks—countries where shocks that can disrupt the entire economy are frequent. However, DIGNAD can be relevant also for larger countries that may potentially be exposed to extreme climatic disasters in the future.
Keywords:
natural disasters; adaptation; resilient infrastructure; public investment; public investment efficiency; debt sustainability; DIGNAD toolkit; IMF copyright; DIGNAD model; GNU General Public License; third-party software; Infrastructure; Public investment spending; Total factor productivity; Depreciation; Sub-Saharan Africa
Cover IMF Working Papers
Too Low for Too Long: Could Extended Periods of Ultra Easy Monetary Policy Have Harmful Effects?
Mr. Etibar Jafarov
and
Enrico Minnella
Extended periods of ultra-easy monetary policy in advanced economies have rekindled debates about the zombification of weak companies and its impact on resource allocation, economic growth, inflation, and financial stability. Using both firm-level and macroeconomic data, we find that recessions are a critical factor in the rapid increase in the number of zombie firms. Expansionary monetary policy can help reduce zombification when interest rates are at the zero lower bound (ZBL), but a too-accommodative monetary policy for extended periods is associated with a higher probability of zombification. Small and medium enterprises are more likely to become zombie firms. This raises concerns about the sustainability of too-easy monetary policy implementation, especially in countries where growth is lackluster. Our findings imply a tradeoff between conducting a countercyclical monetary policy, which also helps contain the increase in the number of zombie firms in cyclical downturns, and using an expansionary monetary policy for long periods, which may lead to a combination of low interest rates, low growth, and high financial vulnerability. Such a tradeoff is not a concern currently when most countries are tightening their monetary policy stance, but policymakers should be mindful of it during future recessions.
Keywords:
Too Low for Too Long; Zombie Firms; Financial Stability; zombie firm; countercyclical monetary policy; monetary policy stance; sectoral zombie share; share of zombie; Economic recession; Output gap; Global financial crisis of 2008-2009; Monetary expansion; Unconventional monetary policies; Global
Cover Selected Issues Papers
A New Growth Engine for Japan: Women in STEM Fields; Japan
Rui Xu
Despite recent improvements in female labor force participation, women remain underrepresented in STEM fields in Japan. Given the close link between STEM workers and innovation, encouraging women to pursue STEM careers could boost growth potential. Using a calibrated endogenous growth model with STEM talent, this paper quantifies the potential gains from eliminating barriers to STEM fields among women. The findings suggest that bridging the gender gap in STEM fields can boost TFP growth by 20 percent and consumption-equivalent welfare by 4 percent in Japan.
Keywords:
STEM workers; women; endogenous growth; heterogenous talent; innovation; TFP growth; consumption-equivalent welfare; Japan; STEM field; STEM career; STEM worker; Gender inequality; Labor markets; Gender diversity; Total factor productivity