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This book is a practical guide to building economic models both macroeconomic and multisectoral. It uses free software available from the Internet together with regularly updated databanks including the quarterly national accounts of the United States and other quarterly data. It assumes no prior acquaintance with econometrics or computer programming, but does assume a willingness to follow a mathematical argument. Much of the text has often been used in college teaching. The book begins with a very simple model that can be computed with a hand calculator or cell phone. The model has, however, a nonlinearity in the investment function and shows how a nonlinearity can lead to a model with a cycle which neither damps out nor explodes. It then moves to models built with real data in the framework of the U.S. National Income and Product Accounts and develops the important concept of identity-centered modeling. Once the identities are are working properly, the modeler can proceed to the estimation of equations by least-squares regressions. Gradually the reader is led to the construction of a model roughly comparable to those used by commercial economic forecasting firms. At every step of the way, the reader sees results of calculations with real data and is urged to estimate his or her own equations with real, up-to-date data. The second section explores making alternative forecasts with this model and devising optimal economic policies with its aid. It also explores the range of uncertainty of the forecasts due to known variability of the errors in its equations. A rather long chapter expounds some conventional econometric methods and applies them to real data to both illustrate them and evaluate their usefulness. Although most of the book uses equations which are linear in the parameters which must be estimated, some functions very useful for certain purposes in economics are non-linear in the parameters. A chapter is devoted to their estimation. Most of the book uses the relatively simple U.S. system of national accounts, but one chapter deals with modeling with the more complicated System of National Accounts used by most other countries. Like the economy itself, dynamic models such as those built here have a tendency to develop cycles. One chapter looks into the mathematical theory of why that is so. The third section enlarges the scope of the book to include multisectoral models. Although here the model actually built is a tiny one of 8-sectors with made-up data, the methods employed are exactly those of the Inforum models used in a number of countries around the world. Multi-sectoral models can use many of the same techniques used for macromodels, but there are some additional problems. One of these is the estimation of personal consumption functions where the demand for any one product depends not only on its price but those of all other products. One method which has worked better than others is explained and the results of its estimation in four countries are presented and compared. Another problem is the computation of product-to-product tables from those constructed by statistical agencies. The book does not explain Real Business Cycle models, nor Computable General Equilibrium models, nor Dynamic Stochastic General Equilibrium models, which are all, in the author's opinion, unrealistic fads, not serious ways of modeling an economy..
A review of the Heckscher–Ohlin framework prompts a noted economist to consider the methodology of economics. In this spirited and provocative book, Edward Leamer turns an examination of the Heckscher–Ohlin framework for global competition into an opportunity to consider the craft of economics: what economists do, what they should do, and what they shouldn't do. Claiming “a lifetime relationship with Heckscher–Ohlin,” Leamer argues that Bertil Ohlin's original idea offered something useful though vague and not necessarily valid; the economists who later translated his ideas into mathematical theorems offered something precise and valid but not necessarily useful. He argues further that the best economists keep formal and informal thinking in balance. An Ohlinesque mostly prose style can let in faulty thinking and fuzzy communication; a mostly math style allows misplaced emphasis and opaque communication. Leamer writes that today's model- and math-driven economics needs more prose and less math. Leamer shows that the Heckscher–Ohlin framework is still useful, and that there is still much work to be done with it. But he issues a caveat about economists: “What we do is not science, it's fiction and journalism.” Economic theory, he writes, is fiction (stories, loosely connected to the facts); data analysis is journalism (facts, loosely connected to the stories). Rather than titling the two sections of his book Theory and Evidence, he calls them Economic Fiction and Econometric Journalism, explaining, “If you find that startling, that's good. I am trying to keep you awake.”
A leading economist trains a lens on his own discipline to uncover when it fails and when it works.
