This book arose from our conviction that the NNS-DSGE approach to the analysis of aggregate market outcomes is fundamentally flawed. The practice of overcoming the SMD result by recurring to a fictitious RA leads to insurmountable methodological problems and lies at the root of DSGE models’ failure to satisfactorily explain real world features, like exchange rate and banking crises, bubbles and herding in financial markets, swings in the sentiment of consumers and entrepreneurs, asymmetries and persistence in aggregate variables, and so on. At odds with this view, our critique rests on the premise that any modern macroeconomy should be modeled instead as a complex system of heterogeneous interacting individuals, acting adaptively and autonomously according to simple and empirically validated rules of thumb. We call our proposed approach Bottom-up Adaptive Macroeconomics (BAM). The reason why we claim that the contents of this book can be inscribed in the realm of macroeconomics is threefold: i) We are looking for a framework that helps us to think coherently about the interrelationships among two or more markets. In what follows, in particular, three markets will be considered: the markets for goods, labor and loanable funds. In this respect, real time matters: what happens in one market depends on what has happened, on what is happening, or on what will happen in other markets. This implies that intertemporal coordination issues cannot be ignored. ii) Eventually, it’s all about prices and quantities. However, we are mostly interested in aggregate prices and quantities, that is indexes built from the dispersed outcomes of the decentralized transactions of a large population of heterogeneous individuals. Each individual acts purposefully, but she knows anything about the levels of prices and quantities which clear markets in the aggregate. iii) In the hope of being allowed to purport scientific claims, BAM relies on the assumption that individual purposeful behaviours aggregates into regularities. Macro behaviour, however, can depart radically from what the individual units are trying to accomplish. It is in this sense that aggregate outcomes emerge from individual actions and interactions.

Age of Productivity offers a look at how the low productivity in Latin America and the Caribbean is preventing the region from catching up with the developed world. The authors look beyond the traditional macro explanations and dig all the way down to the industry and firm level to uncover the causes.

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.

"The last decade has seen a lively debate in macroeconomics, with an increasing criticism on the model that seemed to be dominant in literature since the end of the 1990's, the Dynamic Stochastic General Equilibrium (DSGE, hereafter) and, consequently, the birth of some new theoretical approaches and methodologies"--

This book describes the analysis of macroeconomic agent based models using the tools of statistical mechanics.

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

A leading economist's exploration of what our economic arrangements might look like if we applied basic principles without ideological blinders. There is nothing wrong with economics, Dean Baker contends, but economists routinely ignore their own principles when it comes to economic policy. What would policy look like if we took basic principles of mainstream economics seriously and applied them consistently? In the debate over regulation, for example, Baker—one of the few economists who predicted the meltdown of fall 2008—points out that ideological blinders have obscured the fact there is no “free market” to protect. Modern markets are highly regulated, although intrusive regulations such as copyright and patents are rarely viewed as regulatory devices. If we admit the extent to which the economy is and will be regulated, we have many more options in designing policy and deciding who benefits from it. On health care reform, Baker complains that economists ignore another basic idea: marginal cost pricing. Unlike all other industries, medical services are priced extraordinarily high, far above the cost of production, yet that discrepancy is rarely addressed in the debate about health care reform. What if we applied marginal cost pricing—making doctors' wages competitive and charging less for prescription drugs and tests such as MRIs? Taking Economics Seriously offers an alternative Econ 101. It introduces economic principles and thinks through what we might gain if we free ourselves from ideological blinders and get back to basics in the most troubled parts of our economy.

This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.

How ideas in complexity can be used to develop more effective public policy Complexity science—made possible by modern analytical and computational advances—is changing the way we think about social systems and social theory. Unfortunately, economists' policy models have not kept up and are stuck in either a market fundamentalist or government control narrative. While these standard narratives are useful in some cases, they are damaging in others, directing thinking away from creative, innovative policy solutions. Complexity and the Art of Public Policy outlines a new, more flexible policy narrative, which envisions society as a complex evolving system that is uncontrollable but can be influenced. David Colander and Roland Kupers describe how economists and society became locked into the current policy framework, and lay out fresh alternatives for framing policy questions. Offering original solutions to stubborn problems, the complexity narrative builds on broader philosophical traditions, such as those in the work of John Stuart Mill, to suggest initiatives that the authors call "activist laissez-faire" policies. Colander and Kupers develop innovative bottom-up solutions that, through new institutional structures such as for-benefit corporations, channel individuals’ social instincts into solving societal problems, making profits a tool for change rather than a goal. They argue that a central role for government in this complexity framework is to foster an ecostructure within which diverse forms of social entrepreneurship can emerge and blossom.

"The notion that expectations play a key role in economic decision making is a very old one. Over the past 100 years, major advances in the application of this insight in the formulation of economic models have been made in various subfields of economics. The concept of extrapolation, the idea that past observations of a series are the basis for making projections into the future, was present from the start of the modeling of dynamic economic processes"--