50 Matching Annotations
  1. Apr 2023
    1. Why do we devalue education? Is it such a commodity now that its transmission value is worth pennies on the dollar?

      Is Government requirement and support for education part of what causes the devaluation of the "educational market"? If so, how would one decouple this process to increase the wages of educators? Is a capitalistic version the best way to go, or is it better to socialize it further and inject more money into it versus other choices?

      Major nationwide strike forming minimum wage with variances for local consumer indices and city/state costs of living? Something which would drive competition for child care and teaching spaces? Wages that would push up the social value of education? Create a market for competition for teachers at the local level as well as between areas?

  2. Jan 2021
  3. Nov 2020
  4. Oct 2020
  5. Sep 2020
  6. Aug 2020
    1. Cajner, T., Crane, L. D., Decker, R. A., Grigsby, J., Hamins-Puertolas, A., Hurst, E., Kurz, C., & Yildirmaz, A. (2020). The U.S. Labor Market during the Beginning of the Pandemic Recession (Working Paper No. 27159; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27159

  7. Jul 2020
  8. Oct 2019
    1. We live in an age of paradox. Systems using artificial intelligence match or surpass human level performance in more and more domains, leveraging rapid advances in other technologies and driving soaring stock prices. Yet measured productivity growth has fallen in half over the past decade, and real income has stagnated since the late 1990s for a majority of Americans. Brynjolfsson, Rock, and Syverson describe four potential explanations for this clash of expectations and statistics: false hopes, mismeasurement, redistribution, and implementation lags. While a case can be made for each explanation, the researchers argue that lags are likely to be the biggest reason for paradox. The most impressive capabilities of AI, particularly those based on machine learning, have not yet diffused widely. More importantly, like other general purpose technologies, their full effects won't be realized until waves of complementary innovations are developed and implemented. The adjustment costs, organizational changes and new skills needed for successful AI can be modeled as a kind of intangible capital. A portion of the value of this intangible capital is already reflected in the market value of firms. However, most national statistics will fail to capture the full benefits of the new technologies and some may even have the wrong sign

      This is for anyone who is looking deep in economics of artificial intelligence or is doing a project on AI with respect to economics. This paper entails how AI might effect our economy and change the way we think about work. the predictions and facts which are stated here are really impressive like how people 30 years from now will be lively with government employment where everyone will get equal amount of payment.