Working Papers
2023
January 13, 2023
Macro Effects of Formal Adoption of Inflation Targeting
Description: We examine the impact of formal adoption of inflation targeting (IT) on inflation, growth and anchoring of inflation expectations in advanced economies and emerging markets and developing economies (EMDEs). Our paper reports several findings relevant to assessing the success of IT regimes. We find that while the early adopters of IT (pre-2000) all saw declines in inflation rates following adoption, IT adopters since then have enjoyed such success in only about half the cases. Since there is not much difference, on average, between IT and non-IT countries in mean inflation, inflation volatility and the extent of inflation anchoring, it is not easy to sort out what role IT has played in ensuring good outcomes; in particular, we cannot rule out the possibility that the success of IT may be due to ‘regression to the mean’. Our country-level analysis—using the Synthetic Control Method (SCM) to compare outcomes in IT countries to a synthetic cohort—shows that IT adoption delivers significant inflation gains in about a third of the cases. At the same time, we also find limited support for the concern that adoption of IT systematically leads to poorer growth outcomes. At a time when central banks are struggling to keep inflation in check, our results suggest that the belief that IT adoption will be sufficient to achieve this goal cannot be taken for granted.
January 13, 2023
Coming Clean on Your Taxes
Description: This paper develops a simple model to explore whether a higher detection probability for offshore tax evaders—e.g. because of improved exchange of information between countries and/or due to digitalization of tax administrations—renders it optimal for governments to introduce a voluntary disclosure program (VDP) and, if so, under what terms. We find that if the VDP is unanticipated, it is likely to be optimal for a revenue-maximizing government to introduce a VDP with relatively generous terms, i.e. a low or even negative penalty. When anticipated, however, the VDP is neither incentive compatible nor optimal, as it induces otherwise compliant taxpayers to evade tax. A VDP can then only be beneficial if tax evasion induces an external social cost beyond the direct revenue foregone, e.g., due to adverse effects on overall tax morale. In contrast to the common view that VDPs should come along with additional enforcement effort, we find that governments should relax enforcement if the VDP itself provides more powerful incentives to come clean.
January 6, 2023
Why Some Don’t Belong—The Distributional Effects of Natural Disasters
Description: When and how do natural disasters worsen within-country income inequality? We highlight the channels through which natural disasters may have distributional effects and empirically analyze when and which type of disasters affect inequality in advanced economies (AEs) and in emerging and developing economies (EMDEs). We find that in AEs inequality increases after severe disasters. We also find that inequality increases if severe disasters are associated with growth slowdowns or there are multiple disasters in a year in AEs and in EMDEs. Descriptive evidence for the US also suggests that adverse labor market effects of disasters are likely to fall on vulnerable groups.
January 6, 2023
The Pricing-Out Phenomenon in the U.S. Housing Market
Description: The COVID-19 pandemic further extended the multi-year housing boom in advanced economies and emerging markets alike against massive monetary easing during the pandemic. In this paper, we analyze the pricing-out phenomenon in the U.S. residential housing market due to higher house prices associated with monetary easing. We first set up a stylized general equilibrium model and show that although monetary easing decreases the mortgage payment burden, it would raise house prices, lower housing affordability for first-time homebuyers, and increase housing wealth inequality between first-time and repeat homebuyers. We then use the U.S. household-level data to quantify the effect of the house price change on housing affordability relative to that of the interest rate change. We find evidence of the pricing-out effect for all homebuyers; moreover, we find that the pricing-out effect is stronger for first-time homebuyers than for repeat homebuyers. The paper highlights the importance of accounting for general equilibrium effects and distributional implications of monetary policy while assessing housing affordability. It also calls for complementing monetary easing with well-targeted policy measures that can boost housing affordability, particularly for first-time and lower-income households. Such measures are also needed during aggressive monetary tightening, given that the fall in house prices may be insufficient or too slow to fully offset the immediate adverse impact of higher rates on housing affordability.
