Working Papers
2020
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
Hysteresis and Business Cycles
Description: Traditionally, economic growth and business cycles have been treated independently. However, the dependence of GDP levels on its history of shocks, what economists refer to as “hysteresis,” argues for unifying the analysis of growth and cycles. In this paper, we review the recent empirical and theoretical literature that motivate this paradigm shift. The renewed interest in hysteresis has been sparked by the persistence of the Global Financial Crisis and fears of a slow recovery from the Covid-19 crisis. The findings of the recent literature have far-reaching conceptual and policy implications. In recessions, monetary and fiscal policies need to be more active to avoid the permanent scars of a downturn. And in good times, running a high-pressure economy could have permanent positive effects.
May 29, 2020
When Banks Punch Back: Macrofinancial Feedback Loops in Stress Tests
Description: In the presence of adverse macroeconomic shocks, simultaneous capital losses in multiple banks can prompt them to contract their balance sheets. These bank responses generate externalities that propagate in the form of macro-financial feedback loops. This paper develops a credit response and externalities analysis model (CREAM) that integrates a disaggregated banking sector into an otherwise standard macroeconomic structural vector autoregressive model. It shows that accounting for macro-financial feedback loops can significantly affect macroeconomic outcomes and bank-specific stress tests results. The heterogeneity in bank lending responses matters: it determines how each bank fares under adverse conditions and the external effects that banks impose on each other and on economic activity. The model can thus be used to assess the contributions of individual banks to systemic risk along the time dimension.
May 29, 2020
The Fiscal State-Dependent Effects of Capital Income Tax Cuts
Description: Using the post-WWII data of U.S. federal corporate income tax changes, within a Smooth Transition VAR, this paper finds that the output effect of capital income tax cuts is government debt-dependent: it is less expansionary when debt is high than when it is low. To explore the mechanisms that can drive this fiscal state-dependent tax effect, the paper uses a DSGE model with regime-switching fiscal policy and finds that a capital income tax cut is stimulative to the extent that it is unlikely to result in a future fiscal adjustment. As government debt increases to a sufficiently high level, the probability of future fiscal adjustments starts rising, and the expansionary effects of a capital income tax cut can diminish substantially, whether the expected adjustments are through a policy reversal or a consumption tax increase. Also, a capital income tax cut need not always have large revenue feedback effects as suggested in the literature.
May 29, 2020
Global Smartphones Sales May Have Peaked
Description: Global smartphone sales may have peaked. After reaching nearly 1.5 billion units in 2016, global smartphone sales have since declined, contributing negatively to world trade in 2019 and suggesting that the global market may now be saturated. This paper develops a simple model to forecast smartphone sales, which shows that sales are likely to decline further. As tech companies shift to embedded services (cloud computing, content subscriptions, and financial services), the impact on global trade may also be shifting in favor of services exports mostly from advanced economies.
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.