“A hugely valuable contribution. . . . In setting out a defence of the best in economics, Rodrik has also provided a goal for the discipline as a whole.” —Martin Sandbu, Financial Times In the wake of the financial crisis and the Great Recession, economics seems anything but a science. In this sharp, masterfully argued book, Dani Rodrik, a leading critic from within, takes a close look at economics to examine when it falls short and when it works, to give a surprisingly upbeat account of the discipline. Drawing on the history of the field and his deep experience as a practitioner, Rodrik argues that economics can be a powerful tool that improves the world—but only when economists abandon universal theories and focus on getting the context right. Economics Rules argues that the discipline's much-derided mathematical models are its true strength. Models are the tools that make economics a science. Too often, however, economists mistake a model for the model that applies everywhere and at all times. In six chapters that trace his discipline from Adam Smith to present-day work on globalization, Rodrik shows how diverse situations call for different models. Each model tells a partial story about how the world works. These stories offer wide-ranging, and sometimes contradictory, lessons—just as children’s fables offer diverse morals. Whether the question concerns the rise of global inequality, the consequences of free trade, or the value of deficit spending, Rodrik explains how using the right models can deliver valuable new insights about social reality and public policy. Beyond the science, economics requires the craft to apply suitable models to the context. The 2008 collapse of Lehman Brothers challenged many economists' deepest assumptions about free markets. Rodrik reveals that economists' model toolkit is much richer than these free-market models. With pragmatic model selection, economists can develop successful antipoverty programs in Mexico, growth strategies in Africa, and intelligent remedies for domestic inequality. At once a forceful critique and defense of the discipline, Economics Rules charts a path toward a more humble but more effective science.
INFORUM is a research project started more than forty five years ago by Clopper Almon. The focus is on the development of dynamic, interindustry, macroeconometric models to forecast the economy in the long run. Over the last 30 years, the Inforum approach to model building has been shared by economists in many different countries. Researchers have focused much of their efforts to developing a linked system of international interindustry models with a consistent methodology. A world-wide network of research associates use similar methods and a common software obtaining comparable results to produce studies of common interest to the group. Inforum partners have shared their research in an annual conference since 1993. The XXII Inforum World Conference was held in Alexandria, Virginia in September 2014 and this book contains a selection of papers presented during the sessions. All these contributions share an empirical and pragmatic orientation that is very useful for policymakers, business, and applied economists. Some papers are devoted to specific topics (productivity, energy, international trade, demographic changes) and some others are oriented to model building and simulations.
An incisive guide that helps up-and-coming economists become successful scholars The Economist's Craft introduces graduate students and rising scholars to the essentials of research, writing, and other critical skills for a successful career in economics. Michael Weisbach enables you to become more effective at communicating your ideas, emphasizing the importance of choosing topics that will have a lasting impact. He explains how to write clearly and compellingly, present and publish your findings, navigate the job market, and more. Walking readers through each stage of a research project, Weisbach demonstrates how to develop research around a theme so that the value from a body of work is more than the sum of its individual papers. He discusses how to structure each section of an academic article and describes the steps that follow the completion of an initial draft, from presenting and revising to circulating and eventually publishing. Weisbach reveals how to get the most out of graduate school, how the journal review process works, how universities decide promotions and tenure, and how to manage your career and continue to seek out rewarding new opportunities. A how-to guide for the aspiring economist, The Economist's Craft covers a host of important issues rarely taught in the graduate classroom, providing readers with the tools and insights they need to succeed as professional scholars.
Community development expert Ilana Preuss explains how local leaders can revitalize their downtowns or neighborhood main streets by bringing in and supporting small-scale manufacturing. Small-scale manufacturing businesses help create thriving places, with local business ownership opportunities and well-paying jobs that other business types can't fulfill.
This upper-level undergraduate textbook, now in its second editon, approaches monetary economics using the classical paradigm of rational agents in a market setting. Too often monetary economics has been taught as a collection of facts about existing institutions for students to memorize. By teaching from first principles, the authors aim to instruct students not only in existing monetary policies and institutions but also in what policies and institutions may or should exist in the future. The text builds on a simple, clear monetary model and applies this framework consistently to a wide variety of monetary questions. The authors have added in this second edition new material on speculative attacks on currencies, social security, currency boards, central banking alternatives, the payments system, and the Lucas model of price surprises. Discussions of many topics have been extended, presentations of data greatly expanded, and new exercises added.