Working Papers
2021
May 27, 2021
The Impact of Gray-Listing on Capital Flows: An Analysis Using Machine Learning
Description: The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT regimes (i.e., in their policies to prevent money laundering and the financing of terrorism). How much gray-listing affects a country’s capital flows is of interest to policy makers, investors, and the Fund. This paper estimates the magnitude of the effect using an inferential machine learning technique. It finds that gray-listing results in a large and statistically significant reduction in capital inflows.
May 27, 2021
Restructuring and Insolvency in Europe: Policy Options in the Implementation of the EU Directive
Description: The Directive on Restructuring and Insolvency sets minimum standards for restructuring and certain insolvency matters, but its harmonization effect will be limited given multiple options for implementation, likely leading to divergent restructuring models in Europe. These options reveal different policy approaches to the regulation of restructuring and insolvency. The analysis in this paper aims to illustrate the breadth of the policy choices and their consequences for restructuring activity. States should carefully design restructuring procedures to avoid the negative economic effects of certain options that could undermine creditors’ rights or result in unpredictable outcomes, particularly in cross-border cases.
May 27, 2021
Do Lenders Make Less-Informed Investments in High-Growth Housing Markets?
Description: Nonlocal mortgage lenders with greater exposure to high-growth housing markets accept fewer loan applications in these markets and experience greater stock return volatility. When these lenders expand to high-growth markets, they also ration credit to a significantly greater degree than when they ex-pand to other markets. Mean-variance analyses show that nonlocal lenders’ exposure to high-growth markets is associated with more risk, more efficiency, and more return on mortgage portfolios. Overall, these results imply that expansion to high-growth markets leads to a decline in screening and riskier investment by nonlocal lenders, which may reflect a risk–return tradeoff in their portfolio strategy.
May 27, 2021
Predicting Fiscal Crises: A Machine Learning Approach
Description: In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random forest, gradient boosted trees) deliver significant improvements in accuracy. Performance of machine learning techniques improves further, particularly for developing countries, when I expand the set of potential predictors and make use of algorithmic selection techniques instead of relying on a small set of variables deemed important by the literature. There is considerable agreement across learning algorithms in the set of selected predictors: Results confirm the importance of external sector stock and flow variables found in the literature but also point to demographics and the quality of governance as important predictors of fiscal crises. Fiscal variables appear to have less predictive value, and public debt matters only to the extent that it is owed to external creditors.
May 27, 2021
When They Go Low, We Go High? Measuring Bank Market Power in a Low-for-Long Environment
Description: We examine trends in bank competition since the early 2000s. The Lerner index—arguably the most commonly used measure—shows evidence of a marked increase in market power in advanced economies, especially after the global financial crisis. But other frequently used indicators of banking sector competition seem much more muted. We show that the significant drop in policy rates that occurred in the aftermath of the crisis could explain the seeming disconnect. Adjusting the Lerner index for the impact of policy rates reveals that market power has been fairly constant in advanced economies—consistent with the other signals and similar to the pattern observed in emerging markets.
May 27, 2021
Chile: A Role Model of Export Diversification Policies?
Description: Largely because of its vast copper reserves, Chile’s exports are highly concentrated on this low complexity product and this is often cited as a major drawback of its economic policy framework. However, its exogenous copper abundance conceals the country’s success in developing non-mineral and complex exports. This achievement is remarkable considering its remoteness from the large international economic centers, which limits its integration to global value chains. As suggested in this paper, this accomplishment reflects Chile’s strength in policy areas that foster non-mineral exports (including complex exports), making the country a role model in export diversification and complexity policies among emerging market countries.
May 26, 2021
Climate Action to Unlock the Inclusive Growth Story of the 21st Century
Description: Climate change is a major threat to the sustainability and inclusiveness of our societies, and to the planet’s habitability. A just transition to a low-carbon economy is the only viable way forward. This paper reviews the climate change challenge. It stresses the criticality of systems changes (energy, transport, urban, land use, water) in a climate-challenged world, and the importance of infrastructure investment geared toward such systems changes. The key policies to enable the transition are: public spending on and investment frameworks for sustainable infrastructure, pricing carbon, regulations, promoting sustainable use of natural resources, scaling up and aligning finance with climate objectives, low-carbon industrial and innovation policies, building resilience and adaptation, better measurement of well-being and sustainability, and providing information and education on climate risks. Implemented well, climate action would unlock the inclusive growth story of the 21st century, making our societies more sustainable, inclusive, and prosperous.
May 26, 2021
IMF Programs and Financial Flows to Offshore Centers
Description: This paper examines whether IMF lending is associated with increases in outflows to offshore financial centers (OFCs), known for bank secrecy and asset protection, relative to other international destinations. Using quarterly data from the BIS on bilateral bank deposits, we are unable to detect any positive and statistically significant effect of IMF loan disbursements on bank deposits in OFCs. The result holds even after restricting the sample to the duration of the IMF program, where disbursement quarters and non-disbursement quarters should be subject to similar degrees of macroeconomic stress. It is also robust to using the scheduled tranche of disbursements as an instrument for actual disbursements. While the effects vary by the type and conditionality of the IMF program, as well as the amount of lending, none of the effects are found to be positive and statistically significant. We also estimate whether the recent surge in emergency lending, during the Covid-19 crisis, is associated with an increase in outflows to OFCs but find no evidence to support this.
May 20, 2021
Scenario Analysis with the DD-PD Mapping Approach: Stock Market Shocks and U.S. Corporate Default Risk
Description: This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative and narrative scenarios informed by expert judgment. At end-2020, risks from stock market corrections in the U.S. are concentrated in the energy, financial and technology sectors, and additional bank capital needs could be large. The paper concludes discussing uses of the mapping beyond PD valuation suitable for capital structure analysis, credit portfolio management, and long-term scenario planning analysis.
May 20, 2021
Labor Market Reforms and Earnings Dynamics: the Italian Case
Description: This paper summarizes statistics on the key aspects of the distribution of earnings levels and earnings changes using administrative (social security) data from Italy between 1985 and 2016. During the time covered by our data, earnings inequality and earnings volatility increased, while earnings mobility did not change significantly. We connect these trends with some salient facts about the Italian labor market, in particular the labor market reforms of the 1990s and 2000s which induced a substantial rise in fixedterm and part-time employment. The rise in parttime work explains much of the rise in earnings inequality, while the rise in fixed-term contracts explains much of the rise in volatility. Both these trends affect the earnings distribution through hours worked: part-time jobs reduce hours worked within a week, while fixed-term contracts reduce the number of weeks worked during the year as well as increase their volatility. We find weak evidence that fixed-term contracts represent a "stepping-stone" to permanent employment. Finally, we offer suggestive evidence that the labor market reforms contributed to the slowdown in labor productivity in Italy by delaying human capital accumulation (in the form of general and firm-specific experience) of recent cohorts.