Estimation of the Coefficients in a Multidimensional Distributed Lag Model PDF Download
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Author: Grace Wahba
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 12
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Book Description
Author: Grace Wahba
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 12
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Book Description
Author: Melvin J. Hinich
Publisher:
ISBN:
Category :
Languages : en
Pages : 23
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Book Description
Estimating the distributed lag coefficients (h(mTAU)) from a sample of the two processes when (x(NTAU)) and (y(nTAU)) are measured with error is a statistical problem that is frequently encountered in physical science, engineering, and social science applications. In the engineering and science literature the distributed lags are called the impulse response weights of a causal linear filter. A least squares fit of the model gives biased estimates of the coefficients for this time series version of the errors-in-variables problem. This paper presents approximately unbiased estimators of a scalar multiple of the coefficients. (Author).
Author: S. S. Thurman
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 46
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Book Description
Author: Jan Kmenta
Publisher: Academic Press
ISBN: 1483267342
Category : Business & Economics
Languages : en
Pages : 425
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Book Description
Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.
Author: Edward James Hannan
Publisher: John Wiley & Sons
ISBN: 0470317132
Category : Mathematics
Languages : en
Pages : 552
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Book Description
The Wiley Series in Probability and Statistics is a collection of topics of current research interests in both pure and applied statistics and probability developments in the field and classical methods. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.
Author: Phoebus J. Dhrymes
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 446
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Book Description
Author: E. Parzen
Publisher: Springer Science & Business Media
ISBN: 1468494031
Category : Mathematics
Languages : en
Pages : 372
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Book Description
With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data during the period February 10-13, 1983. The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields. Attendance was limited to actively involved researchers. This volume contains refereed versions of the papers presented at the Symposium. We would like to express our appreciation to the many colleagues and staff members whose cheerful help made the Symposium a successful happening which was enjoyed socially and intellectually by all participants. I would like to especially thank Dr. Donald W. Marquardt whose interest led me to undertake to organize this Symposium. This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series. r:;) \J Picture Caption Participants in Symposium on Time Series Analysis of Irregularly Observed Data at Texas A&M University, College Station, Texas, February 10-13, 1983 First Row: Henry L. Gray, D. W. Marquardt, P. M. Robinson, Emanuel Parzen, Julia Abrahams, E. Masry, H. L. Weinert, R. H. Shumway.
Author: Mario Arturo Ruiz Estrada
Publisher:
ISBN:
Category :
Languages : en
Pages : 10
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Book Description
This paper attempts to describe the graphical behavior of the distributed lag model in an infinite coordinate space. The “mega distributed lag model” (MDL) is a mathematical framework that can examine the simultaneous interrelationships between all involved variables. The multidimensional graphical setting simultaneously reveals all non-linear exposure -- response dependencies and delayed effects between lagged and dependent variables -- which two-dimensional figures overwhelmingly fail to capture. Under the Omnia Mobilis assumption, each distribution lag function is indexed with respect to time and space. The Mega distributed lag model observes multiple trends in full motion, the final output (determinant) of which is called “the JIM-coefficient”. Hence, this paper tries to analyze different approaches of lag distribution models that can help in the construction of our new model. The mega distributed lag model” (MDL) is moving from the uses of the classic 2-dimensional and 3-dimensional graphical modeling to a multidimensional graphical modeling in Econometrics. Finally, this model is an extension of those explored earlier in the field of econographicology.
Author: Hwa-sheng Yang
Publisher:
ISBN:
Category : Transfer functions
Languages : en
Pages : 276
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Book Description
Author: Ronald J. Wonnacott
Publisher: New York ; Toronto : Wiley
ISBN:
Category : Business & Economics
Languages : en
Pages : 616
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Book Description
Econometrics uses a two-part format designed for an introductory course followed by a more advanced treatment. Part I is a simple presentation of important statistical concepts; difficult interpretations and developments are provided in footnotes, starred sections, and corresponding chapters in Part II, allowing for a good appreciation of main problems without any loss of continuity in presentation. Part II requires calculus, matrix algebra, and vector geometry; chapters correspond to Part I and cover topics in greater depth. This edition now covers Box/Jenkins time series analysis, Almon lags, cross-spectral analysis, treatment of serial correlation in both the error and dependent variable, principle components, and more recent simultaneous equation techniques such as SOIV, LIVE, and FIVE.
