Transparency and Tax Evasion: Evidence from the Foreign Account Tax Compliance Act (FATCA)

We examine how U.S. individuals respond to regulation intended to reduce offshore tax evasion. The Foreign Account Tax Compliance Act (FATCA) requires foreign financial institutions to report information to the U.S. government regarding U.S. account holders. We first document an average $7.8 billion to $15.3 billion decrease in equity foreign portfolio investment to the United States from tax-haven countries after FATCA implementation, consistent with a decrease in “round-tripping” investments attributable to U.S. investors’ offshore tax evasion. When testing total worldwide investment out of financial accounts in tax havens post-FATCA, we find an average decline of $56.6 billion to $78.0 billion. We next provide evidence of other important consequences of this regulation, including increased expatriations of U.S. citizens and greater investment in alternative assets not subject to FATCA reporting, such as residential real estate and artwork. Our study contributes to both the academic literature and policy analysis on regulation, tax evasion, and crime.     

Destination taxation and evasion: Evidence from U.S. inter-state commodity flows

Tax evasion has been an important issue in the accounting literature for several decades, but the focus has been on corporate income taxes. We develop a new way to examine tax evasion that focuses on corporate transactions, rather than corporate profits. Specifically, we examine how commodity flows respond to destination sales taxes, allowing for tax evasion as a function of distance between trade partners. After accounting for transportation costs, we find that the effect of taxes decreases as distance increases. This is consistent with the notion that longer distances between trade partners hinder government oversight and increase the likelihood of successful tax evasion. Our results are robust with respect to outliers, strategic neighbor effects, information sharing agreements and other re-specifications. These results are important to policymakers because they evidence the difficulty of enforcing destination taxation in open economies such as U.S. states and the European Union.     

Finance and international business cycles

Business cycles are more correlated among countries that have similar financial structures. We first document this empirical regularity using OECD data, and then build a two-country DSGE model with financial frictions that replicates it. Alternative monetary policy regimes and parameter values are explored. Output co-movements increase when the countries involved are linked by a credible exchange rate peg and when they open up to trade; they decrease when their financial openness increases. The model also accounts for a number of stylized facts of international business cycles, such as the positive international correlation of output, investment and employment.     

土地价格、土地财政与宏观经济波动

本文在一个包含金融加速器的新凯恩斯动态一般均衡模型中引入土地财政和政府隐性担保融资机制,借此考察在土地财政体制下土地价格的波动特征、驱动因素和对宏观经济的影响机制,同时使用2004Q1到2016Q1的中国宏观经济数据对模型进行贝叶斯估计。方差分解的结果表明,在样本期间,土地需求冲击、土地供给冲击和货币政策冲击是驱动中国土地价格变动的主要因素,货币政策冲击和土地供给冲击是引起短期土地价格波动的主要因素,土地需求冲击在长期中驱动了土地价格波动。数值模拟结果发现,土地财政对宏观经济波动具有放大效应,正向的土地需求冲击将推高土地价格,并通过抵押约束机制引起宏观经济波动,地方政府对土地财政的依赖将放大该效应,并进一步对土地价格形成正向反馈,从而引起宏观经济更大的波动;在土地财政体制下,正向的土地供给冲击有助于抑制土地价格上涨,并减少宏观经济波动。     

Tax Havens,Tax Evasion and Tax Information Exchange Agreements in the OECD

Using data on Foreign Portfolio Investment (FPI), we find a positive relationship between higher tax burden and OECD residents’ tax evasion, especially via tax havens. Contrary to established investor preference for certain country characteristics, we find they are less important to tax evaders who value privacy and want to remain undetected by their home tax authorities. We find very limited evidence that OECD Tax Information Exchange Agreements (TIEAS) reduce tax evasion, controlling for other determinants of overall OECD FPI. Without the US in the OECD sample, tax havens play a lesser role and OECD policies appear to make a marginal impact.     

