As you may recall, Bill Henderson and I had a couple of posts expounding the virtues of the Sage monograph series on "Quantitative Applications in the Social Sciences" several weeks back. It is a great starter series (though expensive for the whole thing) for anyone looking to enter empirical research with or without a quantitative background. The library here at Minnesota has asked me to help build the collection of empirical and quantitative resource materials, and I am wondering whether anyone has any suggestions about "must have" books in the area? I have already recommended that the library order a number of selections, including from the Sage Series, but I don't want to miss any important books in the field. Your comments, as always, are most welcome.
Economics Of Contract Law Edited by Douglas G. Baird (Edward Elgar 2007)
At $275.00 retail, this collection of previously published articles is not exactly priced for the individual book buyer, but check out the library's copy for Baird's introduction to the topic and his selection of greatest hits.
The publisher's listing is here. The table of contents is after the break.
I would like to first thank Jason and the rest of the ELS crew for inviting me as a guest blogger this week. I hope to get my first substantive post up tomorrow about my thoughts on interdisciplinary legal scholarship, but I would first like to second Bill's observation about the quality and helpfulness of Sage's Quantitative Applications in the Social Sciences series. For novice researchers trying to understand basic concepts relating to both linear and multivariate regression, I recommend Larry Schroeder's Understanding Regression Analysis monograph. For a slightly more advanced examination of regression, Michael Lewis Beck's Applied Regression monograph is also a wonderful resource. A number of the other papers deal with the nuances of descriptive statistics, such as Peter Chen's Correlation and Michael Lewis Beck's Data Analysis monographs.
Although there are no doubt a number of useful resources for empirical researchers, I find the offerings in the Sage series to be among the best and most diverse. A researcher that has questions about confidence intervals, for example, can turn to a Sage monograph focused solely on that subject. I have encouraged our librarians at the University of Minnesota to purchase a number of the offerings from Sage as I think they are an indispensable (and perhaps underutilized) tool for methodologically rigorous empirical scholarship.
While purchasing these books, I also bought another Sage monograph, Tim Hagle, Basic Math for Social Scientists: Concepts (1996), which arrived this morning. As I have gotten deeper into empirical work, I really want to fully understand the math that is driving the Stata and SPSS regression models and diagnostic tools.
Fortunately, this little book by Hagle (who is a lawyer and a political scientist) turns out to be the book that I was one day hoping to find: a quick, nuts & bolts discussion of the important math concepts that underlie probability and multivariate regression: algebra review of exponents and logarithms, limits and continuity, differential and integral calculus (which I have forgotten from college), matrix algebra, and eigenvalues and eigenvectors. It also has a handy summary of math symbols and expressions. I am very happy with this purchase.
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