There has been quite a bit of criticism directed at the tools and techniques that macroeconomists use, e.g. criticism of dynamic stochastic general equilibrium (DSGE) models, but that criticism is misplaced. The tools and techniques that macroeconomists use are developed to answer specific questions. If we ask the right questions, then we will find the tools and techniques needed to answer them.
The problem with macroeconomics is not that it has become overly mathematical – it is not the tools and techniques we use to answer questions. The problem is the sociology within the economics profession that prevents some questions from being asked. Why, for example, were the very questions we needed to ask prior to the Great Recession ridiculed by important voices within the profession?Since I didn't start studying economics until the Great Recession was in full swing, I don't have a full perspective on "new economic thinking" compared to old, or on what it was like to be in the economics profession prior to the Recession. I only gain second-hand perspective through reading and through studying economic history (which at Berkeley, coincidentally, is largely supported by the Institute for New Economic Thinking). Thoma's article was prompted by the Rethinking Economics conference, but for me, I'm still learning how to think economics, much less rethink it.
One course that was particularly helpful in shaping my economic thinking was an elective on Empirical Macrofinance taught by Atif Mian. He made a point on one of the first days of class that really stood out. He told us not to see what questions we could answer with the data we have, but rather, to start with the question, and then think about what data we needed to answer it. More often than not, we'd need microdata. Not a problem! We are not in a data-scarce environment!
Mian's work with Amir Sufi on the role of household debt in the Great Recession is a great example of both his point and Thoma's point: start with the question, then choose your tools, techniques, and data. I realize this is easier said than done (trust me, I really do, after spending the last few years trying to implement it in my dissertation), but to me, that's just economic thinking.
Speaking of my dissertation, I'm preparing to go on the job market this year, which is why the blogging has been a bit less frequent! While the preparation is a lot of work, I am fortunate to be very enthusiastic about my research, because I did start with questions I care about, so working on it is a joy, even if it takes away blogging time. Eventually I will blog about my research, just not quite yet.