Nonparametric Econometrics: Theory and Practice (Record no. 1395)

000 -LEADER
fixed length control field 02421nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191105132645.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0-691-12161-3
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Li, Qi
9 (RLIN) 3926
Personal name Racine, Jeffrey Scott
9 (RLIN) 3927
245 #0 - TITLE STATEMENT
Title Nonparametric Econometrics: Theory and Practice
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2007
Name of publisher, distributor, etc. Princeton University Press,
Place of publication, distribution, etc. Princeton, N.J.,
300 ## - PHYSICAL DESCRIPTION
Extent 746 pages
340 ## - PHYSICAL MEDIUM
Location within medium C2 81
520 ## - SUMMARY, ETC.
Summary, etc. Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format. The empirical tests, data, and exercises included in this textbook help make it the ideal introduction for graduate students and an indispensable resource for researchers.<br/><br/>Nonparametric and semiparametric methods have attracted a great deal of attention from statisticians in recent decades. While the majority of existing books on the subject operate from the presumption that the underlying data is strictly continuous in nature, more often than not social scientists deal with categorical data — nominal and ordinal — in applied settings. The conventional nonparametric approach to dealing with the presence of discrete variables is acknowledged to be unsatisfactory.<br/><br/>This book is tailored to the needs of applied econometricians and social scientists. Qi Li and Jeffrey Racine emphasize nonparametric techniques suited to the rich array of data types — continuous, nominal, and ordinal — within one coherent framework. They also emphasize the properties of nonparametric estimators in the presence of potentially irrelevant variables.<br/><br/>Nonparametric Econometrics covers all the material necessary to understand and apply nonparametric methods for real-world problems.<br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element econometrics
9 (RLIN) 3928
Topical term or geographic name entry element applied econometrics
9 (RLIN) 5478
Topical term or geographic name entry element social sciences
9 (RLIN) 571
Topical term or geographic name entry element data analysis
9 (RLIN) 1118
Topical term or geographic name entry element nonparametric econometrics
9 (RLIN) 3768
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term textbook
9 (RLIN) 5204
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://press.princeton.edu/books/hardcover/9780691121611/nonparametric-econometrics">https://press.princeton.edu/books/hardcover/9780691121611/nonparametric-econometrics</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 C2 81 105699 2019-10-08 2019-10-08 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

Powered by Koha