ABSTRACT
One of the pleasures of laboratory methods is that good experimental design makes for simple and clean data analysis. Happenstance data often require advanced econometric techniques to scrub away things like multi-collinearity, heteroskedasticity, endogeneity of explanatory variables, etc. But analyzing data from a well-designed experiment normally needs only basic and simple techniques. This chapter will cover the basic techniques that we have found most useful. Some of them are very familiar to economists and some are less familiar, but all of them are straightforward.
