Working Papers
2023
March 10, 2023
Sovereign ESG Bond Issuance: A Guidance Note for Sovereign Debt Managers
Description: This paper aims to provide guidance to issuers of sovereign ESG bonds, with a focus on Emerging Market and Developing Economies (EMDEs). An overview of the ESG financing options available to sovereign issuers is followed by an analysis of the operational requirements and costs that the issuance of sovereign ESG bonds entails. While green bonds are the instruments used to describe the issuance process, the paper also covers alternative instruments, including social and sustainability-linked bonds to provide issuers and other stakeholders with a comprehensive view of the ESG bond marketplace.
March 10, 2023
Who Pays for Your Rewards? Redistribution of the Credit Card Market
Description: We study credit card rewards as an ideal laboratory to quantify redistribution between consumers in retail financial markets. Comparing cards with and without rewards, we find that, regardless of income, sophisticated individuals profit from reward credit cards at the expense of naive consumers. To probe the underlying mechanisms, we exploit bank-initiated account limit increases at the card level and show that reward cards induce more spending, leaving naive consumers with higher unpaid balances. Naive consumers also follow a sub-optimal balance-matching heuristic when repaying their credit cards, incurring higher costs. Banks incentivize the use of reward cards by offering lower interest rates than on comparable cards without rewards. We estimate an aggregate annual redistribution of $15 billion from less to more educated, poorer to richer, and high to low minority areas, widening existing disparities.
March 10, 2023
Sectoral Impact and Propagation of Weather Shocks
Description: Local weather shocks have been shown to affect local economic output, however, little is known about their propagation through production networks. Using a six-sector global dataset over the past fifty years, this paper examines the effect of weather fluctuations and extreme weather events on sectoral economic production and the transmission of weather shocks across sectors, countries and over time. I document that agriculture is the most harmed sector by heat shocks, droughts and cyclones. Using input-output interlinkages, I find that sectors at later stages of the supply chain suffer from substantial and persistent losses over time due to domestic and foreign heat shocks in other sectors. A counterfactual analysis of the average annual output loss accounting for heat shocks across trade partners shows a substantial underestimation of the economic cost of temperature increases since 2000.
March 10, 2023
Heterogeneous Spending, Heterogeneous Multipliers
Description: Do local fiscal multipliers depend on what the government purchases? We find that government purchases of services have larger effects on employment than spending on goods. Industries producing services are more labor-intensive than industries producing goods. This heterogeneity in labor intensity is an important mechanism behind these results. Spending directed toward labor-intensive industries generates stronger increases in employment and labor income relative to spending toward non-labor-intensive industries.
March 10, 2023
Do Capital Controls Limit Inflow Surges?
Description: With rising financial integration, the magnitude and swings in capital flows have increased in the past two decades, intensifying the policy debate on how best to deal with these flows. This paper assesses the use and effectiveness of capital controls in limiting inflow surges. Using a novel dataset on capital control changes across 40 advanced and emerging market and developing economies over 1995-2018, we find that the tightening of capital controls reduces the probability of future surges both at the aggregate and the asset flow levels. The results are robust to various definitions of surges and are stronger when controls are matched to the asset class they target. Finally, we also find significant multilateral spillovers from capital control actions, pointing towards the need for international cooperation in the use of these policies.
March 10, 2023
Deconstructing ESG Scores: How to Invest with your own Criteria?
Description: Environmental, Social, and Governance (ESG) scores are a key tool for asset managers in designing and implementing ESG investment strategies. They, however, amalgamate a broad range of fundamentally different factors, creating ambiguity for investors as to the underlying drivers of higher or lower ESG scores. We explore the feasibility and performance of more targeted investment strategies based on specific ESG categories, by deconstructing ESG scores into their granular components. First, we investigate the characteristics of the various categories underlying ESG scores. Not all types of ESG categories lend themselves to more focused strategies, which is related to both limits to ESG data disclosure and the fundamental challenge of translating qualitative characteristics into quantitative measures. Second, we consider an investment scheme based on the exclusion of firms with the lowest scores in a given category of interest. In most cases, this strategy allows investors to substantially improve the ESG category score, with a marginal impact on financial performance relative to a broad stock market benchmark. The exclusion results in regional and sectoral biases relative to the benchmark, which may be undesirable for some investors.We then implement a “best-in-class” strategy by excluding firms with the lowest category scores and reinvesting the proceeds in firms with the highest scores, maintaining the same regional and sectoral composition. This approach reduces the tracking error of the portfolio and slightly improves its risk-adjusted performance, while still yielding a large gain in the targeted ESG category score.
