Lecture Notes in Economics and Mathematical Systems Ser.: Misspecification Analysis : Proceedings, Groningen, the Netherlands 1983 by Theo K. Dijkstra (1984, Trade Paperback)

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About this product

Product Identifiers

PublisherSpringer Berlin / Heidelberg
ISBN-103540138935
ISBN-139783540138938
eBay Product ID (ePID)150671393

Product Key Features

Number of PagesVI, 134 Pages
Publication NameMisspecification Analysis : Proceedings, Groningen, the Netherlands 1983
LanguageEnglish
Publication Year1984
SubjectEconometrics, Statistics
TypeTextbook
Subject AreaBusiness & Economics
AuthorTheo K. Dijkstra
SeriesLecture Notes in Economics and Mathematical Systems Ser.
FormatTrade Paperback

Dimensions

Item Weight9 Oz
Item Length9.6 in
Item Width6.7 in

Additional Product Features

Intended AudienceScholarly & Professional
Series Volume Number237
Number of Volumes1 vol.
IllustratedYes
Table Of ContentMaximum likelihood estimation of misspecified dynamic models.- The geometry of model selection in regression.- Misspecification and the choice of estimators, a heuristic approach.- Discrete normal linear regression models.- Specification in simultaneous linear equations models: the relation between a priori specifications and resulting estimators.- Measurement error and endogeneity in regression: bounds for ML and 2SLS estimates.- Testing parameter constancy of linear regressions.- Prediction performance and the number of variables in multivariate linear regression.
SynopsisThis volume collects papers prepared for the workshop '~isspecification Ana­ lysis" held in Groningen. The Netherlands. December 15th and 16th. 1983. The papers. which cover a wide range of problems. contain a number of interesting and fruitful ideas. A bird's-eye view of the contents of the papers is as follows: White describes in a very general setting properties of classical statistical procedures when models are misspecified. Verbeek provides a lucid analysis of the statistical complexity of the model selection process. Dijkstra indicates how to construct good estimators. taking the possibility of misspecification explicitly into account. Taking the view that measured variables are never continuous. De Leeuw dis­ cusses in an illuminating way whether. and how. the discreteness of the data should and can be taken more seriously. Starting from the thesis that models are at best useful approximations of reality. Van ~ag and Koster derive properties of estimators determining best fitting hyperplanes. Within the context of the errors-in-variables problem. Bekker, Xapteyn and Wansbeek provide an elegant description of the variation in estimation re­ sults due to part of the modelspecification varying, while estimators are .adjusted so as to keep them consistent. Bierens develops consistent tests of the hypothesis of parameter constancy against extremely diffuse alternatives., This volume collects papers prepared for the workshop ' isspecification Ana- lysis" held in Groningen. The Netherlands. December 15th and 16th. 1983. The papers. which cover a wide range of problems. contain a number of interesting and fruitful ideas. A bird's-eye view of the contents of the papers is as follows: White describes in a very general setting properties of classical statistical procedures when models are misspecified. Verbeek provides a lucid analysis of the statistical complexity of the model selection process. Dijkstra indicates how to construct good estimators. taking the possibility of misspecification explicitly into account. Taking the view that measured variables are never continuous. De Leeuw dis- cusses in an illuminating way whether. and how. the discreteness of the data should and can be taken more seriously. Starting from the thesis that models are at best useful approximations of reality. Van ag and Koster derive properties of estimators determining best fitting hyperplanes. Within the context of the errors-in-variables problem. Bekker, Xapteyn and Wansbeek provide an elegant description of the variation in estimation re- sults due to part of the modelspecification varying, while estimators are .adjusted so as to keep them consistent. Bierens develops consistent tests of the hypothesis of parameter constancy against extremely diffuse alternatives.
LC Classification NumberHB139-141
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