Maximum Entropy Econometrics: Robust Estimation with Limited Data (Record no. 1311)

000 -LEADER
fixed length control field 02636nam a2200289Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200115104103.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0-471-95311-3
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Golan, Amos
9 (RLIN) 1089
Personal name Judge, George G.
9 (RLIN) 1089
Personal name Miller, Douglas
9 (RLIN) 1090
245 #0 - TITLE STATEMENT
Title Maximum Entropy Econometrics: Robust Estimation with Limited Data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 1996
Name of publisher, distributor, etc. Wiley,
Place of publication, distribution, etc. Chichester [u.a.] ,
300 ## - PHYSICAL DESCRIPTION
Extent 307 pages
340 ## - PHYSICAL MEDIUM
Location within medium C4 23
490 ## - SERIES STATEMENT
Series statement Series in Financial Economics and Quantitative Analysis
520 ## - SUMMARY, ETC.
Summary, etc. In the theory and practice of econometrics the model, the methodand the data are all interdependent links in informationrecovery-estimation and inference. Seldom, however, are theeconomic and statistical models correctly specified, the datacomplete or capable of being replicated, the estimation rulesoptimal and the inferences free of distortion. Faced with theseproblems, Maximum Entropy Economeirics provides a new basis forlearning from economic and statistical models that may benon-regular in the sense that they are ill-posed or underdeterminedand the data are partial or incomplete. By extending the maximumentropy formalisms used in the physical sciences, the authorspresent a new set of generalized entropy techniques designed torecover information about economic systems. The authors compare thegeneralized entropy techniques with the performance of the relevanttraditional methods of information recovery and clearly demonstratetheories with applications including<br/>* Pure inverse problems that include first order Markov processes,and input-output, multisectoral or SAM models to<br/>* Inverse problems with noise that include statistical modelssubject to ill-conditioning, non-normal errors, heteroskedasticity,autocorrelation, censored, multinomial and simultaneous responsedata, as well as model selection and non-stationary and dynamiccontrol problems. - <br/><br/>Maximum Entropy Econometrics will be of interest to econometricianstrying to devise procedures for recovering information from partialor incomplete data, as well as quantitative economists in financeand business, statisticians, and students and applied researchersin econometrics, engineering and the physical sciences.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element econometrics
9 (RLIN) 3740
Topical term or geographic name entry element Generalized Maximum Entropy (GME)
9 (RLIN) 6417
Topical term or geographic name entry element general linear models
9 (RLIN) 6418
Topical term or geographic name entry element non-linear systems
9 (RLIN) 6419
Topical term or geographic name entry element statistical models
9 (RLIN) 6420
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.wiley.com/en-us/Maximum+Entropy+Econometrics%3A+Robust+Estimation+with+Limited+Data-p-9780471953111">https://www.wiley.com/en-us/Maximum+Entropy+Econometrics%3A+Robust+Estimation+with+Limited+Data-p-9780471953111</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-10-08 C4 23 48903 2019-10-08 2019-10-08 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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