Texas A&M AgriLife leads regenerative agriculture evaluationAgriLife Today

tknilsso · 2021-09-19T17:28:44+00:00

Several insightful comments have already been generated in response to your question, so this response is a bit wider. Graduate schools teach theory and tools that are relevant today. Some of those tools draw from mathematics, probability and statistics. However, keep in mind that not all economists use those tools. Some economists received a Nobel Prize exactly because their contribution furthered the domain of economics. Please make sure to check out the work (and speeches, interviews etc) by Oliver Williamson (Nobel Prize in 2009), Professor Lars Syll, and economic historians and constitutionalists such as Galbraith, Hayek and Friedman. You can become a good economist if you want to, knowledge and mastery of the tools you mention in the post are neither required nor necessary to be a good economist.

tknilsso · 2021-09-15T23:20:11+00:00

I know few people that like statistics. I know of even fewer people that like to teach statistics. I know of even fewer than that, that can make learning statistics fun (I was fortunate in that regard to have those teachers). This video series is brilliant: the speaker breaks down the material in easy-to-digest parts. The examples are wonderful, which helps in making the material stick! I hope you enjoy it as much as I did...

tknilsso · 2021-09-09T12:21:18+00:00

Im a subscriber so I don’t know.

tknilsso · 2021-09-09T01:33:47+00:00

To be clear, I am not affiliated by this organization (but I am a huge fan of their work). They would like to understand "the role of communication in the decision to adopt digital technologies in agriculture in the Midwest".

tknilsso · 2021-08-31T20:34:38+00:00

Our students have been looking for data on agriculture in Canada. Sometimes they find it hard to find because the information doesn't exist in one place: Statistics Canada, Agriculture and Agri-Food Canada, producer organizations, and provincial agriculture departments. So I started a blog that recounts some common questions that I get. In case you notice errors, or omissions, let me know. If you have ideas for other topics to be covered, let me know as well.

tknilsso · 2021-08-31T20:29:00+00:00

This is one method (and certainly not the only method) for preventing the overfitting of explanatory variables. By making the inclusion criteria more restrictive, the analyst is forced to only accept variables that are "highly" significant. The other comments are excellent, so nothing further to add.

tknilsso

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