Working Papers
2018
November 8, 2018
Is Inflation Domestic or Global? Evidence from Emerging Markets
Description: Following a period of disinflation during the 1990s and early 2000s, inflation in emerging markets has remained remarkably low and stable. Was this related to a global disinflation environment triggered by China's integration into world trade and the broader globalization in these economies, or to better domestic policies? In this paper, we review the inflation performance in a sample of 19 large emerging markets in the past couple of decades and quantify the impact of domestic and global factors in determining inflation. We document that the level, volatility, and persistence of inflation declined significantly, albeit not uniformly. Our results suggest that longer-term inflation expectations, linked to domestic factors, were the main determinant of inflation. External factors played a considerably smaller role. The results are a useful piece of evidence as emerging markets craft their monetary policies to navigate the future shift in global financial conditions.
November 8, 2018
The Price and Welfare Effects of The Value-Added Tax: Evidence from Mexico
Description: In this paper we analyze the incidence of the VAT and its effects on the income distribution. To identify these effects, we rely on two tax reforms undertaken in Mexico that increased the VAT rate for a group of cities and left the rest unaffected. We compare the inflation rate of the affected cities with the exempted cities before and after the law changed. We find that the effect on prices is limited and conclude that the burden of the tax is indeed shared between producers and consumers. Regarding welfare, we find that the VAT is progressive in both absolute and relative terms to the overall expenditure. Finally, we show that an identical change in the VAT rate when inflation is high and persistent doubles its pass-through to inflation and its welfare loss for the average household.
November 8, 2018
A Destination-Based Allowance for Corporate Equity
Description: Following renewed academic and policy interest in the destination-based principle for taxing profits—particularly through a destination-based cash flow tax (DBCFT)—this paper studies other forms of efficient destination-based taxes. Specifically, it analyzes the Destination-Based Allowance for Corporate Equity (DBACE) and Allowance for Corporate Capital (DBACC). It describes adjustments that are required to turn an origin into a destination-based versions of these taxes. These include adjustments to capital and equity, which are additional to the border adjustments needed under a DBCFT. The paper finds that the DBACC and DBACE reduce profit shifting and tax competition, but cannot fully eliminate them, with the DBACE more sensitve than the DBACC. Overall, given the potential major political cost of switching from an origin to a destination-based tax system, we conclude that advantages of the DBCFT are likely to outweigh the transitional advantages of the DBACE/DBACC.
November 2, 2018
Balancing Financial Stability and Housing Affordability: The Case of Canada
Description: Housing market imbalances are a key source of systemic risk and can adversely affect housing affordability. This paper utilizes a stylized model of the Canadian economy that includes policymakers with differing objectives—macroeconomic stability, financial stability, and housing affordability. Not surprisingly, when faced with multiple objectives, deploying more policy instruments can lead to better outcomes. The results show that macroprudential policy can be more effective than policies based on adjusting propertytransfer taxes because property-tax policy entails excessive volatility in tax rates. They also show that if property-transfer taxes are used as a policy instrument, taxes targeted at a broader-set of homebuyers can be more effective than measures targeted at a smaller subset of homebuyers, such as nonresident homebuyers.
November 2, 2018
The Expansionary Lower Bound: Contractionary Monetary Easing and the Trilemma
Description: We provide a theory of the limits to monetary policy independence in open economies arising from the interaction between capital flows and domestic collateral constraints. The key feature of our theory is the existence of an “Expansionary Lower Bound” (ELB), defined as an interest rate threshold below which monetary easing becomes contractionary. The ELB can be positive, thus acting as a more stringent constraint than the Zero Lower Bound. Furthermore, the ELB is affected by global monetary and financial conditions, leading to novel international spillovers and crucial departures from Mundell’s trilemma. We present two models under which the ELB may arise, the first featuring carry-trade capital flows and the second highlighting the role of currency mismatches.
November 2, 2018
Monetary and Macroprudential Policy Coordination Among Multiple Equilibria
Description: The notion of a tradeoff between output and financial stabilization is based on monetary-macroprudential models with unique equilibria. Using a game theory setup, this paper shows that multiple equilibria lead to qualitatively different results. Monetary and macroprudential authorities have tools that impose externalities on each other's objectives. One of the tools (macroprudential) is coarse, while the other (monetary policy) is unconstrained. We find that this asymmetry always leads to multiple equilibria, and show that under economically relevant conditions the authorities prefer different equilibria. Giving the unconstrained authority a weight on "helping" the constrained authority ("leaning against the wind") now has unexpected effects. The relation between this weight and the difficulty of coordinating is hump-shaped, and therefore a small degree of leaning worsens outcomes on both authorities' objectives.
November 2, 2018
Tax Revenue Mobilization Episodes in Emerging Markets and Low-Income Countries: Lessons from a New Dataset
Description: How do countries mobilize large tax revenue—defined as an average increase in the tax-to-GDP ratio of 0.5 percent per year over three years or more? To answer this question, we build a novel dataset covering 55 episodes of large tax revenue mobilization in low-income countries and emerging markets. We find that: (i) reforms of indirect taxes and exemptions are the most common tax policy measures; (ii) multi-pronged tax administration reforms often go hand in hand with tax policy measures or are stand alone; and (iii) sustainability of the episodes hinges on tax administration reforms in the key compliance areas (risk-based audits, registration, filing, payment, and reporting).
November 1, 2018
Macro-Fiscal Implications of Climate Change: The Case of Djibouti
Description: This paper reviews the significant macro-fiscal challenges posed by climate change in Djibouti and the costs of mitigation and adaptation policies. The paper concludes that Djibouti is susceptible to climate change and related costs are potentially large. Investing now in adaptation and mitigation has large benefits in terms of reducing the related costs in the future. Reforms to generate the fiscal space are therefore needed and investment for mitigation and adaptation to climate change should be built into the long-term fiscal projections. Finally, concerted international efforts and stepping up regional cooperation could help moderate climate-related macro-fiscal risks.
November 1, 2018
The Limits of Meritocracy
Description: We show that too much meritocracy, modeled as accuracy of performance ranking in contests, can be a bad thing: in contests with homogeneous agents, it reduces output and is Pareto inefficient. In contests with sufficiently heterogeneous agents, discouragement and complacency effects further reduce the benefits of meritocracy. Perfect meritocracy may be optimal only for intermediate levels of heterogeneity.
November 1, 2018
An Algorithmic Crystal Ball: Forecasts-based on Machine Learning
Description: Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input and output variables, thereby assuming a specific functional and stochastic process underlying that process. We pursue a new approach to forecasting by employing a number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the true relationship between input and output variables. We apply the Elastic Net, SuperLearner, and Recurring Neural Network algorithms on macro data of seven, broadly representative, advanced and emerging economies and find that these algorithms can outperform traditional statistical models, thereby offering a relevant addition to the field of economic forecasting.