Working Papers

December 20, 2019

Hidden Treasure: The Impact of Automatic Exchange of Information on Cross-Border Tax Evasion

Description: We analyze the impact of exchange of information in tax matters in reducing international tax evasion between 1995 and 2018. Based on bilateral deposit data for 39 reporting countries and more than 200 counterparty jurisdictions, we find that recent automatic exchange of information frameworks reduced foreign-owned deposits in offshore jurisdictions by an average of 25 percent. This effect is statistically significant and, as expected, much larger than the effect of information exchange upon request, which is not significant. Furthermore, to test the sensitivity of our findings, we estimate countries’ offshore status and the impact of information exchange simultaneously using a finite mixture model. The results confirm that automatic (and not upon request) exchange of information impacts cross-border deposits in offshore jurisdictions, which are characterized by low income tax rates and strong financial secrecy.

December 20, 2019

Money Creation in Fiat and Digital Currency Systems

Description: To support the understanding that banks’ debt issuance means money creation, while centralized nonbank financial institutions’ and decentralized bond market intermediary lending does not, the paper aims to convey two related points: First, the notion of money creation as a result of banks’ loan creation is compatible with the notion of liquid funding needs in a multi-bank system, in which liquid fund (reserve) transfers across banks happen naturally. Second, interest rate-based monetary policy has a bearing on macroeconomic dynamics precisely due to that multi-bank structure. It would lose its impact in the hypothetical case that only one (“singular”) commercial bank would exist. We link our discussion to the emergence and design of central bank digital currencies (CBDC), with a special focus on how loans would be granted in a CBDC world.

December 20, 2019

Liquidity Choice and Misallocation of Credit

Description: This paper studies a novel type of misallocation of credit between investments of varying liquidity. One type of investment is more liquid, i.e., its return is more pledgeable, and the other is more productive. Low liquidities of both investment types imply that the allocation of credit is constrained inefficient and that there is overinvestment in the liquid type. Constrained inefficient equilibria feature non-positive, i.e., one less than or equal the economy’s growth rate, and yet too high interest rate, too much investment and too little consumption. Financial development can reduce long-term welfare and output in a constrained inefficient equilibrium if it raises the liquidity of the liquid type. I show a maximum liquid asset ratio or a simple debt tax can achieve constrained efficiency. Introducing government bonds can make Pareto improvement whenever it does not raise the interest rate.

December 20, 2019

Disposal is Not Free: Fiscal Instruments to Internalize the Environmental Costs of Solid Waste

Description: This paper provides an overview of global solid waste generation, its environmental costs, and fiscal instruments that can be used to encourage waste reduction and finance proper disposal. Countries—especially island nations--struggle to manage an ever-increasing volume of solid waste, generation of which is projected to exceed 2 billion tons a year by 2025. Although solid waste management is usually relegated to subnational governments, externalities from inadequate management, which include greenhouse gas emissions and ocean plastic pollution, reach global scale. National governments thus play a critical role in creating incentives for waste minimization and ensuring adequate resources for proper waste management. This paper evaluates potential fiscal instruments to achieve these goals, particularly in developing country policy environments.

December 20, 2019

Labor Market Dynamics: A Hidden Markov Approach

Description: This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which typically assumes that a worker’s observed labor force status follows a first-order Markov process, the proposed HMM allows workers with the same labor force status to have different history-dependent transition probabilities. I show that the estimated HMM generates labor market transition probabilities that match those observed in the data, while the first-order Markov model (FOM) and its many-state extensions cannot. Even compared with the extended FOM, the HMM improves the fit of the empirical transition probabilities by a factor of 30. I apply the HMM to (1) calculate the long-run consequences of separation from stable employment, (2) study evolutions of employment stability across different demographic groups over the past several decades, (3) compare the dynamics of labor market flows during the Great Recession to those during the 1981 recession, and (4) highlight the importance of looking beyond distributions of current labor force status.

December 13, 2019

Explaining the Shadow Economy in Europe: Size, Causes and Policy Options

Description: This paper examines the drivers, and reestimates the size of shadow economies in Europe, with a focus on the emerging economies, and recommends policies to increase formality. The size of shadow economies declined across Europe in recent years but remains significant, especially in Eastern Europe. In the emerging European economies, the key determinants of shadow economy size are regulatory quality, government effectiveness, and human capital. The paper argues that a comprehensive package of reforms, focused on country-specific drivers, is needed to successfully combat the shadow economy. The menu of policies most relevant for Europe’s emerging economies include: reducing regulatory and administrative burdens, promoting transparency and improving government effectiveness, as well as improving tax compliance, automating procedures, and promoting electronic payments.

December 13, 2019

Exchange Rate Volatility and Pass-Through to Inflation in South Africa

Description: Does the South African rand’s relatively large volatility affect inflation? To shed some light on this question, a standard estimation technique of exchange rate pass-through to inflation is extended to incorporate exchange rate volatility. Estimated results suggest that higher exchange rate volatility tends to increase core inflation but to a relatively limited extent in South Africa. The finding lends support to the policy of allowing the rand to float freely and work as a shock absorber, consistent with the nation’s successful inflation targeting regime.

December 13, 2019

What is the Impact of Increased Business Competition?

Description: This paper studies the macroeconomic effect and underlying firm-level transmission channels of a reduction in business entry costs. We provide novel evidence on the response of firms' entry, exit, and employment decisions. To do so, we use as a natural experiment a reform in Portugal that reduced entry time and costs. Using the staggered implementation of the policy across the Portuguese municipalities, we find that the reform increased local entry and employment by, respectively, 25% and 4.8% per year in its first four years of implementation. Moreover, around 60% of the increase in employment came from incumbent firms expanding their size, with most of the rise occurring among the most productive firms. Standard models of firm dynamics, which assume a constant elasticity of substitution, are inconsistent with the expansionary and heterogeneous response across incumbent firms. We show that in a model with heterogeneous firms and variable markups the most productive firms face a lower demand elasticity and expand their employment in response to increased entry.

December 13, 2019

Big Data on Vessel Traffic: Nowcasting Trade Flows in Real Time

Description: Vessel traffic data based on the Automatic Identification System (AIS) is a big data source for nowcasting trade activity in real time. Using Malta as a benchmark, we develop indicators of trade and maritime activity based on AIS-based port calls. We test the quality of these indicators by comparing them with official statistics on trade and maritime statistics. If the challenges associated with port call data are overcome through appropriate filtering techniques, we show that these emerging “big data” on vessel traffic could allow statistical agencies to complement existing data sources on trade and introduce new statistics that are more timely (real time), offering an innovative way to measure trade activity. That, in turn, could facilitate faster detection of turning points in economic activity. The approach could be extended to create a real-time worldwide indicator of global trade activity.

December 11, 2019

What Is Real and What Is Not in the Global FDI Network?

Description:

Macro statistics on foreign direct investment (FDI) are blurred by offshore centers with enormous inward and outward investment positions. This paper uses several new data sources, both macro and micro, to estimate the global FDI network while disentangling real investment and phantom investment and allocating real investment to ultimate investor economies. We find that phantom investment into corporate shells with no substance and no real links to the local economy may account for almost 40 percent of global FDI. Ignoring phantom investment and allocating real investment to ultimate investors increases the explanatory power of standard gravity variables by around 25 percent.