UID:
almafu_9959231173502883
Umfang:
1 online resource (xxiii, 774 pages) :
,
digital, PDF file(s).
ISBN:
1-107-71379-X
,
1-280-28419-6
,
0-511-80923-9
,
0-511-13433-9
,
0-511-20139-7
,
0-511-13717-6
,
0-511-56752-9
,
0-511-13500-9
Inhalt:
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.
Anmerkung:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
1. Introduction; Part I. Description: 2. Correlation; 3. Pivot tables; 4. Computing regression; 5. Interpreting regression; 6. Functional form; 7. Multivariate regression; 8. Dummy variables; Part II. Inference: 9. Monte Carlo simulation; 10. Inferential statistics review; 11. Measurement box model; 12. Comparing two populations; 13. The classical econometric model; 14. The Gauss Markov theorem; 15. Understanding the standard error; 16. Hypothesis testing and confidence intervals; 17. F tests; 18. Omitted variable bias; 19. Heteroskedasticity; 20. Autocorrelation; 21. The series topics; 22. Dummy dependent variables; 23. Bootstrap; 24. Simultaneous equations.
,
English
Weitere Ausg.:
ISBN 0-521-84319-7
Sprache:
Englisch
URL:
https://doi.org/10.1017/CBO9780511809231
URL:
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URL:
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