We study the effects and historical contribution of monetary policy shocks to consumption and income inequality in the United States since 1980. Contractionary monetary policy actions systematically increase inequality in labor earnings, total income, consumption and total expenditures. Furthermore, monetary shocks can account for a significant component of the historical cyclical variation in income and consumption inequality. Using detailed micro-level data on income and consumption, we document the different channels via which monetary policy shocks affect inequality, as well as how these channels depend on the nature of the change in monetary policy.
The first book to reveal how the Federal Reserve holds the key to making us more economically equal, written by an author with unparalleled expertise in the real world of financial policy Following the 2008 financial crisis, the Federal Reserve’s monetary policy placed much greater focus on stabilizing the market than on helping struggling Americans. As a result, the richest Americans got a lot richer while the middle class shrank and economic and wealth inequality skyrocketed. In Engine of Inequality, Karen Petrou offers pragmatic solutions for creating more inclusive monetary policy and equality-enhancing financial regulation as quickly and painlessly as possible. Karen Petrou is a leading financial-policy analyst and consultant with unrivaled knowledge of what drives the decisions of federal officials and how big banks respond to financial policy in the real world. Instead of proposing legislation that would never pass Congress, the author provides an insider's look at politically plausible, high-impact financial policy fixes that will radically shift the equality balance. Offering an innovative, powerful, and highly practical solution for immediately turning around the enormous nationwide problem of economic inequality, this groundbreaking book: Presents practical ways America can and should tackle economic inequality with fast-acting results Provides revealing examples of exactly how bad economic inequality in America has become no matter how hard we all work Demonstrates that increasing inequality is disastrous for long-term economic growth, political action, and even personal happiness Explains why your bank's interest rates are still only a fraction of what they were even though the rich are getting richer than ever, faster than ever Reveals the dangers of FinTech and BigTech companies taking over banking Shows how Facebook wants to control even the dollars in your wallet Discusses who shares the blame for our economic inequality, including the Fed, regulators, Congress, and even economists Engine of Inequality: The Fed and the Future of Wealth in America should be required reading for leaders, policymakers, regulators, media professionals, and all Americans wanting to ensure that the nation’s financial policy will be a force for promoting economic equality.
Brookings Papers on Economic Activity (BPEA) provides academic and business economists, government officials, and members of the financial and business communities with timely research on current economic issues.
This volume brings together an exciting range of new studies of top incomes in a wide range of countries from around the world. The studies use data from income tax records to cast light on the dramatic changes that have taken place at the top of the income distribution. The results cover 22 countries and have a long time span, going back to 1875.
This paper analyzes the extent of income inequality from a global perspective, its drivers, and what to do about it. The drivers of inequality vary widely amongst countries, with some common drivers being the skill premium associated with technical change and globalization, weakening protection for labor, and lack of financial inclusion in developing countries. We find that increasing the income share of the poor and the middle class actually increases growth while a rising income share of the top 20 percent results in lower growth—that is, when the rich get richer, benefits do not trickle down. This suggests that policies need to be country specific but should focus on raising the income share of the poor, and ensuring there is no hollowing out of the middle class. To tackle inequality, financial inclusion is imperative in emerging and developing countries while in advanced economies, policies should focus on raising human capital and skills and making tax systems more progressive.
We posit that the relationship between income inequality and economic growth is mediated by the level of equality of opportunity, which we identify with intergenerational mobility. In economies characterized by intergenerational rigidities, an increase in income inequality has persistent effects—for example by hindering human capital accumulation— thereby retarding future growth disproportionately. We use several recently developed internationally comparable measures of intergenerational mobility to confirm that the negative impact of income inequality on growth is higher the lower is intergenerational mobility. Our results suggest that omitting intergenerational mobility leads to misspecification, shedding light on why the empirical literature on income inequality and growth has been so inconclusive.
The paper studies how high leverage and crises can arise as a result of changes in the income distribution. Empirically, the periods 1920-1929 and 1983-2008 both exhibited a large increase in the income share of the rich, a large increase in leverage for the remainder, and an eventual financial and real crisis. The paper presents a theoretical model where these features arise endogenously as a result of a shift in bargaining powers over incomes. A financial crisis can reduce leverage if it is very large and not accompanied by a real contraction. But restoration of the lower income group's bargaining power is more effective.
Inequality has drastically increased in many countries around the globe over the past three decades. The widening gap between the very rich and everyone else is often portrayed as an unexpected outcome or as the tradeoff we must accept to achieve economic growth. In this book, three International Monetary Fund economists show that this increase in inequality has in fact been a political choice—and explain what policies we should choose instead to achieve a more inclusive economy. Jonathan D. Ostry, Prakash Loungani, and Andrew Berg demonstrate that the extent of inequality depends on the policies governments choose—such as whether to let capital move unhindered across national boundaries, how much austerity to impose, and how much to deregulate markets. While these policies do often confer growth benefits, they have also been responsible for much of the increase in inequality. The book also shows that inequality leads to weaker economic performance and proposes alternative policies capable of delivering more inclusive growth. In addition to improving access to health care and quality education, they call for redistribution from the rich to the poor and present evidence showing that redistribution does not hurt growth. Accessible to scholars across disciplines as well as to students and policy makers, Confronting Inequality is a rigorous and empirically rich book that is crucial for a time when many fear a new Gilded Age.
This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.
