Statistics and Econometrics: Methods and ApplicationsEvery major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics. |
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Contents
Contents | 1 |
Basic Probability Theory | 9 |
3 You Gotta Relent If its 95 Percent | 22 |
Copyright | |
39 other sections not shown
Common terms and phrases
alternative APPLICATION approach associated assume assumptions average B₁ basic calculate called Chapter coefficients conduct consider constant continuous correlation defined density function dependent variable derived determine distribution earnings economic effect equal equation error error term estimate event example expected experiment explanatory variables fact function given height income increase independent indicates individual interested least squares less linear measure method Note Notice null hypothesis observations occur outcomes parameters particular period population possible predicted probability probability distribution problem properties random variable regression model reject relationship represents sample mean selected simply slope specific standard standard deviation statistic Suppose Table tion trial true Type unbiased unit vari variance wages wine Y₁ yields zero σχ
Bibliographic information
| Title | Statistics and Econometrics: Methods and Applications |
| Authors | Orley Ashenfelter, Phillip B. Levine, David J. Zimmerman |
| Edition | illustrated |
| Publisher | Wiley, 2003 |
| Original from | the University of Michigan |
| Digitized | Dec 10, 2009 |
| ISBN | 0471107875, 9780471107873 |
| Length | 300 pages |
| Subjects | › › Business & Economics / Econometrics Business & Economics / Economics / General |
| Export Citation | BiBTeX EndNote RefMan |