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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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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