Working Papers
2020
June 5, 2020
Estimating the Neutral Interest Rate in the Kyrgyz Republic
Description: This paper estimates the neutral interest rate in the Kyrgyz Republic using a range of methodologies. Results indicate that the real neutral rate is about 4 percent based on an average of models and 3.7 percent based on a Quarterly Projection Model. This is higher than in many emerging markets and is likely explained by higher public debt and an elevated risk premium, low creditor rights and contractual enforcement, and low domestic savings. The use of an estimate of the neutral interest rate provides useful guidance to monetary policy and enhances transparency and independence of the central bank. Our estimate provides a quantitative benchmark for the monetary policy stance in the context of a central bank that is building analytical capacity, integrating additional insights in its decision-making process, and working to improve its communication. Strengthening the monetary transmission mechanism will be critical to enhance the effectiveness of monetary policy, including by allowing more exchange rate flexibility to support the transition to a full-fledged inflation targeting regime, and reducing excess liquidity to enhance the credit channel, reducing dollarization and high interest rate spreads that adversely affect the transmission of the policy rate to the economy.
June 5, 2020
How Loose, How Tight? A Measure of Monetary and Fiscal Stance for the Euro Area
Description: This paper builds a model-based dynamic monetary and fiscal conditions index (DMFCI) and uses it to examine the evolution of the joint stance of monetary and fiscal policies in the euro area (EA) and in its three largest member countries over the period 2007-2018. The index is based on the relative impacts of monetary and fiscal policy on demand using actual and simulated data from rich estimated models featuring also financial intermediaries and long-term government debt. The analysis highlights a short-lived fiscal expansion in the aftermath of the Global Financial Crisis, followed by a quick tightening, with monetary policy left to be the “only game in town” after 2013. Individual countries’ DMFCIs show that national policy stances did not always mirror the evolution of the aggregate stance at the EA level, due to heterogeneity in the fiscal stance.
June 5, 2020
Credibility Dynamics and Disinflation Plans
Description: We study the optimal design of a disinflation plan by a planner who lacks commitment. Having announced a plan, the Central banker faces a tradeoff between surprise inflation and building reputation, defined as the private sector's belief that the Central bank is committed to the plan. Some plans are harder to sustain: the planner recognizes that paving out future grounds with temptation leads the way for a negative drift of reputation in equilibrium. Plans that successfully create low inflationary expectations balance promises of lower inflation with dynamic incentives that make them more credible. When announcing the disinflation plan, the planner takes into account these anticipated interactions. We find that, even in the zero reputation limit, a gradual disinflation is preferred despite the absence of inflation inertia in the private economy.
June 5, 2020
Why Did Public Banks Lend More During the Global Financial Crisis?
Description: During the Global Financial Crisis (GFC), state-owned or public banks lent relatively more than domestic private banks in many countries. However, data limitations have hindered a thorough assessment of what led public banks to better maintain lending during the GFC. Using a novel bank-level dataset covering 25 emerging market economies, we show that public banks lent relatively more during the GFC because they pursued an objective of helping to stabilize the economy, rather than because they had superior fundamentals or access to public or depositors’ funding. Nonetheless, their countercyclical behavior seems unique to the GFC rather than a regular characteristic of public banks before and after the GFC.
May 29, 2020
Predictive Density Aggregation: A Model for Global GDP Growth
Description: In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries’ predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we model non-parametrically the contemporaneous interdependencies across the United States, the euro area, and China via a conditional kernel density estimation of a joint distribution. Then, we characterize the potential ampli?cation e?ects stemming from other large economies in each region—also with kernel density estimations—and the reaction of all other economies with para-metric assumptions. Importantly, each economy’s predictive density also depends on a set of observable country-speci?c factors. Finally, the use of sampling techniques allows us to aggregate individual countries’ densities into a world aggregate while preserving the non-i.i.d. nature of the global GDP growth distribution. Out-of-sample metrics con?rm the accuracy of our approach.