Taxpayers' Behavioural Responses and Measures of Tax Compliance ‘Gaps’: A Critique and a New Measure

The work of Feldstein (1995 and 1999) has stimulated substantial conceptual and empirical advances in economists' approaches to analysing taxpayers' behavioural responses to changes in tax rates. Meanwhile, a largely independent literature proposing and applying alternative measures of tax compliance has also developed in recent years, which has sought to provide tax agencies with tools to identify the extent of tax non‐compliance as a first step to designing policies to improve compliance. In this context, measures of ‘tax gaps’ – the difference between actual tax collected and the potential tax collection under full compliance with the tax code – have become the primary measures of tax non‐compliance via (legal) avoidance and/or (illegal) evasion. In this paper, we argue that the tax gap as conventionally defined is conceptually flawed because it fails to incorporate behavioural responses by taxpayers. We show that conventional tax gap measures, which ignore the presence of behavioural responses, exaggerate the degree of non‐compliance. This potentially applies both to indirect taxes (such as the ‘VAT gap’) and direct (income) taxes. Further, where these conventional tax gap measures motivate reforms designed to increase the tax compliance rate, they will likely have a tax‐base‐reducing effect and hence generate a smaller increase in realised tax revenues than would be anticipated from the tax gap estimate.     

Monetary policy shocks and financial conditions: A Monte Carlo experiment

The effects of monetary policy shocks on financial conditions are often estimated by appealing to recursive Vector AutoRegressions (VARs). We assess the ability of this class of VARs to recover the true effects of a monetary policy shock via a Monte Carlo experiment in which the Data Generating Process is a Dynamic Stochastic General Equilibrium (DSGE) model featuring macro-finance interactions and estimated with U.S. quarterly data. Our DSGE model predicts a negative and significant reaction of financial conditions to an unexpected monetary policy tightening. We point out that such reaction is just overlooked by recursive VARs. Moreover, we show that Cholesky-VARs may substantially underestimate the welfare costs due to macroeconomic fluctuations.     

Home bias,exchange rate disconnect,and optimal exchange rate policy

This paper examines how much the central bank should adjust the interest rate in response to real exchange rate fluctuations. The paper first demonstrates, in a two-country Dynamic Stochastic General Equilibrium (DSGE) model, that home bias in consumption is important to replicate the exchange rate volatility and exchange rate disconnect documented in the data. When home bias is high, the shock to Uncovered Interest rate Parity (UIP) can substantially drive up exchange rate volatility while leaving the volatility of real macroeconomic variables, such as GDP, almost untouched. The model predicts that the volatility of the real exchange rate relative to that of GDP increases with the extent of home bias. This relation is supported by the data. A second-order accurate solution method is employed to find the optimal operational monetary policy rule. Our model suggests that the monetary authority should not seek to vigorously stabilize exchange rate fluctuations. In particular, when the central bank does not take a strong stance against the inflation rate, exchange rate stabilization may induce substantial welfare loss. The model does not detect welfare gain from international monetary cooperation, which extends Obstfeld and Rogoff's [Obstfeld, M., Rogoff, K.,2002. Global implications of self-oriented national monetary rules, Quarterly Journal of Economics May, 503–535] findings to a DSGE model.     

Corporate Debt Structure and the Financial Crisis

We present a DSGE model where firms optimally choose among alternative instruments of external finance. The model is used to explain the evolving composition of corporate debt during the financial crisis of 2008–09, namely, the observed shift from bank finance to bond finance, at a time when the cost of market debt rose above the cost of bank loans. We show that the flexibility offered by banks on the terms of their loans and firms' ability to substitute among alternative instruments of debt finance are important to shield the economy from adverse real effects of a financial crisis.     

What Drives the Owner‐Occupied and Rental Housing Markets? Evidence from an Estimated DSGE Model

Most dynamic stochastic general equilibrium (DSGE) models with a housing market do not explicitly include a rental market and assume a tight mapping between house prices and rents over the business cycle. However, rents are much smoother than house prices in the data. We match this feature of the data by adding both an owner‐occupied housing market and a rental market in a standard DSGE model. The intertemporal preference shock accounts for more than half of the variation in house prices and contributes to residential investment fluctuations through the liquidity constraint, and nominal rigidity in rental contracts captures the variation in the price‐rent ratio.     

