Harberger’s superneutrality conjecture contends that, although in theory the mix of direct and indirect taxes affects investment and growth, in practice growth effects of taxation are negligible. This paper provides evidence in support of this view by testing the predictions of endogenous growth models driven by human capital accumulation. The theoretical analysis highlights implications of different taxes for growth and investment in these models. The empirical work is based on cross-country regressions and numerical simulations, using a new methodology for estimating aggregate effective tax rates. Results show significant investment effects from income and consumption taxes that are consistent with small growth effects. The results are robust to the introduction of other growth determinants.

From one of the leading policy experts of our time, an urgent rethinking of how we can better support each other to thrive Whether we realize it or not, all of us participate in the social contract every day through mutual obligations among our family, community, place of work, and fellow citizens. Caring for others, paying taxes, and benefiting from public services define the social contract that supports and binds us together as a society. Today, however, our social contract has been broken by changing gender roles, technology, new models of work, aging, and the perils of climate change. Minouche Shafik takes us through stages of life we all experience—raising children, getting educated, falling ill, working, growing old—and shows how a reordering of our societies is possible. Drawing on evidence and examples from around the world, she shows how every country can provide citizens with the basics to have a decent life and be able to contribute to society. But we owe each other more than this. A more generous and inclusive society would also share more risks collectively and ask everyone to contribute for as long as they can so that everyone can fulfill their potential. What We Owe Each Other identifies the key elements of a better social contract that recognizes our interdependencies, supports and invests more in each other, and expects more of individuals in return. Powerful, hopeful, and thought-provoking, What We Owe Each Other provides practical solutions to current challenges and demonstrates how we can build a better society—together.

Banks are usually better informed on the loans they originate than other financial intermediaries. As a result, securitized loans might be of lower credit quality than otherwise similar nonsecuritized loans. We assess the effect of securitization activity on loans’ relative credit quality employing a uniquely detailed dataset from the euro-denominated syndicated loan market. We find that, at issuance, banks do not seem to select and securitize loans of lower credit quality. Following securitization, however, the credit quality of borrowers whose loans are securitized deteriorates by more than those in the control group. We find tentative evidence suggesting that poorer performance by securitized loans might be linked to banks’ reduced monitoring incentives.

This paper documents the features of a new database that focuses on changes in the intensity in the usage of several widely used prudential tools, taking into account both macro-prudential and micro-prudential objectives. The database coverage is broad, spanning 64 countries, and with quarterly data for the period 2000Q1 through 2014Q4. The five types of prudential instruments in the database are: capital buffers, interbank exposure limits, concentration limits, loan to value (LTV) ratio limits, and reserve requirements. A total of nine prudential tools are constructed since some useful further decompositions are presented, with capital buffers divided into four subindices: general capital requirements, real state credit specific capital buffers, consumer credit specific capital buffers, and other specific capital buffers; and with reserve requirements divided into two sub-indices: domestic currency capital requirements and foreign currency capital requirements. While general capital requirements have the most changes from the cross-country perspective, LTV ratio limits and reserve requirements have the largest number of tightening and loosening episodes. We also analyze the instruments’ usage in relation to the evolution of key variables such as credit, policy rates, and house prices, finding substantial differences in the patterns of loosening or tightening of instruments in relation to business and financial cycles.

The special task of this book is to present a statistical and theoretical analysis of the relation between the quantity of money and other key economic magnitudes over periods longer than those dominated by cyclical fluctuations-hence the term trends in the title. This book is not restricted to the United States but includes comparable data for the United Kingdom.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.