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Panel Nowcasting for Countries Whose Quarterly GDPs are Unavailable
Quarterly GDP statistics facilitate timely economic assessment, but the availability of such data are limited for more than 60 developing economies, including about 20 countries in sub-Saharan Africa as well as more than two-thirds of fragile and conflict-affected states. To address this limited data availablity, this paper proposes a panel approach that utilizes a statistical relationship estimated from countries where data are available, to estimate quarterly GDP statistics for countries that do not publish such statistics by leveraging the indicators readily available for many countries. This framework demonstrates potential, especially when applied for similar country groups, and could provide valuable real-time insights into economic conditions supported by empirical evidence.
Illuminating Economic Growth
This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on the country’s statistical capacity and the relationship between nighttime lights and true GDP per capita can be nonlinear and vary with geographic location. This paper uses recently developed results for measurement error models to identify and estimate the nonlinear relationship between nighttime lights and true GDP per capita and the nonparametric distribution of errors in official GDP per capita data. We then construct more precise and robust measures of GDP per capita using nighttime lights, official national accounts data, statistical capacity, and geographic locations. We find that GDP per capita measures are less precise for middle and low income countries and nighttime lights can play a bigger role in improving such measures.
Measuring Quarterly Economic Growth from Outer Space
This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for emerging markets and developing economies, ranging from 1.36 to 1.81 across country groups and robust to different model specifications. The paper uses a light-adjusted measure of quarterly economic activity to show that higher levels of development, statistical capacity, and voice and accountability are associated with more precise national accounts data. The elasticity allows quantification of subnational economic impacts. During the COVID-19 pandemic, regions with higher levels of development and population density experienced larger declines in economic activity.
Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning framework that helps track economic activity in real time for these economies. As illustrative examples, the framework is applied to selected sub-Saharan African economies. The framework is able to provide timely information on economic activity more swiftly than official statistics.
Geoeconomic Fragmentation: What’s at Stake for the EU
Geoeconomic fragmentation (GEF) is becoming entrenched worldwide, and the European Union (EU) is not immune to its effects. This paper takes stock of GEF policies impinging on—and adopted by—the EU and considers how exposed the EU is through trade, financial and technological channels. Motivated by current policies adopted by other countries, the paper then simulates how various measures—raising costs of trade and technology transfer and fossil fuel prices, and imposition of sectoral subsidies—would affect the EU economy. Due to its high-degree of openness, the EU is found to be exposed to GEF through multiple channels, with simulated losses that differ significantly across scenarios. From a welfare perspective, this suggests the need for a cautious approach to GEF policies. The EU’s best defence against GEF is to strengthen the Single Market while advocating for a multilateral rules-based trading system.
Unveiling the Informal Economy: An Augmented Factor Model Approach
This paper develops a new approach to estimating the degree of informality in an economy. It combines direct yet infrequent measures of the informal economy in micro data with an augmented factor model that links macro indicators of the informal economy to its causes. We show that the prevailing model used in the literature, the multiple indicators multiple causes model, is a special case of the augmented factor model and depicts an incomplete picture of the informal economy. Using the augmented factor model approach, we show that the dynamics of the informal economy is shaped by the strength of overall economic activity as well as the interplay between the formal and informal economies. Contrary to previous work that typically finds declining informality for most countries, we find that the degree of informality has increased for low-income countries for the past two decades.
Recent Trends of Informality in Greece
This paper explores the evolution of informality in Greece as it is widely considered one of the major structural impediments to fiscal capacity and sustainable growth. It finds that informality has dropped significantly in Greece in recent years, although there were temporary increases during the sovereign debt crisis and the COVID-19 pandemic. Lower informality is also found to be associated with higher subsequent per capita GDP growth and higher tax revenue. Moreover, Greece’s significant recent progress in digitalization appears to have helped reduce informality. There remains scope to further reduce informality by accelerating digitalization and the ongoing pro-growth structural reforms.
Oil Prices and the Global Economy
This paper presents a simple macroeconomic model of the oil market. The model incorporates features of oil supply such as depletion, endogenous oil exploration and extraction, as well as features of oil demand such as the secular increase in demand from emerging-market economies, usage efficiency, and endogenous demand responses. The model provides, inter alia, a useful analytical framework to explore the effects of: a change in world GDP growth; a change in the efficiency of oil usage; and a change in the supply of oil. Notwithstanding that shale oil production today is more responsive to prices than conventional oil, our analysis suggests that an era of prolonged low oil prices is likely to be followed by a period where oil prices overshoot their long-term upward trend.
A Central Fiscal Stabilization Capacity for the Euro Area
This note outlines a concrete proposal for a euro area CFC that could help smooth both country-specific and common shocks. Specifically, it proposes a macroeconomic stabilization fund financed by annual contributions from countries used to build up assets in good times and make transfers to countries in bad times, as well as a borrowing capacity in case large or persistent shocks exhaust the fund’s assets. The note also discusses several features aimed at avoiding permanent transfers between countries and making the CFC function as automatically as possible—to limit the scope for disputes over its operation—both of which are important points to make it politically acceptable.
Fiscal Impacts of Climate Disasters in Emerging Markets and Developing Economies
Climate-induced disasters are causing increasingly frequent and intense economic damages, disproportionally affecting emerging markets and developing economies (EMDEs) relative to advanced economies (AEs). However, the impact of various types of climate shocks on output growth and fiscal positions of EMDEs is not fully understood. This research analyzes the macro-fiscal implications of three common climate disasters (droughts, storms, and floods) using a combination of macroeconomic data and comprehensive ground and satellite disaster indicators spanning the past three decades across 164 countries. Across EMDEs, where agriculture tends to be the principal sector, a drought reduces output gro...
