Teaching:

Currently,  I teach introductory courses on econometrics (textbook online).  Students in this sequence gain a better understanding of basic statistical concepts, familiarity with incorporating economic theory in model development and interpretation, and competency with the latest programming tools for their labor market. I have also previously developed and taught two intermediate econometrics courses for micro-spatial data.

Broadly, I advocate a more unified approach to econometrics for three main reasons. First, results are less likely to be spurious when disparate data analyses point in the same direction (the principle of consilience popularized by E.O. Wilson).  Second, the exchange of ideas and results across domains is a necessary condition for specialization to be advantageous. Third, using diverse methods instead of recipes makes it easier to adhere to the notion that it is ``Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise'' (J. Tukey).