Book Translations as Idea Flows: The Effects of the Collapse of Communism on the Diffusion of Knowledge
by Ran Abramitzky, Isabelle Sin
We use book translations as a new measure of international idea flows and study the effects of Communism’s collapse in Eastern Europe on these flows. Using novel data on 800,000 translations and difference-in-differences approaches, we show that while translations between Communist languages decreased by two thirds with the collapse, Western-to-Communist translations increased by a factor of four and quickly converged to Western levels. Convergence was more pronounced in the fields of applied and social sciences, and was more complete in Satellite and Baltic than in Soviet countries. We discuss how these patterns help us understand how repressive institutions and preferences towards Western European ideas shaped the international diffusion of knowledge.
Pretty interesting paper (pdf).
We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupation’s probability of computerisation, wages and educational attainment. According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation.
The last paragraph of the conclusion.
Finally, we provide evidence that wages and educational attainment exhibit a strong negative relationship with the probability of computerisation. We note that this finding implies a discontinuity between the nineteenth, twentieth and the twenty-first century, in the impact of capital deepening on the relative demand for skilled labour. While nineteenth century manufacturing technologies largely substituted for skilled labour through the simplification of tasks (Braverman, 1974; Hounshell, 1985; James and Skinner, 1985; Goldin and Katz, 1998), the Computer Revolution of the twentieth century caused a hollowing-out of middle-income jobs (Goos, et al., 2009; Autor and Dorn, 2013). Our model predicts a truncation in the current trend towards labour market polarisation, with computerisation being principally confined to low-skill and low-wage occupations. Our findings thus imply that as technology races ahead, low-skill workers will reallocate to tasks that are non-susceptible to computerisation – i.e., tasks requiring creative and social intelligence. For workers to win the race, however, they will have to acquire creative and social skills.
Attentive Troppodillians will recall Rooter, one of Troppo’s stable of cars, frequently flown to locations around the world in order for the winners of our comps to to take do a few doughies with it. Now comes the learned journal article on Rooter (pdf). It’s a hoax generated by a computer program. And more than a hundred of them have been accepted to conference databases. Pretty amazing stuff.
OK so you all kind of know this, but I’m going to go out on a limb and just put it out there as one younger member of my family has been heard to say. It’s depressing how much stuff is sent our way which repackages what’s already in the ether – stuff we already know, indeed stuff we may have grown up knowing, which is then fed back to us as AMAAAZING new insights into our contemporary world. You’ll laugh, you’ll gasp, you’ll savour those ‘aha’ moments – NOT.
This is the profundification of the commonplace.
The TED Talk above is on a subject that’s dear to my heart. It’s on the over-reliance on experts, the way experts can worship their paradigm and ignore what’s pretty obvious, and in the process tyrannize the wisdom of the lifeworld. I’ve even written whole essays on subject suggesting some possible ways to tackle the problem. So you’d think I’d love a TED Talk on that subject, especially since I agree with it.
Now I’m not expecting rocket science. I know that this is retail speechifying. The speaker is trying to explain ideas about which they’ve thought for some time to people for whom it may have no special significance. They need to be engaged and, dare I say it entertained. That’s as it should be. But lots of talks like that can be really interesting. I’m sure you can point us to some in comments. (On a second run through this I offer this TED talk as an illustration).
But really, having endured the hokeyness of the introduction, gritting my teeth thinking “this is the price of her TED Talk, this person will know something or say something of interest, perhaps compellingly, with cool illustrations” it turns out there is virtually no there there. Just the rehearsal of platitudes we already know – plus the obligatory reference to a brain scan. (Having invested in the technology, Troppo is scanning your brain as you read this and in the future you can be the first to learn the amazing fact to which our research will lead simply by staying tuned to Troppo.) Continue reading
It may not prove much, or rather it proves the obvious – that stuff that makes its way between two pieces of land tends to take place over the sea - but it’s kind of fun.