May 29, 2020
Tax Elasticity Estimates for Capital Stocks in Canada
Description: The paper provides estimates of the long-run, tax-adjusted, user cost elasticity of capital (UCE) in a small open economy, exploiting three sources of variation in Canadian tax policy: across provinces, industries, and years. Estimates of the UCE with Canadian data are less prone to the endogeneity problems arising from the effects of tax policy changes on the interest rate or on the price of capital equipment. Reductions in the federal corporate income tax rate during the early 2000s for service industries but not for manufacturing, which already benefited from a preferential tax rate, contribute to the identification of the UCE. To capture the long-run relationship between the capital stock and the user cost of capital, an error correction model (ECM) is estimated. Supplementary results are obtained from a distributed lag model in first differences (DLM). With the ECM, our baseline UCE for machinery and equipment (M&E) is -1.312. The corresponding semi-elasticity of the stock of M&E with respect to the METR is about -0.2, suggesting, for example, that a 5 percentage point reduction in the METR, say from 15 to 10 percent, would in the long run generate an increase of 1.0 percent in the stock of M&E. The UCE for non-residential construction is statistically insignificantly different from zero.
May 29, 2020
Tec(h)tonic Shifts: Taxing the “Digital Economy”
Description: The ever-increasing digitalization of businesses has accelerated the need to address the many shortcomings and unresolved issues within the international corporate income tax system. In particular, the customer or “user”—through their online activities—is now considered by many as being a critical driving force behind the value of digital services. Furthermore, the rapid growth of digital service providers over the last decade has made them an increasingly popular target for special taxes—similar to wealth and solidarity taxes—which can also help mobilize much-needed revenues in the wake of a crisis. This paper argues that a plausible conceptual case can be made to tax the value generated by users under the corporate income tax. However, a number of issues need to be tackled for user-based tax measures to become a reality, which include agreement among countries on whether user value justifies a reallocation of taxing rights, establishing the legal right to tax income derived from user value, as well as an appropriate metric for valuing user-generated data if it is ever to be used as a tax base. Furthermore, attempting to tax only certain types of business is ill-advised, especially as user data is now being exploited widely enough for it to be recognized as an input for almost all businesses. Several options present themselves for consideration—from a modified permanent establishment definition combined with taxation by formulary apportionment, to user-based royalty-type taxes—each with their own merits and misdemeanors.
May 29, 2020
Fintech and Payments Regulation: Analytical Framework
Description: Financial technology (Fintech) has prompted authorities to consider their potential financial stability benefits, risks, and effective regulation. Recent developments suggest that regulatory approaches and their legal foundations need to augment entity-based regulation with increasing focus on activities and risks as market structure changes. This paper draws on recent international experiences in modernizing legal and regulatory frameworks for payment services. An analytical framework based on a four-step process is proposed—(i) identifying payment activities; (ii) licensing entities and designating systems; (iii) analyzing and managing risks, and (iv) promoting legal certainty. As payment activities evolve and potential systemic risks heighten, adherence to international standards and additional regulatory requirements should be warranted.
May 29, 2020
Patterns of Foreign Exchange Intervention under Inflation Targeting
Description: The paper documents the use of foreign exchange intervention (FXI) across countries and monetary regimes, with special attention to its use under inflation targeting (IT). We find significant differences between advanced and emerging market economies, with the former group conducting FXI limitedly and broadly symmetrically, while the use of this policy instrument in emerging market countries is pervasive and mostly asymmetric (biased towards purchasing foreign currency, even after taking into account precautionary motives). Within emerging markets, the use of FXI is common both under IT and non-IT regimes. We find no evidence of FXI being used in response to inflation developments, while there is strong evidence that FXI responds to exchange rates, indicating that IT central banks in EMDEs have dual inflation/exchange rate objectives. We also find a higher propensity to overshoot inflation targets in emerging market economies where FXI is more pervasive.
May 29, 2020
Can Digitalization Help Deter Corruption in Africa?
Description: This paper studies the effect of digitalization on the perception of corruption and trust in tax officials in Africa. Using individual-level data from Afrobarometer surveys and several indices of digitalization, we find that an increase in digital adoption is associated with a reduction in the perception of corruption and an increase in trust in tax officials. Exploiting the exogeneous deployment of submarine cables at the local level, the paper provides evidence of a negative impact of the use of Internet on the perception of corruption. Yet, the paper shows that the dampening effect of digitalization on corruption is hindered in countries where the government has a pattern of intentionally shutting down the Internet, while countries that successfully promote information and communication technology (ICT) enjoy a more amplified effect.