银行体系、技术冲击与中国宏观经济波动

本文运用新凯恩斯的DSGE模型研究金融效率、经济结构变化对技术冲击效应的影响。研究结果印证了传统经济周期理论的核心观点,即技术进步不仅可以刺激产出、消费和投资,还可以降低社会总体价格水平,而金融中介效率、资本收入份额和折旧率的高低都不会影响技术冲击的传导路径。同时,本文的研究还显示,作为金融中介的银行体系效率越高,技术冲击对宏观经济波动的影响越小。该结论意味着,在当前阶段我国应着力提高国内金融体系的效率,以保证宏观经济的平稳健康运行。     

Swiss banking secrecy: the stock market evidence

We examine the stock price reactions of four Swiss banks to negotiations between Switzerland and the European Union and between Switzerland and the United States to (i) obtain an estimate of the value of banking secrecy to Swiss banks, and (ii) distinguish between tax evasion and genuine privacy concerns as sources of that value. We find that the value of banking secrecy to the private banks is large, accounting for 8 to 14% of their market value; in contrast, the value of banking secrecy to the universal banks is small. We further find that tax evasion may be less important and privacy concerns more important a source of value of banking secrecy than might previously have been thought.     

The Quantitative Importance of News Shocks in Estimated DSGE Models

We estimate a dynamic stochastic general equilibrium (DSGE) model with several frictions and both unanticipated and news shocks, using quarterly U.S. data from 1954 to 2004 and Bayesian methods. We find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output, consumption, and investment growth, interest rate, and the relative price of investment. The unanticipated shock to the marginal efficiency of investment is the dominant shock, accounting for over 45% of the variance in output growth. News shocks account for less than 15% of the variance in output growth. Within the set of news shocks, nontechnology sources of news dominate technology news, with wage markup news shocks accounting for about 60% of the variance share of both hours and inflation. We find that in the estimated DSGE model (i) the presence of endogenous countercyclical price and wage markups due to nominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions, and (ii) while there is little change in the estimated contributions of technology news when we restrict wealth effects on labor supply, the contributions of nontechnology news shocks are relatively more sensitive.     

Predicting Long‐Term Financial Returns: VAR versus DSGE Model—A Horse Race

This paper considers a U.S. institutional investor who is implementing a long‐term portfolio allocation using forecasts of financial returns. We compare the predictive performance of two competing macrofinance models—an unrestricted vector autoRegression (VAR) and a fully‐structural dynamic stochastic general equilibrium (DSGE) model—for horizons up to 15 years. Although the performances are similar for short horizons, the DSGE model outperforms the VAR at forecasting financial returns in the long term. This model also generates substantially higher Sharpe ratios. Although it contains fewer unknown parameters, it benefits from economically grounded restrictions that help anchor financial returns in the long term.     

The effects of International Financial Reporting Standards,auditing and legal enforcement on tax evasion: Evidence from 37 African countries

This study examines the significance of International Financial Reporting Standards (IFRS), audting and legal enforcement on tax evasion for a group of 37 African countries for the period 2008–2017. These countries were subsequently regrouped into subsamples of four clusters. Three-stage least square regression was used for the analysis. The results indicate that there is a negative and significant relationship between IFRS and tax evasion in some clusters (i.e., early IFRS adopters and strong legal enforcers). The other clusters (late IFRS adopters and weak legal enforcers) have a similar sign of coefficient though statistically insignificant. Moreover, evidence suggests that adoption and application of IFRS lead to improved financial reporting quality and lessen tax evasion in some African jurisdictions. Additionally, legal enforcement is found to be statistically significant in relation to tax evasion in two clusters (i.e., early IFRS adopters and strong legal enforcers). Some African countries are slow or ineffective in adopting and implementing IFRS, which by itself cannot improve tax compliance. IFRS can only achieve its objective when there is strong legal enforcement (e.g., control of corruption, rule of law, effective regulatory framework, voice and accountability, strong monitoring, and auditing to promote transparency). More evidently, in contrast to weak legal enforcers, countries with strong legal enforcement have high IFRS compliance, which can strengthen auditing and reporting standards and hence, improve tax compliance.     

The Distributional Implications of Income Under‐Reporting in Hungary*

The ability and inclination of specific social groups to evade tax vary widely, and this leads to considerable variation in the actual tax burden on individuals with similar levels of income. Thus, ignoring tax evasion can be seriously misleading in terms of the distributive and fiscal effects of the tax system. This paper estimates the distributional implications of income tax evasion in Hungary, based on a random sample of the administrative tax records of nearly 230,000 individuals. Gross incomes declared in the administrative tax returns are compared with incomes stated in a nationally representative household budget survey. Our estimates show that the average rate of underreporting is 9–13 per cent, though this conceals a big difference between the self‐employed (who hide the greater part of their income) and employees. The estimates are likely to be lower bounds. These rates are used in a tax– benefit microsimulation model to calculate the fiscal and distributional implications of under‐reporting. Tax evasion reduces households' personal income tax payments by about 16–20 per cent. While the poverty rate increases only slightly, income inequality rises significantly, suggesting that high‐income households tend to evade tax proportionately more. Finally, we find that tax evasion largely reduces the progressivity of the tax system.     

