Teaching:

I have developed and currently teach two intermediate statistics courses for micro-spatial data (syllabi below).  I also co-teach an introductory course on econometrics (my online material).  Students gain a better understanding of the basic statistical concepts, and familiarity with incorporating economic theory in model development and interpretation, and competency with the latest programming tools in their labor market.

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, discussing 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).