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The Linear Regression Model Under Test

✍ Scribed by Professor Dr. Walter KrÀmer, Dr. Harald Sonnberger (auth.)


Publisher
Physica-Verlag Heidelberg
Year
1986
Tongue
English
Leaves
194
Edition
1
Category
Library

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✦ Synopsis


This monograph grew out of joint work with various dedicated colleagues and students at the Vienna Institute for Advanced Studies. We would probably never have begun without the impetus of Johann Maurer, who for some time was the spiritus rector behind the Institute's macromodel of the Austrian economy. Manfred Deistler provided sustained stimulation for our research through many discussions in his econometric research seminar. Similar credits are due to Adrian Pagan, Roberto Mariano and Garry Phillips, the econometrics guest professors at the Institute in the 1982 - 1984 period, who through their lectures and advice have contributed greatly to our effort. Hans SchneeweiB offered helpful comments on an earlier version of the manuscript, and Benedikt Poetscher was always willing to lend a helping . hand when we had trouble with the mathematics of the tests. Needless to say that any errors are our own. Much of the programming for the tests and for the Monte Carlo experiments was done by Petr Havlik, Karl Kontrus and Raimund Alt. Without their assistance, our research project would have been impossible. Petr Havlik and Karl Kontrus in addition. read and criticized portions of the manuscript, and were of great help in reducing our error rate. Many of the more theoretical results in this monograph would never have come to light without the mathematical expertise of Werner Ploberger, who provided most of the statistical background of the chapter on testing for structural change . .

✦ Table of Contents


Front Matter....Pages I-IX
Introduction....Pages 1-2
Technical Preliminaries....Pages 3-16
Testing Disturbances....Pages 17-42
Testing Regressors....Pages 43-109
Unifying Themes....Pages 111-121
Diagnostic Checking in Practice....Pages 123-155
Back Matter....Pages 157-190

✦ Subjects


Probability Theory and Stochastic Processes


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