Working Papers

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2019

May 17, 2019

Government Wage Bill Management and Civil Service Reform in the Eastern Caribbean Currency Union

Description: In this study, we assess the size of the government wage bill and employment in the member countries of the Eastern Caribbean Currency Union and their implications for fiscal sustainability and the adequacy of public service delivery. Over the period 2005 to 2015 their wage bill (as a percentage of GDP, government revenues and expenditures) is higher than in other small states notwithstanding recent efforts by governments to make it more manageable. The composition and distribution of employment is sub-optimal and is reflected in skills mismatches contributing to inefficiencies in public service delivery. Using a dynamic fixed-effects panel, we find that wage bill growth reflects the expansion of government activities to speed up economic and social development and that wage bill spending is procyclical in good times but is rigid during downturns. Finally, we identify the main institutional and legal reforms needed to improve wage bill management and public service efficiency.

May 17, 2019

FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk

Description: Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.

May 17, 2019

Rethinking Fiscal Policy in Oil-Exporting Countries

Description: We examine the existing fiscal policy paradigm in commodity-exporting countries. First, we argue that its centerpiece—the permanent income hypothesis (PIH)—is not consistent with either intergenerational equity or long-term sustainability in the presence of uncertainty. Policies to achieve these goals need to be more prudent and better anchored than the PIH. Second, we point out the presence of a volatility tradeoff between government spending and wealth and re-assess long-held views on the appropriate fiscal anchors, the vice of procyclicality, and the (im)possibility of simultaneously smoothing consumption and ensuring intergenerational equity and sustainability. Finally, we propose what we call a prudent wealth stabilization policy that would be more consistent with long-term fiscal policy goals, yet relatively simple to implement and communicate.

May 17, 2019

Credit Supply and Productivity Growth

Description: We study the impact of bank credit on firm productivity. We exploit a matched firm-bank database covering all the credit relationships of Italian corporations, together with a natural experiment, to measure idiosyncratic supply-side shocks to credit availability and to estimate a production model augmented with financial frictions. We find that a contraction in credit supply causes a reduction of firm TFP growth and also harms IT-adoption, innovation, exporting, and adoption of superior management practices, while a credit expansion has limited impact. Quantitatively, the credit contraction between 2007 and 2009 accounts for about a quarter of observed the decline in TFP.

May 10, 2019

Understanding Export Diversification: Key Drivers and Policy Implications

Description: We identify key factors, from large set of potential determinants, that explain the variation in export diversification across countries and over time using Bayesian Model Averaging (BMA), which addresses model uncertainty and ranks factors in order of importance vis-a-vis their explanatory power. Our analysis suggests, in order to diversify, policy makers should prioritize human capital accumulation and reduce barriers to trade. Other policy areas include improving quality of institutions and developing the financial sector. For commodity exporters reducing barriers to trade is the most important driver of diversification, followed by improving education outcomes at the secondary level and financial sector development.

May 10, 2019

Case Studies in Tax Revenue Mobilization in Low-Income Countries

Description: How can Low-Income Countries (LICs) enhance tax revenue collection to finance their vast development needs? We address this question by analyzing seven tax reform experiences in LICs (Burkina Faso, The Gambia, Maldives, Mauritania, Rwanda, Senegal, and Uganda). Three lessons stand out, although reforms must be tailored to individual circumstances: (i) Tax reforms require first and foremost political commitment and buy-in from key stakeholders; (ii) Countries that pursue both revenue administration and tax policy reforms tend to see much larger and persistent gains; and (iii) A successful strategy often starts with fiscal reform measures with immediate effect to build momentum. These can include: simplifying the tax system; curbing exemptions; reforming indirect taxes on goods and services (e.g., excises); and better managing compliance risks through strengthening taxpayer segmentation (often beginning with strengthening the Large Taxpayers Office). A comprehensive reform strategy (e.g., a medium-term revenue strategy) can help to properly sequence reform measures and facilitate their implementation.

May 10, 2019

Strengthening the Monetary Policy Framework in Korea

Description: Adoption of inflation targeting by the Bank of Korea (BOK) in 1998 contributed to low and stable inflation. However, after the global financial crisis (GFC) monetary policy faced more challenging conditions. Inflation slipped below the target range in 2012 and remains below it despite a cut in the target to 2 percent in 2016. Policy also became more complex with the addition of financial stability to the central bank’s mandate. To address these challenges, this paper proposes a two-pronged approach to strengthen the effectiveness with which monetary policy can meet its objectives: first, enhanced communication on how the target will be achieved over the medium-term, building on a forecasting and policy analysis system; and, second, by clarifying the complementary role of macroprudential policy in containing financial stability risks so that monetary policy can focus on the inflation target. Simulation of a macro model calibrated to Korea illustrates how it can be used to provide this greater medium-term focus on achieving the inflation target and strengthen communication.

May 10, 2019

CoMap: Mapping Contagion in the Euro Area Banking Sector

Description: This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.

May 10, 2019

The Motives to Borrow

Description: Governments issue debt for good and bad reasons. While the good reasons—intertemporal tax-smoothing, fiscal stimulus, and asset management—can explain some of the increases in public debt in recent years, they cannot account for all of the observed changes. Bad reasons for borrowing are driven by political failures associated with intergenerational transfers, strategic manipulation, and common pool problems. These political failures are a major cause of overborrowing though budgetary institutions and fiscal rules can play a role in mitigating governments’ tendencies to overborrow. While it is difficult to establish a clear causal link from high public debt to low output growth, it is likely that some countries pay a price—in terms of lower growth and greater output volatility—for excessive debt accumulation.

May 7, 2019

Discriminatory Pricing of Over-the-Counter Derivatives

Description: New regulatory data reveal extensive price discrimination against non-financial clients in the FX derivatives market. The client at the 90th percentile pays an effective spread of 0.5%, while the bottom quarter incur transaction costs of less than 0.02%. Consistent with models of search frictions in over-the-counter markets, dealers charge higher spreads to less sophisticated clients. However, price discrimination is eliminated when clients trade through multi-dealer request-for-quote platforms. We also document that dealers extract rents from captive clients and market opacity, but only for contracts negotiated bilaterally with unsophisticated clients.

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