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This book provides an accessible guide to price index and hedonic techniques, with a focus on how to best apply these techniques and interpret the resulting measures. One goal of this book is to provide first-hand experience at constructing these measures, with guidance on practical issues such as what the ideal data would look like and how best to construct these measures when the data are less than ideal. A related objective is to fill the wide gulf between the necessarily simplistic elementary treatments in textbooks and the very complex discussions found in the theoretical and empirical measurement literature. Here, the theoretical results are summarized in an intuitive way and their numerical importance is illustrated using data and results from existing studies. Finally, while the aim of much of the existing literature is to better understand official price indexes like the Consumer Price Index, the emphasis here is more practical: to provide the needed tools for individuals to apply these techniques on their own. As new datasets become increasingly accessible, tools like these will be needed to obtain summary price measures. Indeed, these techniques have been applied for years in antitrust cases that involve pricing, where economic experts typically have access to large, granular datasets.
The measurement of price dynamics is by no means new endeavourin the official statistics but the process of establishing accurate price changes in time still remains challenging in many areas. One such demanding field is the application of appropriate techniques in price index development for providing amendments reflecting quality differences which might occur in the compared commodities. The book presents results of research on the applicability of hedonic methods in adjusting price indices to changes in the goods quality and test the techniques used for hedonic price indices construction using the data sets for various groups of heterogeneous goods, including used automobiles, appartments, household appliances and ICT goods.
The consumer price index (CPI) measures the rate at which prices of consumer goods and services change over time. It is used as a key indicator of economic performance, as well as in the setting of monetary and socio-economic policy such as indexation of wages and social security benefits, purchasing power parities and inflation measures. This manual contains methodological guidelines for statistical offices and other agencies responsible for constructing and calculating CPIs, and also examines underlying economic and statistical concepts involved. Topics covered include: expenditure weights, sampling, price collection, quality adjustment, sampling, price indices calculations, errors and bias, organisation and management, dissemination, index number theory, durables and user costs.
This book offers a comprehensive assessment of the Mauritian economy and its financial system. The author investigates the pre- and post- crisis financial and economic environment of Mauritius thoroughly and looks to the future potential development of the economy. Chapters feature in-depth analysis of such aspects as the banking sector, the stock market, monetary policy, capital structure, the hedging practices of Mauritian firms, and the housing market in Mauritius, among others. Moreover, the author not only builds a credit risk model for Mauritian bankers, but also develops a financial stability model to provide the reader with a full account of the Mauritian economy. The author ends with a chapter dedicated to a 2030 vision for Mauritius. This book will be of interest to researchers, students, policy-makers, central bankers and economists who wish to explore an example of an upper-income developing economy in depth.
Measuring Economic Growth and Productivity: Foundations, KLEMS Production Models, and Extensions presents new insights into the causes, mechanisms and results of growth in national and regional accounts. It demonstrates the versatility and usefulness of the KLEMS databases, which generate internationally comparable industry-level data on outputs, inputs and productivity. By rethinking economic development beyond existing measurements, the book's contributors align the measurement of growth and productivity to contemporary global challenges, addressing the need for measurements as well as the Gross Domestic Product. All contributors in this foundational volume are recognized experts in their fields, all inspired by the path-breaking research of Dale W. Jorgenson. - Demonstrates how an approach based on sources of economic growth (KLEMS – capital, labor, energy, materials and services) can be used to analyze economic growth and productivity - Includes examples covering the G7, E7, EU, Latin America, Norway, China, Taiwan, Japan, Korea, India and other South Asian countries - Examines the effects of digital, information, communication and integrated technologies on national and regional economies
Productivity underpins business success and national well-being and thus it is crucial to understand the factors that influence productivity growth. This volume provides a comprehensive exploration into the significance of productivity growth for business, the economy, and for social economic progress. It examines how productivity is defined, measured and implemented. It also surveys the dispersion of productivity across time and place, focusing on the productivity dynamics that either leads to a reallocation of resources that reduces dispersion and increases aggregate productivity or, conversely, allows dispersion to persist behind barriers to productivity-enhancing reallocation. A third focus is an investigation of the drivers of, or impediments to, productivity growth, some of which are organizational in nature and under management control and others of which are institutional in nature and subject to public policy intervention. The Oxford Handbook of Productivity Analysis contains contributions of distinguished productivity experts from around the world who analyze a wide range of timely issues. These issues concern purely analytical topics surrounding the measurement of productivity in various situations, beginning with the ideal situation in which all inputs and all outputs, and their prices, are observed accurately. They also include service sectors such as education in which the services provided are hard to define, much less measure, and other sectors that generate undesirable environmental externalities that are difficult to price and complicate the very definition of productivity. The issues also involve business management topics ranging from the role of business models and benchmarking to the quality of management practices, the adoption of new technologies, and possible complementarities between the two. The relationship between productivity and business performance is also explored. At a more aggregate level the issues range from the impacts of market power, incentive regulation, international trade and global value chains on productivity, to the contribution of productivity to economic development and economic welfare.
Measuring innovation is a challenging task, both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growth in importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and on prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to and data sources for measurement, such as collecting data for a particular innovation as opposed to a firm and using trademarks for tracking innovation. They also consider the connections between university-based R&D and business start-ups and the potential impacts of innovation on income distribution. The research suggests strategies for expanding current measurement frameworks to better capture innovative activity, including developing more detailed tracking of global value chains to identify innovation across time and space and expanding the measurement of innovation’s impacts on GDP in fields such as consumer content delivery and cloud computing.
The purpose of this book is to bring together, for the first time, a description and examples of the main methods used in microsimulation modelling used in the field of income distribution analysis. It is structured to develop and use the different types of models used in the field, with a focus on household targeted policy. The book aims to provide a greater degree of codified knowledge by providing a practical guide to developing and using microsimulation models. At present, the training of researchers and analysts that use and develop microsimulation modelling is done on a relatively ad hoc basis through occasional training programmes and lecture series, built around lecture notes. Practical Microsimulation Modelling enables a more formalised and organised approach. Each chapter addresses a separate modelling approach in a similar consistent way, describing in a practical way the key methodological skills for each approach.
Proceedings of The 7th MAC 2016 - The 7th Multidisciplinary Academic Conference in Prague 2016, Czech Republic
The gulf between macroeconomic theory and macroeconomic practice has never been greater. This book bridges that gap.