Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables PDF full book. Access full book title Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables by Charles Stockton Roehrig. Download full books in PDF and EPUB format.
Author: Charles Stockton Roehrig Publisher: Routledge ISBN: 1351140515 Category : Business & Economics Languages : en Pages : 146
Book Description
Originally published in 1984. This book brings together a reasonably complete set of results regarding the use of Constraint Item estimation procedures under the assumption of accurate specification. The analysis covers the case of all explanatory variables being non-stochastic as well as the case of identified simultaneous equations, with error terms known and unknown. Particular emphasis is given to the derivation of criteria for choosing the Constraint Item. Part 1 looks at the best CI estimators and Part 2 examines equation by equation estimation, considering forecasting accuracy.
Author: Charles Stockton Roehrig Publisher: Routledge ISBN: 1351140515 Category : Business & Economics Languages : en Pages : 146
Book Description
Originally published in 1984. This book brings together a reasonably complete set of results regarding the use of Constraint Item estimation procedures under the assumption of accurate specification. The analysis covers the case of all explanatory variables being non-stochastic as well as the case of identified simultaneous equations, with error terms known and unknown. Particular emphasis is given to the derivation of criteria for choosing the Constraint Item. Part 1 looks at the best CI estimators and Part 2 examines equation by equation estimation, considering forecasting accuracy.
Author: Charles Stockton Roehrig Publisher: Routledge ISBN: 1351140507 Category : Business & Economics Languages : en Pages : 107
Book Description
Originally published in 1984. This book brings together a reasonably complete set of results regarding the use of Constraint Item estimation procedures under the assumption of accurate specification. The analysis covers the case of all explanatory variables being non-stochastic as well as the case of identified simultaneous equations, with error terms known and unknown. Particular emphasis is given to the derivation of criteria for choosing the Constraint Item. Part 1 looks at the best CI estimators and Part 2 examines equation by equation estimation, considering forecasting accuracy.
Author: Various Publisher: Routledge ISBN: 1351140116 Category : Business & Economics Languages : en Pages : 5228
Book Description
Reissuing works originally published between 1929 and 1991, this collection of 17 volumes presents a variety of considerations on Econometrics, from introductions to specific research works on particular industries. With some volumes on models for macroeconomics and international economies, this is a widely interesting set of economic texts. Input/Output methods and databases are looked at in some volumes while others look at Bayesian techniques, linear and non-linear models. This set will be of use to those in industry and business studies, geography and sociology as well as politics and economics.
Author: Publisher: ISBN: Category : Economics Languages : en Pages : 946
Book Description
Includes annual List of doctoral dissertations in political economy in progress in American universities and colleges; and the Hand book of the American Economic Association.
Author: Karl G. Jöreskog Publisher: Springer ISBN: 3319331531 Category : Mathematics Languages : en Pages : 561
Book Description
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.
Author: Publisher: ISBN: Category : Dissertations, Academic Languages : en Pages : 808
Book Description
Vols. for 1973- include the following subject areas: Biological sciences, Agriculture, Chemistry, Environmental sciences, Health sciences, Engineering, Mathematics and statistics, Earth sciences, Physics, Education, Psychology, Sociology, Anthropology, History, Law & political science, Business & economics, Geography & regional planning, Language & literature, Fine arts, Library & information science, Mass communications, Music, Philosophy and Religion.
Author: Peter Congdon Publisher: John Wiley & Sons ISBN: 1118895053 Category : Mathematics Languages : en Pages : 464
Book Description
This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.
Author: Charles Stockton Roehrig
Author: Charles Stockton Roehrig
Author: Charles Stockton Roehrig
Author: Various
Author: 
Author: 
Author: Karl G. Jöreskog
Author: 
Author: 
Author: 
Author: Peter Congdon