This book looks at the distribution of income and wealth and the effects that this has on the macroeconomy, and vice versa. Is a more equal distribution of income beneficial or harmful for macroeconomic growth, and how does the distribution of wealth evolve in a market economy? Taking stock of results and methods developed in the context of the 1990s revival of growth theory, the authors focus on capital accumulation and long-run growth. They show how rigorous, optimization-based technical tools can be applied, beyond the representative-agent framework of analysis, to account for realistic market imperfections and for political-economic interactions. The treatment is thorough, yet accessible to students and nonspecialist economists, and it offers specialist readers a wide-ranging and innovative treatment of an increasingly important research field. The book follows a single analytical thread through a series of different growth models, allowing readers to appreciate their structure and crucial assumptions. This is particularly useful at a time when the literature on income distribution and growth has developed quickly and in several different directions, becoming difficult to overview.

A companion to the bestseller, The Impact of Economic Policies on Poverty and Income Distribution, this title deals with theoretical challenges and cutting-edge macro-micro linkage models. The authors compare the predictive and analytical power of various macro-micro linkage techniques using the traditional RHG approach as a benchmark to evaluate standard policies, such as a typical stabilization package and a typical structural reform policy.

Structuralist macroeconomics has emerged recently as the only viable theoretical alternative for economists and practitioners in developing countries. Lance Taylor's innovative work represents a landmark in this field. It codifies a new generation of structuralist macroeconomic models that incorporate the economic power relationships of key institutions and groups, integrates both finance and real macroeconomics, and covers a diverse range of experience in the developing world over the past three decades. In an introduction Taylor explains his methodology, describes assumptions underlying the models used, and reviews theories that relate economic growth and the role of financial assets. He then takes up basic structuralist models of a closed economy and moves on to consider the open economy cases. He incorporates the latest developments in the field (inflation, financial crisis, exchange rate management, increasing returns, and the like) in a treatment that departs substantially from economic orthodoxy. Taylor first addresses the question of how to specify "closure" or define the causal structure of macro models. He also considers how income redistribution influences growth and output and how income redistribution interacts with inflation. Next, an investment-driven non-full employment growth model draws on ideas introduced earlier to illustrate how different sorts of macroeconomic policies affect short-run adjustment and growth prospects over time. Taylor then turns to the problems proposed by economic openness in a stylized semi-industrialized country, starting with international trade. A fix-price/flex-price model is developed, and additional models demonstrate cases of policy relevance as well as interactions between class conflict and growth.

Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It focuses on the empirical characterization and dynamics of income distribution and its related quantities from the epistemological and practical perspectives of contemporary physics. Several income distribution functions are presented which fit income data and results obtained by statistical physicists on the income distribution problem. The book discusses two separate research traditions: the statistical physics approach, and the approach based on non-linear trade cycle models of macroeconomic dynamics. Several models of distributive dynamics based on the latter approach are presented, connecting the studies by physicists on distributive dynamics with the recent literature by economists on income inequality. As econophysics is such an interdisciplinary field, this book will be of interest to physicists, economists, statisticians and applied mathematicians.

Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that “I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve. For how shall we know the source of inequality between men, if we do not begin by knowing mankind?” (Rousseau, 1754). This citation of Rousseau appears in an article in Spanish where Dagum (2001), in the memory of whom this book is published, also cites Socrates who said that the only useful knowledge is that which makes us better and Seneca who wrote that knowing what a straight line is, is not important if we do not know what rectitude is. These references are indeed a good illustration of Dagum’s vast knowledge, which was clearly not limited to the ?eld of Economics. For Camilo the ?rst part of Rousseau’s citation certainly justi?ed his interest in the ?eld of inequality which was at the centre of his scienti?c preoccupations. It should however be stressed that for Camilo the second part of the citation represented a “solid argument in favor of giving macroeconomic foundations to microeconomic behavior” (Dagum, 2001). More precisely, “individualism and methodological holism complete each other in contributing to the explanation of individual and social behavior” (Dagum, 2001).

An innovative approach to measuring inequality providing the first full integration of distributional and macro level data for the US.

This book collects recent research on modelling income distribution and redistribution by John Creedy and a number of other eminent co-authors. The book opens with the main results of a research programme, largely with Vance Martin, on distributional modelling using the generalised exponential family. The authors argue that the major advantages of this family are its flexibility, particularly in handling multimodality, and the explicit link with structural demand and supply models. The book goes on to discuss the research, undertaken with Alex Bakker, on the effects of macroeconomic variables, particularly unemployment and inflation, on the personal distribution. The use of the generalised exponential family in this context is explored, as well as the use of mixture distributions. Finally, income redistribution is examined in depth. This includes work, mainly with Justin van de Ven, on decomposing the redistributive effects of taxes into vertical, horizontal and reranking effects. The final chapters, with Duangkamon Chotikapanich, explore the Bayesian estimation of a range of social welfare, inequality and tax progressivity measures. Posterior distributions of the measures are obtained. Modelling Income Distribution should be of interest to a wide range of academics and researchers with an interest in welfare economics and econometric theory.

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

This paper highlights how changes in the composition of demand affect income dispersion in the short run. We first document how the share of aggregate spending dedicated to labour-intensive goods and services shrinks (expands) during downturns (booms), and argue that this contributes to the observed pro-cyclicality of employment and output in labour-intensive industries. Using a two-sector general equilibrium model, we then assess how this demand composition channel influences the cyclical properties of the income distribution. Consistent with empirical evidence, we find income inequality to be countercyclical due to changes in the level of employment and (to a lesser extent) relative factor prices. The model also shows that wealth redistribution policies can potentially involve a trade-off between equality and output, depending on how they affect the composition of aggregate demand.