Daily Tao – Good Economics for Hard Times (Abhijit V. Banerjee;Esther Duflo) – 1

We don’t for a moment believe that when economists and the public have different views, economists are always right. We, the economists, are often too wrapped up in our models and our methods and sometimes forget where science ends and ideology begins. We answer policy questions based on assumptions that have become second nature to us because they are the building blocks of our models, but it does not mean they are always correct. But we also have useful expertise no one else has. The (modest) goal of this book is to share some of this expertise and reopen a dialogue about the most urgent and divisive topics of our times. For that, we need to understand what undermines trust in economists. A part of the answer is that there is plenty of bad economics around. Those who represent the “economists” in the public discourse are not usually the same people who are part of the IGM Booth panel. The self-proclaimed economists on TV and in the press—chief economist of Bank X or Firm Y—are, with important exceptions, primarily spokespersons for their firms’ economic interests who often feel free to ignore the weight of the evidence. Moreover, they have a relatively predictable slant toward market optimism at all costs, which is what the public associates with economists in general. Unfortunately, in terms of how they look (suit and tie) or the way they sound (lots of jargon), the talking heads are hard to tell apart from academic economists. The most important difference is perhaps in their willingness to pronounce and predict, which unfortunately makes them all the more authoritative. But they actually do a pretty poor job of predicting, in part because predictions are often well-nigh impossible, which is why most academic economists stay away from futurology. One of the jobs of the International Monetary Fund (IMF) is to forecast the rate of growth of the world economy in the near future. Without a whole lot of success, one might add, despite its team of many very well-trained economists. The Economist magazine once computed just how far the IMF’s forecasts were off on average over the period 2000–2014.12 For two years from the time of prediction (say, the growth rate in 2014 predicted in 2012), the average forecast error was 2.8 percentage points. That’s somewhat better than if they had chosen a random number between–2 percent and 10 percent every year, but about as bad as just assuming a constant growth rate of 4 percent. We suspect these kinds of things contribute substantially to the general skepticism of economics. Another big factor that contributes to the trust gap is that academic economists hardly ever take the time to explain the often complex reasoning behind their more nuanced conclusions. How did they parse through the many possible alternative interpretations of the evidence? What were the dots, often from different domains, they had to connect to reach the most plausible answer? How plausible is it? Is it worth acting upon, or should we wait and see? Today’s media culture does not naturally allow a space for subtle or long-winded explanations. Both of us have had to wrangle with TV anchors to tell our full story (often to have it edited out of what gets shown), so we recognize why academic economists are often unwilling to take on the responsibility of speaking out. It takes a lot of effort to be heard properly, and there is always the risk of sounding half-baked or having one’s careful words manipulated to mean something quite different.

I read the authors previous book, Poor Economics, which I have also featured previously and I really wanted to share some of the interesting stuff I’ve read on this book!

I feel this passage is a good start for this series of posts. It basically indicates why the authors think there is a general mistrust of economists from the public. In addition, the media channels of today make it hard for us to accept nuance and subtle explanations. Simple and catchy phrases are those that “go viral”. Any nuanced opinions are either not recognized, or might be taken off context and end up as a negative headline on some article or social media post.

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