March 3, 2023
Capital Account Liberalization and Wage Inequality: Evidence from Firm Level Data
Description: Firms play an important role in shaping income inequality at the aggregated country level, given that wages represent a significant proportion of household income. We investigate the distributional consequences of capital account liberalization, relying on firm level data to explore the implications for betweenfirms earning inequality in ASEAN5 countries over the period 1995-2019. We find that between-firms wage dispersion alone, accounts for a nontrivial proportion of the variation in the market Gini. Our empirical findings show that capital account liberalization increases between-firms wage inequality, as wages grow faster at initially high-paying firms and slow-down at firms at the lower portion of the wage distribution. These results are robust to a battery of robustness checks. Further, the directions and categories of capital account liberalization matter as results are pronounced for inflow liberalization and equity capital flows. We also show that capital account liberalization induces an increase in Profit-to-Wage ratios. Furthermore, the impact depends on country characteristics (wage setting institutions, the level of financial development and the size of the informal sector) as well as industry characteristics (export orientation and external finance dependence).
March 3, 2023
2022 Update of the External Balance Assessment Methodology
Description: The assessment of external positions and exchange rates of member countries is a key mandate of the IMF. The External Balance Assessment (EBA) methodology has provided the framework for conducting external sector assessments by Fund staff since its introduction in 2012. This paper provides the latest version of the EBA methodology, updated in 2022 with additional refinements to the current account and real exchange rate regression models, as well as updated estimates for other components of the EBA methodology. The paper also includes an assessment of how estimated current account gaps based on EBA are associated with future external adjustment.
March 3, 2023
Unbearable Costs: When Is Inflation Impeding Job Creation? Evidence from Sub-Saharan Africa
Description: Covid-19 and war-induced commodity price fluctuations, and broadening price pressures have led to a surge in inflation in many sub-Saharan Africa (SSA) countries. To adjust to increasing costs, firms have resorted to several measures including shuttering offices, reducing businesses, laying off, and freezing hiring, thus putting at risk job creation and raising concerns of youth unemployment. This paper explores the effects of inflation on private employment growth in SSA using a large firm -level dataset from the World Bank’s Enterprise Surveys. We find a non-linear relationship between inflation and job creation in SSA, with job creation being negatively correlated with inflation rate when the latter is above 14 percent. This finding holds regardless of the sector of activities of firms and the exchange rate regime. In addition, the paper finds some differential effects based on the type of products. An increase in fuel prices tends to be more detrimental to job creation than food prices. The study also provides evidence that the state of implementation of structural reforms matters. The results show that inflation reduces job opportunities mostly in countries with bad or no structural reforms.
March 3, 2023
Identifying Optimal Indicators and Lag Terms for Nowcasting Models
Description: Many central banks and government agencies use nowcasting techniques to obtain policy relevant information about the business cycle. Existing nowcasting methods, however, have two critical shortcomings for this purpose. First, in contrast to machine-learning models, they do not provide much if any guidance on selecting the best explantory variables (both high- and low-frequency indicators) from the (typically) larger set of variables available to the nowcaster. Second, in addition to the selection of explanatory variables, the order of the autoregression and moving average terms to use in the baseline nowcasting regression is often set arbitrarily. This paper proposes a simple procedure that simultaneously selects the optimal indicators and ARIMA(p,q) terms for the baseline nowcasting regression. The proposed AS-ARIMAX (Adjusted Stepwise Autoregressive Moving Average methods with exogenous variables) approach significantly reduces out-of-sample root mean square error for nowcasts of real GDP of six countries, including India, Argentina, Australia, South Africa, the United Kingdom, and the United States.