國立高雄大學圖資館 |

Language: English

Back

Introductory econometrics

Dhrymes, Phoebus.

Introductory econometrics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introductory econometricsby Phoebus Dhrymes.
Author:	Dhrymes, Phoebus.
Published:	Cham :Springer International Publishing :2017.
Description:	xvi, 626 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Economics, Mathematical.
Online resource:	http://dx.doi.org/10.1007/978-3-319-65916-9
ISBN:	9783319659169$q(electronic bk.)

Introductory econometrics
Dhrymes, Phoebus.

Introductory econometrics[electronic resource] /by Phoebus Dhrymes. - Cham :Springer International Publishing :2017. - xvi, 626 p. :ill., digital ;24 cm.

Chapter 0: Introduction -- Chapter 1: General Linear Model I -- Chapter 2: General Methods of Estimation -- Chapter 3: General Linear Model II -- Chapter 4: The General Linear Model III -- Chapter 5: The General Linear Model IV -- Chapter 6: Misspecification and Errors in Variables -- Chapter 7: Discreet Choice Model: Logit and Probit Analysis -- Chapter 8: Simultaneous Equations Models and the Identification Problem -- Chapter 9: Time Series I -- Chapter 10: Time Series II -- Chapter 11: Nonparametric Methods -- Chapter 12: Review of Basic Probability and Statistics.

This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly updated to address the developments in the field that have occurred since the original publication of this classic text, the second edition has been expanded to include two chapters on time series analysis and one on nonparametric methods. Discussions on covariance (including GMM), partial identification, and empirical likelihood have also been added. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. This book is intended for upper undergraduate and first year graduate courses in economics and statistics and also has applications in mathematics and some social sciences where a reasonable knowledge of matrix algebra and probability theory is common. It is also ideally suited for practicing professionals who want to deepen their understanding of the methods they employ. Also available for the new edition is a solutions manual, containing answers to the end-of-chapter exercises.

ISBN: 9783319659169$q(electronic bk.)

Standard No.: 10.1007/978-3-319-65916-9doiSubjects--Topical Terms:

182903
Economics, Mathematical.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Introductory econometrics
LDR:02653nmm a2200313 a 4500 001 525133
003 DE-He213
005 20180515101843.0
006 m d
007 cr nn 008maaau
008 180904s2017 gw s 0 eng d
020 $a 9783319659169$q(electronic bk.)
020 $a 9783319659145$q(paper)
024 7 $a 10.1007/978-3-319-65916-9 $2 doi
035 $a 978-3-319-65916-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HB139
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
082 0 4 $a 330.015195 $2 23
090 $a HB139 $b .D535 2017
100 1 $a Dhrymes, Phoebus. $3 797230
245 1 0 $a Introductory econometrics $h [electronic resource] / $c by Phoebus Dhrymes.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvi, 626 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 0: Introduction -- Chapter 1: General Linear Model I -- Chapter 2: General Methods of Estimation -- Chapter 3: General Linear Model II -- Chapter 4: The General Linear Model III -- Chapter 5: The General Linear Model IV -- Chapter 6: Misspecification and Errors in Variables -- Chapter 7: Discreet Choice Model: Logit and Probit Analysis -- Chapter 8: Simultaneous Equations Models and the Identification Problem -- Chapter 9: Time Series I -- Chapter 10: Time Series II -- Chapter 11: Nonparametric Methods -- Chapter 12: Review of Basic Probability and Statistics.
520 $a This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly updated to address the developments in the field that have occurred since the original publication of this classic text, the second edition has been expanded to include two chapters on time series analysis and one on nonparametric methods. Discussions on covariance (including GMM), partial identification, and empirical likelihood have also been added. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. This book is intended for upper undergraduate and first year graduate courses in economics and statistics and also has applications in mathematics and some social sciences where a reasonable knowledge of matrix algebra and probability theory is common. It is also ideally suited for practicing professionals who want to deepen their understanding of the methods they employ. Also available for the new edition is a solutions manual, containing answers to the end-of-chapter exercises.
650 0 $a Economics, Mathematical. $3 182903
650 0 $a Statistics. $3 182057
650 0 $a Econometrics. $3 182271
650 1 4 $a Economics. $3 175999
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 274062
650 2 4 $a Quantitative Finance. $3 274071
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-65916-9
950 $a Economics and Finance (Springer-41170)