Links: Learning Econometrics; Conflict Data; BITs and Corruption

A quick couple of links to start the week:

Ani Katchova offers free web-based materials to learn econometrics.  A lot of it looks to be relevant for political science applications. The Econometrics Academy also provides a good intro to different statistical software packages. If you’re interested in stats but have some gaps to fill, check it out! (via Phil Arena)

Speaking of large-n data analysis, I just saw this piece by Alex Hanna et al. in which they compare codings of conflict events from the GDELT project to another, hand-coded database:

After the recent controversy about GDELT, this seems to be another reason to avoid working with that source until we know more.

A great example of unintended consequences and the fascinating situations that can result from overlapping and conflicting bits of international law: “Do Investment Arbitration Treaty Rules Encourage Corruption?”

[S]tates in investment treaty arbitration can escape liability by proving that the aggrieved investor engaged in corrupt activities in connection to the investment under dispute–even if senior state officials were full participants in the corrupt transaction. That being the case, states that receive inbound foreign investment have a perverse incentive to tolerate corruption in the officials who deal with foreign investors, because that corruption may help shield states from legal liability should the state subsequently renege on its agreement with the investor.

Fluffy bonus link if you made it this far: I have a feeling that many grad students will recognize “The 5 Top Traits of the Worst Advisors” … (and make sure to scroll down, because there is a #6).

About Mathis Lohaus

Political scientist (postdoc) at Freie Universität Berlin. For more information please visit my website. I'm interested in international organizations, norm and policy diffusion, the politics of anti-corruption, and global IR / sociology of science. Always trying to learn new things.

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