Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel (Record no. 1768)

MARC details
000 -LEADER
fixed length control field 02137 a2200205 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190926160133.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190926b ||||| |||| 00| 0 eng d
020 00 - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521843195
040 ## - CATALOGING SOURCE
Transcribing agency IIMV
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 330.01518282 BAR
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Humberto Barreto
Relator term Author
9 (RLIN) 1232
245 0# - TITLE STATEMENT
Title Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel
Statement of responsibility, etc. by Humberto Barreto
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Cambridge University Press
Place of publication, distribution, etc. New York
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 774 pages:
Other physical details Illustrations;
Dimensions 26 cm.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Table of Contents<br/>1. Introduction<br/>Part I. Description:<br/>2. Correlation<br/>3. Pivot tables<br/>4. Computing regression<br/>5. Interpreting regression<br/>6. Functional form<br/>7. Multivariate regression<br/>8. Dummy variables<br/>Part II. Inference:<br/>9. Monte Carlo simulation<br/>10. Inferential statistics review<br/>11. Measurement box model<br/>12. Comparing two populations<br/>13. The classical econometric model<br/>14. The Gauss Markov theorem<br/>15. Understanding the standard error<br/>16. Hypothesis testing and confidence intervals<br/>17. F tests<br/>18. Omitted variable bias<br/>19. Heteroskedasticity<br/>20. Autocorrelation<br/>21. The series topics<br/>22. Dummy dependent variables<br/>23. Bootstrap<br/>24. Simultaneous equations
520 3# - SUMMARY, ETC.
Summary, etc. This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Howland, Frank M
9 (RLIN) 1233
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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Koha item type Book
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    Dewey Decimal Classification     Non-fiction Indian Institute of Management Visakhapatnam Indian Institute of Management Visakhapatnam General Stacks 09/26/2019 9 4.00 330.01518282 BAR 001211 09/28/2021 6493.49 09/26/2019 Book 1 1 09/27/2019
    Dewey Decimal Classification     Non-fiction Indian Institute of Management Visakhapatnam - Andhra University Indian Institute of Management Visakhapatnam - Andhra University General Stacks 09/26/2019 9 4.00 330.01518282 BAR 001212 09/26/2019 6493.49 09/26/2019 Book      

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