Summary and Info
This is another good, modern textbook on parametric, cross-sectional econometrics (don't look for non/semi-parametric or time-series econometrics in here). It is, I think, in the same league as Wooldridge, which is however less technical and spends more time describing empirical applications. I think Ruud is a very nice addition to an econometric shelf. The notation is good, and the math/stat appendix is one of the best I have ever seen (the section on multivariate differentiation in particular is outstanding and very useful). Overall, if you want to have 3 *relatively* basic books on parametric cross-section econometrics, I think this is a good companion to Wooldridge and Cameron and Trivedi (a nice compendium of applied tools, which also includes some non-parametrics, for which the best introduction is likely Pagan and Ullah). If time-series is important to you, Hayashi is a good choice. As you may have guessed, I am not a big fan of Greene, which I do own but never look at.
More About the Author
Paula J Rudall (born 1954) is a British botanist, who is head of the Department of Comparative Plant and Fungal Biology at the Royal Botanic Gardens, Kew.
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