Working Papers
2022
June 17, 2022
Policy Space Index: Short-Term Response to a Catastrophic Event
Description: What policy space does a country have for a short-term response to a catastrophic event? To quantify this space, the paper proposes a policy space index. The index combines a quantitative, albeit relatively limited and narrow, fiscal space concept with the indicators of nominal monetary space and reserve space. Each nominal policy space indicator is then adjusted for individual country’s institutional features, such as the status of its currency, income group, access to capital markets, debt distress level, and the exchange rate regime. The final policy space index is derived as a composite of the three nominal policy space indicators, each adjusted for five institutional features. This index is different from the approach to measure fiscal space at the IMF and requires more work before it can be used operationally. The proposed index allows measuring the overall policy space in each country directly in percent of GDP. By way of illustration, the paper applies the index to the Covid-19 crisis.
June 17, 2022
Sovereign Debt
Description: This paper surveys the literature on sovereign debt from the perspective of understanding how sovereign debt differs from privately issue debt, and why sovereign debt is deemed safe in some countries but risky in others. The answers relate to the unique power of the sovereign. One the one hand, a sovereign has the power to tax, making debt relatively safe; on the other, it also has control over its territory and most of its assets, making debt enforcement difficult. The paper discusses debt contracts and the sovereign debt market, sovereign debt restructurings, and the empirical and theoretical literatures on the costs and causes of defaults. It describes the adverse impact of sovereign default risk on the issuing countries and what explains this impact. The survey concludes with a discussion of policy options to reduce sovereign risk, including fiscal frameworks that act as commitment devices, state-contingent debt, and independent and credible monetary policy.
June 10, 2022
The Ararat Fiscal Strategy Model: A Structural Framework for Fiscal Policy Analysis in Armenia
Description: This paper presents an overview of the Ararat Fiscal Strategy Model (AFSM), which is a structural, New-Keynesian, DSGE, small open economy model with a rich fiscal block that includes several expenditure and revenue instruments, and types of debt. The AFSM is now a formal part of the Ministry of Finance analytical toolkit to do macroeconomic fiscal policy scenario analysis, which feeds into policy discussions, budget planning, and the Medium-Term Expenditure Framework. The model was applied to assses the macroeconomic impact of the “first wave” of the Covid-19 pandemic on the Armenian economy, including the mitigating effects of policy responses. AFSM simulations revealed a potential severe impact in 2020, with declines in GDP and consumption of 12.9 and 11.7 percent, respectively, and a cumulative loss of GDP of 38 percent for the period 2020-2023. They also highlighted a significant fiscal outlook deterioration that would increase public debt-to-GDP ratios by 18.8 percentage points over 2020-23. The package of counter-cyclical fiscal measures of 3.6 percent of GDP, however, was estimated to cushion the 2020 GDP decline by almost 2 percentage points, as well as protect jobs. A second AFSM application related to the 2018 public investment under-execution showed the importance of improving the efficiency of public investment to have positive macroeconomic and fiscal effects.
June 10, 2022
A New Claims-Based Unemployment Dataset: Application to Postwar Recoveries Across U.S. States
Description: Using newly digitized unemployment insurance claims data we construct a historical monthly unemployment series for U.S. states going back to January 1947. The constructed series are highly correlated with the Bureau of Labor Statics' state-level unemployment data, which are only available from January 1976 onwards, and capture consistent patterns in the business cycle. We use our claims-based unemployment series to examine the evolving pace of post-war unemployment recoveries at the state level. We find that faster recoveries are associated with greater heterogeneity in the recovery rate of unemployment and slower recoveries tend to be more uniformly paced across states. In addition, we find that the pace of unemployment recoveries is strongly correlated with a states' manufacturing share of output.
June 10, 2022
The Distributional Impact of a Carbon Tax in Asia and the Pacific
Description: While a carbon tax is widely acknowledged as an efficient policy to mitigate climate change, adoption has lagged. Part of the challenge resides in the distributional implications of a carbon tax and a belief that it tends to be regressive. Even when not regressive, poor households could be hurt by a carbon tax, particularly in countries that rely heavily on carbon-intensive energy sources. Using household surveys, we study how a carbon tax may affect households in the Asia Pacific region, the main source of CO2 emissions. We document a wide range of country-specific policies that could be implemented to compensate households, reduce inequality, and build support for adoption.
June 3, 2022
The International Diffusion of Policies for Climate Change Mitigation
Description: In this paper, we study the international diffusion of carbon pricing policies. In the first part, we empirically examine to what extent the adoption of carbon pricing in a given country can explain the subsequent adoption of the same policy in other countries. In the second part, we quantify the global benefits of policy diffusion in terms of greenhouse gas emission reductions elsewhere. To do so, we combine a large international dataset on carbon pricing with several other datasets. For causal identification, we estimate semi-parametric Cox proportional hazard models. We find robust and statistically significant evidence for policy diffusion.
June 3, 2022
Quantitative Easing and Credit Rating Agencies
Description: This paper investigates the behaviour of credit rating agencies using a natural experiment in monetary policy. We exploit the corporate QE of the Eurosystem and its rating-based specific design which generates exogenous variation in the probability for a bond of becoming eligible for outright purchases. We show that after the launch of the policy, rating activity was concentrated precisely on the territory where the incentives of market participants are expected to be more sensitive to the policy design. Our findings contribute to better assessing the consequences of the explicit reliance on CRAs ratings by central banks when designing monetary policy. They also support the Covid-19 monetary stimulus, and in particular the waiver of private credit rating eligibility requirements applied to recently downgraded issuers.
June 3, 2022
Fiscal Decentralization Improves Social Outcomes When Countries Have Good Governance
Description: Does fiscal decentralization improve health and educational outcomes? Does this improvement depend on the quality of governance? How do fiscal decentralization and governance interact? We answer these questions through an instrumental variable Tobit analysis of cross-country panel data. We find negative effects of fiscal decentralization on health outcomes, which however are more than offset by better governance. Education expenditure decentralization to subnational governments enhances educational outcomes. We conclude that countries can only reap the benefits from decentralization when the quality of their governance arrangements exceeds a certain threshold. We also find that sequencing and staging of decentralization matter. Countries should improve government effectiveness and control of corruption first to maximize benefits of fiscal decentralization.
June 3, 2022
Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities
Description: Forecasting a macroframework, which consists of many macroeconomic variables and accounting identities, is widely conducted in the policy arena to present an economic narrative and check its consistency. Such forecasting, however, is challenging because forecasters should extend limited information to the entire macroframework in an internally consistent manner. This paper proposes a method to systematically forecast macroframework by integrating (1) conditional forecasting with machine-learning techniques and (2) forecast reconciliation of hierarchical time series. We apply our method to an advanced economy and a tourism-dependent economy using France and Seychelles and show that it can improve the WEO forecast.
June 3, 2022
Measuring Quarterly Economic Growth from Outer Space
Description: 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.