The study of consumer demand is important for a number of reasons. First, as total consumption absorbs more than 70 percent of GDP in most countries, it is the largest of the macroeconomic aggregates, thus having great significance for the state of the economy as a whole and business conditions. Second, the pattern of consumption contains a wealth of useful information regarding economic welfare and living standards. Closely allied to this is that as consumption (both current and future) is the ultimate objective of all economic activity and economic systems (mercantilists notwithstanding), in a fundamental sense consumption patterns are an objective way of measuring and assessing economic performance. Finally, an understanding of the price-responsiveness of consumption is of crucial importance for a host of microeconomic policy issues including public-utility pricing, the measurement of distortions, optimal taxation and the treatment of externalities. The analysis of consumer demand is one of the major successes of economics as it represents the near perfect marriage of theory and econometrics, a situation almost unparalleled in any other field of economics. This field has attracted a lot of attention since the introduction of the linear expenditure system and its application to British data by Stone (1954), followed by the differential demand system of Barten (1964) and Theil (1965, 1975176, 1980) and developments thereafter.
An authoritative survey with exciting new insights of special interest to economists and econometricians who analyse intertemporal and interspatial price relationships.' - Professor Angus Maddison, Groningen University This book presents a comprehensive review of recent developments in the theory and construction of index numbers using the stochastic approach, demonstrating the versatility of this approach in handling various index number problems within a single conceptual framework. It also contains a brief, but complete, review of the existing approaches to index numbers with illustrative numerical examples. The stochastic approach considers the index number problem as a signal extraction problem. The strength and reliability of the signal extracted from price and quantity changes for different commodities depends upon the messages received and the information content of the messages. The most important applications of the new approach are to be found in the context of measuring rate of inflation; fixed and chain base index numbers for temporal comparisons and for spatial intercountry comparisons; the latter generally require special index number formulae that result in transitive and base invariant comparisons.
The study of consumer demand is important for a number of reasons. First, as total consumption absorbs more than 70 percent of GDP in most countries, it is the largest of the macroeconomic aggregates, thus having great significance for the state of the economy as a whole and business conditions. Second, the pattern of consumption contains a wealth of useful information regarding economic welfare and living standards. Closely allied to this is that as consumption (both current and future) is the ultimate objective of all economic activity and economic systems (mercantilists notwithstanding), in a fundamental sense consumption patterns are an objective way of measuring and assessing economic performance. Finally, an understanding of the price-responsiveness of consumption is of crucial importance for a host of microeconomic policy issues including public-utility pricing, the measurement of distortions, optimal taxation and the treatment of externalities. The analysis of consumer demand is one of the major successes of economics as it represents the near perfect marriage of theory and econometrics, a situation almost unparalleled in any other field of economics. This field has attracted a lot of attention since the introduction of the linear expenditure system and its application to British data by Stone (1954), followed by the differential demand system of Barten (1964) and Theil (1965, 1975176, 1980) and developments thereafter.
An authoritative survey with exciting new insights of special interest to economists and econometricians who analyse intertemporal and interspatial price relationships.' - Professor Angus Maddison, Groningen University This book presents a comprehensive review of recent developments in the theory and construction of index numbers using the stochastic approach, demonstrating the versatility of this approach in handling various index number problems within a single conceptual framework. It also contains a brief, but complete, review of the existing approaches to index numbers with illustrative numerical examples. The stochastic approach considers the index number problem as a signal extraction problem. The strength and reliability of the signal extracted from price and quantity changes for different commodities depends upon the messages received and the information content of the messages. The most important applications of the new approach are to be found in the context of measuring rate of inflation; fixed and chain base index numbers for temporal comparisons and for spatial intercountry comparisons; the latter generally require special index number formulae that result in transitive and base invariant comparisons.
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