Reddit Reddit reviews Unifying Political Methodology: The Likelihood Theory of Statistical Inference

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Unifying Political Methodology: The Likelihood Theory of Statistical Inference
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1 Reddit comment about Unifying Political Methodology: The Likelihood Theory of Statistical Inference:

u/jambarama ยท 2 pointsr/AskSocialScience

Beyond intermediate texts, my classes ended up just reading papers from econ journals. You may want to pick up an econometrics text, get familiar with the methods, then read papers (here is a list of the 100 most cited).

I wrote my opinions on econometric textbooks I've used for another reddit comment, so I just pasted it in below. If you get into it, I'd recommend reading a less rigorous book straight through, then using a more rigorous text as reference or to do the practice stuff.

Less Mathematically Rigorous

  • Kennedy - survey of modeling issues without the math. More about how to think about modeling rather than how do it. Easy to read, I liked it

  • Angrist - similar to Kennedy, covers the why & how econometrics answers questions, very little math. Each chapter starts with a hitchhikers guide to the galaxy quote, which is fun. Just as good as Kennedy

  • Long - this book is more about just "doing stuff" and presenting results, absolutely non-technical, but also dodges the heavy thinking in Angrist & Kennedy so I wasn't a big fan

  • King - covers the thinking of Angrist & content of Maddala. It is more accessible but wordier, so give it a go if Kennedy or Angrist are too much. It is aimed at Poli Sci rather than econ.

    Middle of the Road

  • Gujarati - I used this for a class. It wasn't hard to follow, but it mostly taught methodology and the how/why/when/what, and I didn't like that - a little too "push button" and slow moving.

  • Woodlridge - a bit more rigorous than Gujarati, but it was more interesting and was clearer about motivations from the standpoint of interesting problems

  • Cameron & Trivedi - I liked the few chapters I read, the math is there, but the methodology isn't driven by the math. I ddin't get too far into it

    More Mathematically Rigorous

  • Greene - lots of math, so much it was distracting for me, but probably good for people who really want to learn the methodology

  • Wooldridge - similar to Greene, you need a solid understanding before diving into this book. Some of the chapters are impenetrable

  • Maddala - this book is best for probit/logit/tobit models and is somewhat technical but dated. My best econometrics teacher loved it