Empirical Demand Systems

Empirical Demand Systems
Author: Tesfaye Teklu
Publisher:
Total Pages: 20
Release: 1992
Genre: Consumption (Economics)
ISBN:

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Empirical Analytics of Demand Systems

Empirical Analytics of Demand Systems
Author: Alan A. Powell
Publisher: Lexington, Mass : Lexington Books
Total Pages: 184
Release: 1974
Genre: Consumption (Economics)
ISBN:

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Demand System Specification and Estimation

Demand System Specification and Estimation
Author:
Publisher:
Total Pages: 234
Release: 1992
Genre: Consumer behavior
ISBN: 0195356438

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This study of demand analysis links economic theory to empirical analysis. It demonstrates how theory can be used to specify equation systems suitable for empirical analysis, and discusses demand systems estimation using both per capita time series and household budget data.

Demand Systems Estimation

Demand Systems Estimation
Author: Stanley R. Johnson
Publisher: Ames : Iowa State University Press
Total Pages: 200
Release: 1984
Genre: Business & Economics
ISBN:

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Market Interrelationships and Applied Demand Analysis

Market Interrelationships and Applied Demand Analysis
Author: Michael K. Wohlgenant
Publisher: Palgrave Macmillan
Total Pages: 230
Release: 2021-06-29
Genre: Business & Economics
ISBN: 9783030731434

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This textbook addresses the core issues facing economists concerning price determination in commodity markets, especially food and agricultural commodities. This book hones in on the conceptual basis of the various relationships, with special emphasis on market interrelationships, both horizontally and vertically. This book covers key concepts such as consumer demand theory; quality, heterogeneous goods, and cross section demand; derived demand, marketing margins, and relationship between output and raw material prices; retail-to-farm demand linkages, imperfect competition, and short-run price determination; dynamic consumer demand; and dynamic models of the firm. What makes this textbook of particular use to students is its focus on bridging the gap between theory and empirical analysis. Going from theory to empirics requires that we have data—time series or cross section—that match the theoretical constructs. Often the data match is not perfect, either by definition or how the data are computed. In addition to problems of matching data with theoretical constructs, students and researchers need to know how to specify, estimate, and interpret results within the context of imperfect and often incomplete data. This textbook uses several data sets to illustrate how one might address problems in real-world settings. Furthermore, with exercises at the end of each chapter, students are able to test themselves on their ability to bring theory to life.