2022
December 16, 2022
Equity and Efficiency Effects of Land Value Taxation
Description: It is a well-known result in economics that land value taxation is efficient since it does not distort the supply of the tax base. Considering only efficiency, land value should thus be fully taxed. Using optimal taxation theory with heterogeneous households, we show that it may be optimal not to tax land value fully for distributional reasons. The decisive variable is the covariance of land value held by households and their social welfare weight. Empirical data from the US and France, however, indicates that ownership of land value (in absolute terms) is negatively correlated to the social welfare weight. Middle income households would pay relatively more land value taxes than high income households, but less in absolute terms. With reasonable revenue recycling, land value taxation would thus reduce the net tax burden of low and middle income earners, because they would benefit more from the recycling than they pay in additional taxes.
December 16, 2022
Targeted, Implementable, and Practical Energy Relief Measures for Households in Europe
Description: The recommended way of helping households during the ongoing European energy crisis is to allow price signals to operate freely while providing targeted compensation to the vulnerable. In practice, however, institutional, political, and technical constraints have led many European governments to adopt broad, price-suppressing measures, which impede the adjustment in demand, have high fiscal costs, and widen cross-country gaps in prices. This paper focuses on easy-to-implement, second-best policies. Bonuses or rebates on energy bills (that are not linked to the current volume of consumption) or block tariffs are simple options which would improve on the current policy design in many countries. To avoid stoking inflation, fiscal policy should not add to aggregate demand, so relief for energy bills should be targeted and coupled with offsetting fiscal measures. One option is to reclaim the relief from the better-off through income taxation, which would also make support more progressive.
December 16, 2022
The Impact of the IMF’s COVID-19 Support to Developing and Emerging Economies
Description: We construct a high-frequency dataset that combines information on all IMF lending and proxies of monthly economic activity during the first two years of the COVID-19 pandemic (2020–21). Using this novel dataset and standard econometric techniques we find a positive and significant marginal effect of IMF financing on economic activity in low-income countries (LICs) and emerging market economies. We also present tentative evidence that IMF financing may have helped economic outcomes by easing fiscal budget constraints, allowing for larger government spending in response to the pandemic. Overall, this evidence suggests that IMF financing helped lessen the negative impacts of the pandemic on economic activity, especially in LICs.
December 16, 2022
Deep Reinforcement Learning: Emerging Trends in Macroeconomics and Future Prospects
Description: The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
December 16, 2022
IMF’s Precautionary Lending Instruments: Have They Worked?
Description: The paper documents the benefits provided by IMF’s precautionary instruments (FCL and PLL) to countries in accessing international financial markets. It builds on multiple methods to show that the announcement of new FCL or PLL generally leads to a significant decline in sovereign spreads. Next, it evaluates the role of the FCL and PLL in mitigating external financial pressures, focusing on the COVID-19 pandemic as a case study. Economies which had a PLL or FCL arrangement in place during the pandemic experienced a lower increase in spreads relative to other emerging markets, even after controlling for country-specific effects and other covariates, suggesting that these arrangements help cushion external shocks. Finally, the study asks whether FCL/PLL drawdowns have an impact on financial perceptions; the analysis finds—albeit on the basis of a very small sample— no evidence of downside effects from countries drawing down on these arrangements .
December 16, 2022
Natural Disasters and Scarring Effects
Description: This paper uses a novel empirical approach, following the literature on hysteresis, to explore medium-term scarring of natural disasters for countries vulnerable to climate change. By quantifying the dynamic effects of natural disasters on real GDP per capita for a large number of episodes using a synthetic control approach (SCA) and focusing on severe shocks, we demonstrate that a persistently large deviation of real GDP per capita from the counterfacutal trend exists five years after a severe shock in many countries. The findings highlight the importance and urgency of building ex-ante resilience to avoid scarring effects for countries prone to natural disasters, such as those in the Caribbean region.