Above is my presentation to the Berkman Centre for Internet and Society – the background blurb of which is here. You’ll find the first half of the presentation on the fractal ecology of public and private goods is effectively the same content as the first half of this presentation from late last year. However where the first presentation takes the introductory framework as a basis for talking about social capital, the same framework is used as a basis for sketching out a terrain for public-private partnerships. Anyway, I mention this to save you time. I’m not much of a fan of watching videos, as it’s more efficient to read something but in case you’re OK with them – here’s another. But if you want to read the ideas presented you can read them in very summary form in the column here. But I’ve also completed a draft paper on the whole thing. If you’re interested, please email me at ngruen AT gmail and I’ll send you a copy on which I’d be grateful to receive comments and suggestions for improvement.
Prologue to a blog post:
Gentle Troppodillians, as you know, we keep up with the times here at Troppo. Some people like to think just five minutes ahead. Here at Troppo we’re focused on the long-term – eons are seconds in TroppoTime – or seconds are eons depending on the way you look at it. So I know you want to get the latest on Bitcoin – and in that regard this post should not disappoint. It is indeed about bitcoin. But . . . there’s more. This post is also a meta on academic discourse – and how limited it is.
Academia is where one would hope to find a large proportion of the most insightful minds. But for some time I’ve been struck by how limited the academic genre is at engaging with the social and economic transformations that are going on around us. Thus Tim O’Reilly’s “What is Web 2.0” and Clay Shirky’s Here comes everybody, were far more insightful than anything in academia. Indeed I remember the articles on government and web 2.0 I first came across in around 2008 or so were particularly woeful.
Their methodology was often something like this:
- Interview some practitioners
- If it’s an article about government, interview some government practitioners
- Ask them some questions and then report their answers in wide-eyed form.
Voila, there’s your article – ready to be published by some worthy mid-level government administration or policy journal. And something you can present at seminars. The people you’ve interviewed may not have a the slightest clue what they’re talking about, but their ‘outputs’, give you ‘inputs’. They’re answers to your questions (they might not be the right questions either) will give you ‘data’. And you understand what that means. It means that in seminars you will be able to begin responses to questions with expressions like “According to our data”.
Your conclusions will contain such gems as “Make sure objectives are clearly specified”. “Be clear about who your stakeholders are, and what they are seeking from the project”. “Stay in close touch with stakeholders”. ”Ensure the project is flexible and responsive to feedback”. “Evaluate the success of your project when it’s complete and (if you’re feeling frisky or a little flamboyant, ensure that evaluation methodologies are considered throughout the process).” All deliciously useless, masking a total lack of insight in generalities. One could offer this advice about any and everything from building a bridge to toilet training your kids. Further elaboration can be had here.
Anyway, here’s another example of the . . . Continue reading
I’m a fan of Angel-list and have invested in two companies already over the platform (as trustee for Club Troppo’s 4.7 billion self-managed super fund). Here’s the disclaimer which you verify before you get to invest. I like it, though even here I’d rather just one or two clear and simple statements to tick. At least on the consumer side, it’s the sort of thing that we should be moving towards in our review of crowdfunded equity. Will we? Well I’m not holding my breath.
Angel investors should expect to lose their money—almost all startups fail. Even if you diversify, you should expect your total losses to exceed your gains.I understand that I will likely lose my money
Unlike public stocks, angel investments are illiquid. You can’t sell your stake when you choose—it may take years for a startup to return money, if it ever does.I understand that I have no control over the timing of liquidityInvesting with notable investors does not guarantee a return. Make your own decisions. Watching notable investors can inform your decisions, but you must do your own diligence.I understand that I must do diligence and read the investment docsEarly investors are diluted every time a startup raises money. Your share gets diluted in every subsequent financing and you have no right to invest in those financings.I understand that my ownership will be diluted in subsequent roundsStartups change plans constantly and often enter a different market with a different product. Plans and forecasts are not predictions about the future.I understand that startups often radically change their plansYou must indemnify AngelList against any losses, even if the startup committed fraud or lied. This includes any investment opportunities you may have missed.I understand that AngelList isn’t responsible for losses or missed opportunities