480 p. Contributions to Economic Analysis. Audience: General/trade. This volume presents an analysis of the estimation of distributed lag models. It covers the algebraic structure of lag operators and examines the estimation of problems connected with finite and infinite lag structures, under a variety of assumptions pertaining to the error process. This revised edition emphasizes the potential applications of distributed lags, discussing the polynomial lag hypothesis and its relation to restricted least squares. Also, the test for autocorrelation of the error structure, when the model specification contains a lagged endogenous variable, is examined. The material is suitable for second-year graduate students in economics, and for undergraduates in statistics, mathematics, operations research, econometrics and electrical engineering, providing they have a background in calculus, linear algebra and mathematical statistics. Very good. light shelfwear, previous owner name on first page,

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Bibliographic Details

Title: Distributed Lags: Problems of Estimation and Formulation
Publisher: North-Holland, Amsterdam, Netherlands
Publication Date: 1981
Language: English
ISBN 10: 0444860134
ISBN 13: 9780444860132
Binding: Hard cover
Edition: 2nd Rev ed.

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This volume presents an analysis of the estimation of distributed lag models. It covers the algebraic structure of lag operators and examines the estimation of problems connected with finite and infinite lag structures, under a variety of assumptions pertaining to the error process. This revised edition emphasizes the potential applications of distributed lags, discussing the polynomial lag hypothesis and its relation to restricted least squares. Also, the test for autocorrelation of the error structure, when the model specification contains a lagged endogenous variable, is examined. The material is suitable for second-year graduate students in economics, and for undergraduates in statistics, mathematics, operations research, econometrics and electrical engineering, providing they have a background in calculus, linear algebra and mathematical statistics.

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