Profit or politics? Understanding renationalizations in Russia

This study examines firm-level determinants of the government incentives to acquire controlling stakes in private companies. Using a novel hand-collected dataset of 153 largest listed and unlisted Russian companies, I investigate the methods and the rationales of a 2004–2008 wave of selected nationalizations in a post-privatization market. I find robust evidence that formerly privatized and domestically-owned companies in strategically important sectors face the highest risks of corporate control transfers from private to state hands. I also find that the corporate tax evasion is another significant determinant of a firm nationalization. Contrary to commonly held beliefs, there is little evidence that renationalizations in Russia are driven by firm profitability factors: the government neither systematically “cherry-picks” best performers nor addresses market failures by rescuing national champions in financial distress. These results contribute to t'he politics and finance literature by providing new firm-level evidence on the importance of strategic nationalism in the government's decision to intervene into the corporate control structures.     

Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs

In the dynamic stochastic general equilibrium (DSGE) literature there has been an increasing awareness on the role that the banking sector can play in macroeconomic activity. We present a DSGE model with financial intermediation as in Gertler and Karadi (2011). The estimation of shocks and of the structural parameters shows that time-variation should be crucial in any attempted empirical analysis. Since DSGE modelling usually fails to take into account inherent nonlinearities of the economy, we propose a novel time-varying parameter (TVP) state-space estimation method for VAR processes both for homoskedastic and heteroskedastic error structures. We conduct an exhaustive empirical exercise to compare the out-of-sample predictive performance of the estimated DSGE model with that of standard ARs, VARs, Bayesian VARs and TVP-VARs. We find that the TVP-VAR provides the best forecasting performance for the series of GDP and net worth of financial intermediaries for all steps-ahead, while the DSGE model outperforms the other specifications in forecasting inflation and the federal funds rate at shorter horizons.     

Banks as Tax Planning Intermediaries

We provide the first large‐scale empirical evidence of banks functioning as tax planning intermediaries. We posit that some banks specialize in assisting corporate clients with tax planning. In this role, banks make use of their centrality in financial relationships; access to private information; and ability to structure, execute, and participate in tax planning transactions for clients. We measure bank‐client relationships using loan contracts and measure client tax planning using either the cash effective tax rate or the unrecognized tax benefit balance. Using a difference‐in‐differences design, we find that firms experience meaningful tax reductions when they begin a relationship with a bank whose existing clients engage in above‐median tax planning. The effects of pairing with such tax intermediary banks are concentrated in relationships with larger or longer maturity loans, clients with foreign income or greater credit risk, and when the bank is an industry specialist or has above‐median investment banking activities. Finally, we find that potential clients are more likely to choose tax intermediary banks than nontax intermediary banks, suggesting that tax intermediary banks benefit by attracting new business. Collectively, our results suggest that some banks act as tax planning intermediaries, a role beyond the traditional one of financial intermediary.     

Determinants of tax evasion: A cross-country investigation

The purpose of this study is to expand on the work of Riahi-Belkaoiu [Riahi-Belkaoiu, A. (2004). Relationship between tax compliance internationally and selected determinants of tax morale. Journal of International Accounting, Auditing and Taxation, 13, 135-143] and systematically investigate, on a cross-country basis, many of the key determinants of tax evasion identified by Jackson and Milliron [Jackson, B. R., & Milliron, V. C. (1986). Tax compliance research: findings, problems and prospects. Journal of Accounting Literature, 5, 125-165]. Based on data for 45 countries, the results of the OLS regression analysis show that non-economic determinants have the strongest impact on tax evasion. Specifically, complexity is the most important determinant of tax evasion. Other important determinants of tax evasion are education, income source, fairness and tax morale. Overall, the regression results indicate that the lower the level of complexity and the higher the level of general education, services income source, fairness and tax morale, the lower is the level of tax evasion across countries. These findings remain robust to a broad range of cross-country control variables, an alternative tax evasion measure and various interactions.