This text is designed to provide a comprehensive guide to students, researchers, or consultants who wish to carry out and to interpret analyses of economic performance, with an emphasis on productivity growth. The text includes an overview of standard productivity growth measurement techniques and adaptations, and data construc tion procedures. It goes further, however, by expanding the tradition al growth accounting (index number) framework to allow consider ation of how different aspects of firm behavior underlying productivity growth are interrelated, how they can be measured con sistently in a parametric model, and how they permit a well-defined decomposition of standard productivity growth measures. These ideas are developed by considering in detail a number of underlying theoretical results and econometric issues. The impacts of various production characteristics on productivity growth trends are also evaluated by overviewing selected methodological extensions and em pirical evidence. More specifically, in the methodological extensions, emphasis is placed on incorporation of cost and demand characteristics, such as fixity and adjustment costs, returns to scale, and the existence of market power, into analyses of productivity growth. These character istics, generally disregarded in such analyses, can have very important impacts on production structure and firm behavior, and thus on economic performance. They also provide the conceptual basis for vii viii PREFACE measures that are often used independently as indicators of economic performance, such as investment, capacity utilization, and profit measures.

Using data from several countries, including Cote d'Ivoire, India, Pakistan, Taiwan, and Thailand, this book analyzes household survey data from developing countries and illustrates how such data can be used to cast light on a range of short-term and long-term policy issues.

A sequel to his frequently cited Cost and Production Functions (1953), this book offers a unified, comprehensive treatment of these functions which underlie the economic theory of production. The approach is axiomatic for a definition of technology, by mappings of input vectors into subsets of output vectors that represent the unconstrained technical possibilities of production. To provide a completely general means of characterizing a technology, an alternative to the production function, called the Distance Function, is introduced. The duality between cost function and production function is developed by introducing a cost correspondence, showing that these two functions are given in terms of each other by dual minimum problems. The special class of production structures called Homothetic is given more general definition and extended to technologies with multiple outputs. Originally published in 1971. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Cost Structure and the Measurement of Economic Performance is designed to provide a comprehensive guide for students, researchers or consultants who wish to model, construct, interpret, and use economic performance measures. The topical emphasis is on productivity growth and its dependence on the cost structure. The methodological focus is on application of the tools of economic analysis - the `thinking structure' provided by microeconomic theory - to measure technological or cost structure, and link it with market and regulatory structure. This provides a rich basis for evaluation of economic performance and its determinants. The format of the book stresses topics or questions of interest rather than the theoretical tools for analysis. Traditional productivity growth modeling and measurement practices that result in a productivity residual often called the `measure of our ignorance' are initially overviewed, and then the different aspects of technological, market and regulatory structure that might underlie this residual are explored. The ultimate goal is to decompose or explain the residual, by modeling and measuring a multitude of impacts that determine the economic performance of firms, sectors, and economies. The chapters are organized with three broad goals in mind. The first is to introduce the overall ideas involved in economic performance measurement and traditional productivity growth analysis. Issues associated with different types of (short and long run, internal and external) cost economies, market and regulatory impacts, and other general cost efficiencies that might impact these measures are then explored. Finally, some of the theoretical, data construction and econometric tools necessary to justify and implement these models are emphasized.

The fact that the global economy is broken may be widely accepted, but what precisely needs to be fixed has become the subject of enormous controversy. In 2008, the President of the United Nations General Assembly convened an international panel, chaired by Nobel Prize-winning economist Joseph Stiglitz and including 20 leading experts on the international monetary system, to address this crucial issue. This report controversially establishes a bold agenda for policy change, both broad in scope and profound in its ambitions.

As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.

Calls for a more people-focused approach to statistics on economic performance, and concerns about inequality, environmental impacts, and effects of digitalization have put welfare at the top of the measurement agenda. This paper argues that economic welfare is a narrower concept than well-being. The new focus implies a need to prioritize filling data gaps involving the economic welfare indicators of the System of National Accounts 2008 (SNA) and improving their quality, including the quality of the consumption price indexes. Development of distributional indicators of income, consumption, and wealth should also be a priority. Definitions and assumptions can have big effects on these indicators and should be documented. Concerns have also arisen over potentially overlooked welfare growth from the emergence of the digital economy. However, the concern that free online platforms are missing from nominal GDP is incorrect. Also, many of the welfare effects of digitalization require complementary indicators, either because they are conceptually outside the boundary of GDP or impossible to quantify without making uncertain assumptions.

The 1993 SNA represents a major advance in national accounting. While updating and clarifying the 1968 SNA, the 1993 SNA provides the basis for improving compilation of national accounts statistics, promoting integration of economic and related statistics, and enhancing analysis of economic developments. The 1993 SNA deals more clearly with relationships between economic flows (such as production, income, savings, accumulation, and financing) and links between these flows and stocks. At the same time the 1993 SNA reflects the many significant developments that have taken place in financial markets and completes the integration of balance sheets into the system. The 1993 SNA also suggests how satellite accounts (e.g. environmental accounts) and alternative classifications (e.g., through social accounting matrices) an be used to augment the central framework of the system.

Technological change is not only a determinant of growth but is also a pivotal factor in international competition and the modernization of an economy. In one of the most in-depth and detailed studies of its kind, George Korres analyzes the macroeconomic and the microeconomic factors influencing the economics of innovation and the economic relations between technology, innovation, knowledge and productivity. In particular, this book examines both the theoretical framework and the applications for empirical results. This second edition contributes updated figures and estimations for technical change from EU member states and features new subjects, including growth models, productivity models, production function models and non-parametric models. In one of the most in-depth and detailed studies of its kind, this book captures all the existing contemporary techniques in the theoretical fields as well as the empirical applications of the models.