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Measuring Global and Country-Specific Uncertainty
Motivated by the literature on the capital asset pricing model, we decompose the uncertainty of a typical forecaster into common and idiosyncratic uncertainty. Using individual survey data from the Consensus Forecasts over the period of 1989-2014, we develop monthly measures of macroeconomic uncertainty covering 45 countries and construct a measure of global uncertainty as the weighted average of country-specific uncertainties. Our measure captures perceived uncertainty of market participants and derives from two components that are shown to exhibit strikingly different behavior. Common uncertainty shocks produce the large and persistent negative response in real economic activity, whereas the contributions of idiosyncratic uncertainty shocks are negligible.
Firms’ Resilience to Energy Shocks and Response to Fiscal Incentives: Assessing the Impact of 2022 Energy Crisis
The energy price shock in 2022 led to government support for firms in some countries, sparking debate about the rationale and the nature of such support. The results from nationally representative firm surveys in the United States and Germany indicate that firms in these countries were generally resilient. Coping strategies adopted by firms included the pass-through of higher costs to consumers, adjustment of profit margins (United States) and investments in energy saving and efficiency (Germany). Firms in energy-intensive industries would have been significantly more affected if international energy prices were fully passed through to domestic prices in Europe. Survey responses further reveal that most firms are uncertain about the impact of recent policy announcments on green subsidies. Firms take advantage of fiscal incentives to accelerate their climate-related investment plans are often those that have previous plans to do so. These findings suggest better targeting and enhancing policy certainty will be important when facilitate the green transition among firms.
Learning and Heterogeneity in GDP and Inflation Forecasts
We estimate a Bayesian learning model with heterogeneity aimed at explaining the evolution of expert disagreement in forecasting real GDP growth and inflation over 24 monthly horizons for G7 countries during 1990-2007. Professional forecasters are found to begin and have relatively more success in predicting inflation than real GDP at significantly longer horizons; forecasts for real GDP contain little information beyond 6 quarters, but forecasts for inflation have predictive value beyond 24 months and even 36 months for some countries. Forecast disagreement arises from two primary sources in our model: differences in the initial prior beliefs of experts, and differences in the interpretation of new public information. Estimated model parameters, together with two separate case studies on (i) the dynamics of forecast disagreement in the aftermath of the 9/11 terrorist attack in the U.S. and (ii) the successful inflation targeting experience in Italy after 1997, firmly establish the importance of these two pathways to expert disagreement.
Cross-Country Evidence on the Revenue Impact of Tax Reforms
Many countries face the challenge of raising additional tax revenues without hurting economic growth. Comprehensive, cross-country information on the revenue impact of tax policy changes can thus support informed decision-making on viable reforms. We assess the likely revenue impact of various tax policy changes based on a sample of 21 advanced and emerging market economies, using granular information from the IMF Tax Policy Reform Database v.4.0. Our findings suggest that the revenue yield of a tax policy change varies significantly depending on the tax instrument adopted (e.g., VAT or personal income tax) and the nature of the change (i.e., rate, base). For example, in our sample, base-bro...
Stock Prices and Economic Activity in the Time of Coronavirus
Stock prices and workplace mobility trace out striking clockwise paths in daily data from mid-February to late May 2020. Global stock prices fell 30 percent from 17 February to 12 March, before mobility declined. Over the next 11 days, stocks fell another 10 percentage points as mobility dropped 40 percent. From 23 March to 9 April, stocks recovered half their losses and mobility fell further. From 9 April to late May, both stocks and mobility rose modestly. This dynamic plays out across the 35 countries in our sample, with notable departures in China, South Korea, and Taiwan. The size of the global stock market crash in reaction to the pandemic is many times larger than a standard asset-pricing model implies. Looking more closely at the world's two largest economies, the pandemic had greater effects on stock market levels and volatilities in the U.S. than in China even before it became evident that early U.S. containment efforts would flounder. Newspaper-based narrative evidence confirms the dominant - and historically unprecedented - role of pandemic-related developments in the stock market behavior of both countries.
Labor Markets, Fiscal Policy and Inflation Dynamics
In the early months of the COVID-19 pandemic, inflation fell. Later, as the pandemic wore on, inflation has risen sharply, reaching a 40-year high. To explain the dynamics of inflation, we augment the standard labor search and matching model with a shock that affects the demand side of the economy and matching in the labor market. We illustrate that the inflation rate is strongly tied to the behavior of vacancies and labor market tightness. This pattern is observed in European countries too. In addition, downward nominal wage rigidity plays a role in explaining the behavior of wage inflation and, consequently, price inflation. Fiscal policy improves the performance of the model, but it cannot sufficiently replicate the behavior of inflation to the same extent that frictions in the matching process do.
Stock Prices, Lockdowns, and Economic Activity in the Time of Coronavirus
Stock prices and workplace mobility trace out striking clockwise paths in daily data from mid-February to late May 2020. Global stock prices fell 30 percent from 17 February to 12 March, before mobility declined. Over the next 11 days, stocks fell another 10 percentage points as mobility dropped 40 percent. From 23 March to 9 April, stocks recovered half their losses and mobility fell further. From 9 April to late May, both stocks and mobility rose modestly. This dynamic plays out across the 35 countries in our sample, with a few notable exceptions. We also find that stricter lockdown policies, both in-country and globally, drove larger declines in national stock prices conditional on pandem...
Alternative Economic Indicators
Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.
A Comprehensive Macroeconomic Uncertainty Measure for the Euro Area and Its Implications to COVID-19
This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is constructed as the conditional volatility of the unforecastable components of a large set of time series, accounting for the monetary union as well as cross-country heterogeneity. MEU exhibits the largest spike at the time of the COVID-19 outbreak and is noticeably different from other more financial-oriented and policy-driven uncertainty measures. It also reveals a significant increase in inflation uncertainty in 2021-2022. Our BVAR-based analysis shows that an unexpected increase in the MEU has a negative and persistent impact on euro area's industrial production, accounting for 80 percent of its reduction during the first wave of COVID-19, therefore supporting the interpretation of COVID-19 shock as a macroeconomic uncertainty shock. Public debt increases in response to this uncertainty shock. Finally, an increase in MEU negatively affects Emerging Europe countries, contributing the most to the decline in their economic activity during this COVID-19 period.
